##Regression for Outcome NM binary (NM Rebel Victory Binary) as DV {.tabset}

0.0.1 First Model

Simple Linear Model with no fixed effects (Coethnicity Nachiket as BINARY)

##                                    model_outcome_binary..1
## Dependent Var.:                    outcome_binary_nachiket
##                                                           
## Constant                               -0.4962*** (0.0532)
## coethnic_rebel_pgm_nachiket_binary     -0.0821*** (0.0157)
## Level_of_Threat                         0.3205*** (0.0236)
## polity2                                   0.0041* (0.0016)
## state_strength                            0.0180. (0.0093)
## rebel_strength_nachiket_scaled             0.0055 (0.0184)
## duration_year                          -0.0025*** (0.0005)
## ethpol                                  0.4530*** (0.0401)
## __________________________________ _______________________
## S.E. type                                              IID
## Observations                                         1,767
## R2                                                 0.52921
## Adj. R2                                            0.52734
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

0.0.1.1 Logit

##                                    model_outcome_binary..1
## Dependent Var.:                    outcome_binary_nachiket
##                                                           
## Constant                                -5.121*** (0.9171)
## coethnic_rebel_pgm_nachiket_binary       -0.4817. (0.2599)
## Level_of_Threat                           1.137** (0.3644)
## polity2                                    0.0062 (0.0333)
## state_strength                            -0.1971 (0.1779)
## rebel_strength_nachiket_scaled             0.0683 (0.2734)
## duration_year                          -0.1232*** (0.0159)
## ethpol                                   7.430*** (0.9249)
## __________________________________ _______________________
## S.E. type                                              IID
## Observations                                         1,767
## Squared Cor.                                       0.56050
## Pseudo R2                                          0.53814
## BIC                                                 731.81
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

0.0.2 Second Model

Simple Linear Model with no fixed effects (Coethnicity Nachiket as NON BINARY)

##                                model_outcome_binary..2
## Dependent Var.:                outcome_binary_nachiket
##                                                       
## Constant                           -0.4904*** (0.0539)
## coethnic_rebel_pgm_nachiket         -0.0544** (0.0170)
## Level_of_Threat                     0.2972*** (0.0232)
## polity2                               0.0031. (0.0016)
## state_strength                        0.0157. (0.0094)
## rebel_strength_nachiket_scaled         0.0242 (0.0181)
## duration_year                      -0.0029*** (0.0005)
## ethpol                              0.4626*** (0.0409)
## ______________________________ _______________________
## S.E. type                                          IID
## Observations                                     1,767
## R2                                             0.52461
## Adj. R2                                        0.52271
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

0.0.2.1 Logit (outcome_binary_nachiket ~ coethnic_rebel_pgm_nachiket + Level_of_Threat + polity2 + state_strength + rebel_strength_nachiket_scaled + duration_year + ethpol)

##                                model_outcome_binary..1
## Dependent Var.:                outcome_binary_nachiket
##                                                       
## Constant                            -5.116*** (0.9160)
## coethnic_rebel_pgm_nachiket           -0.3714 (0.2683)
## Level_of_Threat                       1.077** (0.3634)
## polity2                                0.0019 (0.0334)
## state_strength                        -0.2142 (0.1775)
## rebel_strength_nachiket_scaled         0.1162 (0.2736)
## duration_year                      -0.1244*** (0.0158)
## ethpol                               7.496*** (0.9228)
## ______________________________ _______________________
## S.E. type                                          IID
## Observations                                     1,767
## Squared Cor.                                   0.56165
## Pseudo R2                                      0.53708
## BIC                                             733.35
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

0.0.2.2 Logit (outcome_binary_nachiket ~ coethnic_rebel_pgm_nachiket + Level_of_Threat + polity2 + state_strength + rebel_strength_nachiket_scaled + duration_year + ethpol) WITH GOVERNMENT Fixed effects

##                 model_outcome_binary..2
## Dependent Var.: outcome_binary_nachiket
##                                        
## Level_of_Threat        82.30*** (3.781)
## duration_year         5.673*** (0.3184)
## Fixed-Effects:  -----------------------
## government                          Yes
## _______________ _______________________
## S.E.: Clustered          by: government
## Observations                        178
## Squared Cor.                     1.0000
## Pseudo R2                        1.0000
## BIC                              25.909
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

0.0.2.3 Logit (outcome_binary_nachiket ~ coethnic_rebel_pgm_nachiket + Level_of_Threat + polity2 + state_strength + rebel_strength_nachiket_scaled + duration_year + ethpol) WITH GOVERNMENT AND CONFLICT Fixed effects

##                 model_outcome_binary..3
## Dependent Var.: outcome_binary_nachiket
##                                        
## duration_year             4.241 (3.064)
## Fixed-Effects:  -----------------------
## government                          Yes
## ucdp_conflictid                     Yes
## _______________ _______________________
## S.E.: Clustered          by: government
## Convergence                       FALSE
## Observations                        118
## Squared Cor.                     1.0000
## Pseudo R2                        1.0000
## BIC                              19.083
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

0.0.2.4 Logit with conflict fixed effects

##                 model_outcome_binary..4
## Dependent Var.: outcome_binary_nachiket
##                                        
## duration_year             4.241 (3.051)
## Fixed-Effects:  -----------------------
## ucdp_conflictid                     Yes
## _______________ _______________________
## S.E.: Clustered     by: ucdp_conflictid
## Convergence                       FALSE
## Observations                        118
## Squared Cor.                     1.0000
## Pseudo R2                        1.0000
## BIC                              14.312
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

0.0.3 Third Model

Simple Model with Interaction Term. Removing level of threat because interaction term is there (for synergistic effect). (Coethnicity Nachiket as BINARY)

##                                                 model_outcome_binary..3
## Dependent Var.:                                 outcome_binary_nachiket
##                                                                        
## Constant                                                0.0486 (0.0500)
## coethnic_rebel_pgm_nachiket_binary                     -0.0014 (0.0152)
## polity2                                              0.0112*** (0.0016)
## state_strength                                      -0.0741*** (0.0157)
## rebel_strength_nachiket_scaled                       0.1963*** (0.0249)
## duration_year                                       -0.0055*** (0.0005)
## ethpol                                               0.3480*** (0.0415)
## state_strength x rebel_strength_nachiket_scaled         0.0075 (0.0120)
## ________________________________________        _______________________
## S.E. type                                                           IID
## Observations                                                      1,767
## R2                                                              0.47995
## Adj. R2                                                         0.47788
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

0.0.3.1 Logit

##                                                 model_outcome_binary..1
## Dependent Var.:                                 outcome_binary_nachiket
##                                                                        
## Constant                                                -0.5279 (2.210)
## coethnic_rebel_pgm_nachiket_binary                     -0.3390 (0.8409)
## polity2                                                 0.0330 (0.0911)
## state_strength                                         -1.764* (0.6852)
## rebel_strength_nachiket_scaled                          -1.028 (0.7190)
## duration_year                                        -0.1780** (0.0546)
## ethpol                                                   8.831* (3.957)
## state_strength x rebel_strength_nachiket_scaled        0.8768* (0.3936)
## ________________________________________        _______________________
## S.E.: Clustered                                          by: government
## Observations                                                      1,767
## Squared Cor.                                                    0.55524
## Pseudo R2                                                       0.55404
## BIC                                                              708.67
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

0.0.4 Fourth Model

Simple Model with Interaction Term. Removing level of threat because interaction term is there (for synergistic effect). (Coethnicity Nachiket as NON-BINARY)

##                                                 model_outcome_binary..4
## Dependent Var.:                                 outcome_binary_nachiket
##                                                                        
## Constant                                                0.0468 (0.0494)
## coethnic_rebel_pgm_nachiket                             0.0158 (0.0169)
## polity2                                              0.0105*** (0.0016)
## state_strength                                      -0.0744*** (0.0157)
## rebel_strength_nachiket_scaled                       0.1966*** (0.0249)
## duration_year                                       -0.0056*** (0.0005)
## ethpol                                               0.3436*** (0.0418)
## state_strength x rebel_strength_nachiket_scaled         0.0082 (0.0120)
## ________________________________________        _______________________
## S.E. type                                                           IID
## Observations                                                      1,767
## R2                                                              0.48021
## Adj. R2                                                         0.47814
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

0.0.4.1 logit

##                                                 model_outcome_binary..1
## Dependent Var.:                                 outcome_binary_nachiket
##                                                                        
## Constant                                               -0.6135 (0.7359)
## coethnic_rebel_pgm_nachiket                            -0.2535 (0.2800)
## polity2                                                 0.0291 (0.0329)
## state_strength                                       -1.755*** (0.2307)
## rebel_strength_nachiket_scaled                       -1.013*** (0.3043)
## duration_year                                       -0.1779*** (0.0166)
## ethpol                                                8.859*** (0.9215)
## state_strength x rebel_strength_nachiket_scaled      0.8744*** (0.1392)
## ________________________________________        _______________________
## S.E. type                                                           IID
## Observations                                                      1,767
## Squared Cor.                                                    0.55622
## Pseudo R2                                                       0.55351
## BIC                                                              709.45
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

0.0.4.2 Conflict outcome_new as non-binary

##                                                 model_outcome_b..41
## Dependent Var.:                                         outcome_new
##                                                                    
## Constant                                         0.6924*** (0.0808)
## coethnic_rebel_pgm_nachiket                        0.0701* (0.0285)
## polity2                                         -0.0200*** (0.0028)
## state_strength                                    -0.0418. (0.0249)
## rebel_strength_nachiket_scaled                   0.3026*** (0.0355)
## duration_year                                      -0.0009 (0.0009)
## ethpol                                          -0.4053*** (0.0729)
## state_strength x rebel_strength_nachiket_scaled  0.0631*** (0.0187)
## ________________________________________        ___________________
## S.E. type                                                       IID
## Observations                                                  1,838
## R2                                                          0.31407
## Adj. R2                                                     0.31145
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

0.0.4.3 Conflict outcome_new as non-binary and Bivariate model + government FE

##                             model_outco..42
## Dependent Var.:                 outcome_new
##                                            
## coethnic_rebel_pgm_nachiket 0.1167 (0.1491)
## Fixed-Effects:              ---------------
## government                              Yes
## ___________________________ _______________
## S.E.: Clustered              by: government
## Observations                          1,893
## R2                                  0.68902
## Within R2                           0.01228
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

0.0.4.4 Conflict outcome_new as non-binary and Bivariate model + Conflict fixed effects

##                             model_outco..43
## Dependent Var.:                 outcome_new
##                                            
## coethnic_rebel_pgm_nachiket 0.1216 (0.1551)
## Fixed-Effects:              ---------------
## ucdp_conflictid                         Yes
## ___________________________ _______________
## S.E.: Clustered              by: government
## Observations                          1,873
## R2                                  0.70355
## Within R2                           0.01391
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

0.0.4.5 Conflict outcome_new as non-binary and Multivariate model + government fixed effects without interaction terms and level of threat

##                                model_outcome_..44
## Dependent Var.:                       outcome_new
##                                                  
## coethnic_rebel_pgm_nachiket       0.1263 (0.1661)
## polity2                          0.0839. (0.0420)
## state_strength                 -0.4777** (0.1558)
## rebel_strength_nachiket_scaled    0.0127 (0.1426)
## duration_year                     0.0038 (0.0159)
## Fixed-Effects:                 ------------------
## government                                    Yes
## ______________________________ __________________
## S.E.: Clustered                    by: government
## Observations                                1,838
## R2                                        0.71773
## Within R2                                 0.09435
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

0.0.4.6 Conflict outcome_new as non-binary and Multivariate model + conflict fixed effects without interaction terms and level of threat

##                                model_outco..45
## Dependent Var.:                    outcome_new
##                                               
## coethnic_rebel_pgm_nachiket    0.1742 (0.1713)
## polity2                        0.2883 (0.4729)
## state_strength                 0.4192 (0.5552)
## rebel_strength_nachiket_scaled 0.3685 (0.2331)
## duration_year                  0.0086 (0.0659)
## Fixed-Effects:                 ---------------
## ucdp_conflictid                            Yes
## ______________________________ _______________
## S.E.: Clustered                 by: government
## Observations                             1,818
## R2                                     0.72414
## Within R2                              0.07362
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

0.0.4.7 Conflict outcome_new as non-binary and Multivariate model + government fixed effects without interaction terms or reb or state strength

##                             model_outcome..46
## Dependent Var.:                   outcome_new
##                                              
## coethnic_rebel_pgm_nachiket   0.1762 (0.1612)
## Level_of_Threat             0.5399** (0.1796)
## polity2                       0.0135 (0.0214)
## duration_year                 0.0070 (0.0169)
## Fixed-Effects:              -----------------
## government                                Yes
## ___________________________ _________________
## S.E.: Clustered                by: government
## Observations                            1,838
## R2                                    0.72788
## Within R2                             0.12690
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Outcome ~ coethnicity + duration + polity2 + ethpol (+gdp?)

0.0.4.8 Conflict outcome_new as non-binary and Multivariate model + government fixed effects without interaction terms or reb or state strength or level of threat

##                             model_outcom..47
## Dependent Var.:                  outcome_new
##                                             
## coethnic_rebel_pgm_nachiket  0.1328 (0.1609)
## polity2                     -0.0025 (0.0248)
## duration_year               -0.0073 (0.0181)
## Fixed-Effects:              ----------------
## government                               Yes
## ___________________________ ________________
## S.E.: Clustered               by: government
## Observations                           1,838
## R2                                   0.69463
## Within R2                            0.02022
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

0.0.5 Fifth Model

Fixed Effects Ordinary Least Square Models with Clustered errors at the Country/government level. Coethnic Nachiket (BINARY)

##                                    model_outcome_binary..5
## Dependent Var.:                    outcome_binary_nachiket
##                                                           
## coethnic_rebel_pgm_nachiket_binary         0.0004 (0.0236)
## polity2                                    0.0263 (0.0394)
## Level_of_Threat                            0.4457 (0.2647)
## state_strength                            -0.1193 (0.2453)
## rebel_strength_nachiket_scaled            -0.0706 (0.0775)
## duration_year                              0.0076 (0.0105)
## Fixed-Effects:                     -----------------------
## government                                             Yes
## __________________________________ _______________________
## S.E.: Clustered                             by: government
## Observations                                         1,767
## R2                                                 0.90038
## Within R2                                          0.44030
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

0.0.5.1 Logit

##                 model_outcome_binary..1
## Dependent Var.: outcome_binary_nachiket
##                                        
## Level_of_Threat        82.30*** (3.781)
## duration_year         5.673*** (0.3184)
## Fixed-Effects:  -----------------------
## government                          Yes
## _______________ _______________________
## S.E.: Clustered          by: government
## Observations                        178
## Squared Cor.                     1.0000
## Pseudo R2                        1.0000
## BIC                              25.909
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

0.0.5.2 Outcome non binary

##                                    model_outcom..51
## Dependent Var.:                         outcome_new
##                                                    
## coethnic_rebel_pgm_nachiket_binary  0.1996 (0.2094)
## polity2                             0.0297 (0.0500)
## Level_of_Threat                    0.4678. (0.2502)
## state_strength                     -0.1109 (0.2462)
## rebel_strength_nachiket_scaled     -0.0107 (0.0897)
## duration_year                       0.0066 (0.0176)
## Fixed-Effects:                     ----------------
## government                                      Yes
## __________________________________ ________________
## S.E.: Clustered                      by: government
## Observations                                  1,838
## R2                                          0.73260
## Within R2                                   0.14206
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

0.0.6 Sixth Model

Fixed Effects Ordinary Least Square Models with Clustered errors at the Country/government level. Coethnic Nachiket (NON BINARY)

##                                model_outcome_binary..6
## Dependent Var.:                outcome_binary_nachiket
##                                                       
## coethnic_rebel_pgm_nachiket            0.0053 (0.0197)
## polity2                                0.0260 (0.0392)
## Level_of_Threat                        0.4476 (0.2648)
## state_strength                        -0.1171 (0.2451)
## rebel_strength_nachiket_scaled        -0.0692 (0.0774)
## duration_year                          0.0076 (0.0104)
## Fixed-Effects:                 -----------------------
## government                                         Yes
## ______________________________ _______________________
## S.E.: Clustered                         by: government
## Observations                                     1,767
## R2                                             0.90039
## Within R2                                      0.44039
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

0.0.6.1 Logit

##                 model_outcome_binary..1
## Dependent Var.: outcome_binary_nachiket
##                                        
## Level_of_Threat        82.30*** (3.781)
## duration_year         5.673*** (0.3184)
## Fixed-Effects:  -----------------------
## government                          Yes
## _______________ _______________________
## S.E.: Clustered          by: government
## Observations                        178
## Squared Cor.                     1.0000
## Pseudo R2                        1.0000
## BIC                              25.909
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

0.0.6.2 Outcome non binary

##                                model_outcom..61
## Dependent Var.:                     outcome_new
##                                                
## coethnic_rebel_pgm_nachiket     0.1641 (0.1710)
## polity2                         0.0342 (0.0476)
## Level_of_Threat                0.4575. (0.2499)
## state_strength                 -0.1308 (0.2388)
## rebel_strength_nachiket_scaled -0.0194 (0.0860)
## duration_year                   0.0077 (0.0170)
## Fixed-Effects:                 ----------------
## government                                  Yes
## ______________________________ ________________
## S.E.: Clustered                  by: government
## Observations                              1,838
## R2                                      0.72868
## Within R2                               0.12948
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

0.0.7 Seventh Model

Same as the Third and Fourth models but with FE and clustered errors Coethnic NACHIKET (BINARY) Level of threat removed because we wish to capture the synergistic effects of interaction term

##                                                 model_outcome_binary..7
## Dependent Var.:                                 outcome_binary_nachiket
##                                                                        
## coethnic_rebel_pgm_nachiket_binary                     -0.0234 (0.0251)
## polity2                                               0.0937** (0.0262)
## state_strength                                      -0.7150*** (0.1316)
## rebel_strength_nachiket_scaled                         -0.1432 (0.1284)
## duration_year                                           0.0033 (0.0103)
## state_strength x rebel_strength_nachiket_scaled        0.1246* (0.0555)
## Fixed-Effects:                                  -----------------------
## government                                                          Yes
## ________________________________________        _______________________
## S.E.: Clustered                                          by: government
## Observations                                                      1,767
## R2                                                              0.87668
## Within R2                                                       0.30718
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

0.0.7.1 Logit

##                 model_outcome_binary..1
## Dependent Var.: outcome_binary_nachiket
##                                        
## state_strength         -68.97** (26.46)
## duration_year             4.241 (2.646)
## Fixed-Effects:  -----------------------
## government                          Yes
## _______________ _______________________
## S.E.: Clustered          by: government
## Convergence                       FALSE
## Observations                        178
## Squared Cor.                     1.0000
## Pseudo R2                        1.0000
## BIC                              25.909
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

0.0.7.2 outcome_new non binary

##                                                 model_outcome_b..7
## Dependent Var.:                                        outcome_new
##                                                                   
## coethnic_rebel_pgm_nachiket_binary                 0.1909 (0.2115)
## polity2                                          0.1262** (0.0415)
## state_strength                                  -1.085*** (0.2841)
## rebel_strength_nachiket_scaled                   -0.2349* (0.0889)
## duration_year                                      0.0012 (0.0166)
## state_strength x rebel_strength_nachiket_scaled   0.2979* (0.1415)
## Fixed-Effects:                                  ------------------
## government                                                     Yes
## ________________________________________        __________________
## S.E.: Clustered                                     by: government
## Observations                                                 1,838
## R2                                                         0.72565
## Within R2                                                  0.11976
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

0.0.8 Eighth Model

LM MODEL Same as the Third and Fourth models but with FE and clustered errors Coethnic NACHIKET (NON-BINARY) Level of threat removed because we wish to capture the synergistic effects of interaction term

##                                                 model_outcome_binary..8
## Dependent Var.:                                 outcome_binary_nachiket
##                                                                        
## coethnic_rebel_pgm_nachiket                            -0.0217 (0.0209)
## polity2                                               0.0935** (0.0262)
## state_strength                                      -0.7156*** (0.1319)
## rebel_strength_nachiket_scaled                         -0.1433 (0.1282)
## duration_year                                           0.0031 (0.0101)
## state_strength x rebel_strength_nachiket_scaled        0.1254* (0.0542)
## Fixed-Effects:                                  -----------------------
## government                                                          Yes
## ________________________________________        _______________________
## S.E.: Clustered                                          by: government
## Observations                                                      1,767
## R2                                                              0.87663
## Within R2                                                       0.30686
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

0.0.8.1 logit Model for the one right above (outcome_binary_nachiket ~ coethnic_rebel_pgm_nachiket + polity2 + state_strength + rebel_strength_nachiket_scaled + duration_year + ethpol + state_strength*rebel_strength_nachiket_scaled | government) with government FE

##                 model_outcome_binary..1
## Dependent Var.: outcome_binary_nachiket
##                                        
## state_strength         -68.97** (26.46)
## duration_year             4.241 (2.646)
## Fixed-Effects:  -----------------------
## government                          Yes
## _______________ _______________________
## S.E.: Clustered          by: government
## Convergence                       FALSE
## Observations                        178
## Squared Cor.                     1.0000
## Pseudo R2                        1.0000
## BIC                              25.909
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

0.0.8.2 logit bivariate

##                             model_outcome_binary..1
## Dependent Var.:             outcome_binary_nachiket
##                                                    
## coethnic_rebel_pgm_nachiket    -17.90*** (2.13e-14)
## Fixed-Effects:              -----------------------
## government                                      Yes
## ___________________________ _______________________
## S.E.: Clustered                      by: government
## Observations                                    178
## Squared Cor.                                0.17140
## Pseudo R2                                   0.14155
## BIC                                          230.22
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

0.0.8.3 logit Model for (outcome_binary_nachiket ~ coethnic_rebel_pgm_nachiket + polity2 + state_strength + rebel_strength_nachiket_scaled + duration_year + ethpol + state_strength*rebel_strength_nachiket_scaled | government) WITH GOVERNMENT AND CONFLICT FE

##                 model_outcome_binary..2
## Dependent Var.: outcome_binary_nachiket
##                                        
## duration_year             4.241 (3.064)
## Fixed-Effects:  -----------------------
## government                          Yes
## ucdp_conflictid                     Yes
## _______________ _______________________
## S.E.: Clustered          by: government
## Convergence                       FALSE
## Observations                        118
## Squared Cor.                     1.0000
## Pseudo R2                        1.0000
## BIC                              19.083
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

0.0.9 Ninth Model

Additional Controls FEOLS with Coethnic Nachiket (Binary)

Adding Three Variables and Removing State Strength due to possibility of Multicollinearity and adding individual predictors of state strength

##                                    model_outcome_binary..9
## Dependent Var.:                    outcome_binary_nachiket
##                                                           
## coethnic_rebel_pgm_nachiket_binary         0.0662 (0.0420)
## polity2                                    0.0102 (0.0312)
## gdpcapita_imputed_entire                -0.9650** (0.3137)
## lmilper_imputed_entire                     0.4363 (0.4775)
## ltroopratio_imputed_entire                 0.0094 (0.2396)
## rebel_strength_nachiket_scaled             0.2646 (0.3326)
## duration_year                              0.0112 (0.0152)
## Fixed-Effects:                     -----------------------
## government                                             Yes
## __________________________________ _______________________
## S.E.: Clustered                             by: government
## Observations                                         1,767
## R2                                                 0.88898
## Within R2                                          0.37629
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

0.0.9.1 Logit Model

##                          model_outcome_binary..1
## Dependent Var.:          outcome_binary_nachiket
##                                                 
## gdpcapita_imputed_entire        -118.5** (45.46)
## duration_year                      4.241 (2.646)
## Fixed-Effects:           -----------------------
## government                                   Yes
## ________________________ _______________________
## S.E.: Clustered                   by: government
## Convergence                                FALSE
## Observations                                 178
## Squared Cor.                              1.0000
## Pseudo R2                                 1.0000
## BIC                                       25.909
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

0.0.9.2 Logit Model

##                                    model_outcome_binary..1
## Dependent Var.:                    outcome_binary_nachiket
##                                                           
## coethnic_rebel_pgm_nachiket_binary    -17.90*** (2.13e-14)
## Fixed-Effects:                     -----------------------
## government                                             Yes
## __________________________________ _______________________
## S.E.: Clustered                             by: government
## Observations                                           178
## Squared Cor.                                       0.17140
## Pseudo R2                                          0.14155
## BIC                                                 230.22
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

0.0.10 Tenth Model

Additional Controls FEOLS with Coethnic Nachiket (Binary)

Adding Three Variables and Removing State Strength due to possibility of Multi-collinearity and adding individual predictors of state strength

##                                    model_outcome_binar..10
## Dependent Var.:                    outcome_binary_nachiket
##                                                           
## coethnic_rebel_pgm_nachiket_binary         0.0662 (0.0420)
## polity2                                    0.0102 (0.0312)
## gdpcapita_imputed_entire                -0.9650** (0.3137)
## lmilper_imputed_entire                     0.4363 (0.4775)
## ltroopratio_imputed_entire                 0.0094 (0.2396)
## rebel_strength_nachiket_scaled             0.2646 (0.3326)
## duration_year                              0.0112 (0.0152)
## Fixed-Effects:                     -----------------------
## government                                             Yes
## __________________________________ _______________________
## S.E.: Clustered                             by: government
## Observations                                         1,767
## R2                                                 0.88898
## Within R2                                          0.37629
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

0.0.10.1 Logit Model

##                                    model_outcome_binary..1
## Dependent Var.:                    outcome_binary_nachiket
##                                                           
## coethnic_rebel_pgm_nachiket_binary    -17.90*** (2.13e-14)
## Fixed-Effects:                     -----------------------
## government                                             Yes
## __________________________________ _______________________
## S.E.: Clustered                             by: government
## Observations                                           178
## Squared Cor.                                       0.17140
## Pseudo R2                                          0.14155
## BIC                                                 230.22
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

0.0.10.2 Logit Model

##                                    model_outcome_binary..1
## Dependent Var.:                    outcome_binary_nachiket
##                                                           
## Constant                                  -5.152** (1.940)
## coethnic_rebel_pgm_nachiket_binary        -0.5943 (0.9576)
## Level_of_Threat                           2.081** (0.7617)
## __________________________________ _______________________
## S.E.: Clustered                             by: government
## Observations                                         1,813
## Squared Cor.                                       0.44520
## Pseudo R2                                          0.40211
## BIC                                                 900.84
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

0.0.11 Eleventh Model

0.0.11.1 Logit binary without government fixed effects

##                             model_outcome_binary..1
## Dependent Var.:             outcome_binary_nachiket
##                                                    
## Constant                           -1.690* (0.7843)
## coethnic_rebel_pgm_nachiket        -0.5372 (0.7466)
## ___________________________ _______________________
## S.E.: Clustered                      by: government
## Observations                                  1,822
## Squared Cor.                                0.00569
## Pseudo R2                                   0.00682
## BIC                                         1,476.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

0.0.11.2 Logit binary with government fixed effects

##                             model_outcome_binary..2
## Dependent Var.:             outcome_binary_nachiket
##                                                    
## coethnic_rebel_pgm_nachiket    -17.90*** (2.13e-14)
## Fixed-Effects:              -----------------------
## government                                      Yes
## ___________________________ _______________________
## S.E.: Clustered                      by: government
## Observations                                    178
## Squared Cor.                                0.17140
## Pseudo R2                                   0.14155
## BIC                                          230.22
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

0.0.11.3 Logit binary with government AND conflict fixed effects

##                             model_outcome_binary..3
## Dependent Var.:             outcome_binary_nachiket
##                                                    
## coethnic_rebel_pgm_nachiket        -0.0303 (0.0323)
## Fixed-Effects:              -----------------------
## government                                      Yes
## ucdp_conflictid                                 Yes
## ___________________________ _______________________
## S.E.: Clustered                      by: government
## Observations                                  1,802
## Squared Cor.                                0.87597
## Pseudo R2                                    3.1694
## BIC                                        -2,132.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

0.0.11.4 Additional Controls FEOLS with Coethnic Nachiket (outcome_binary_nachiket ~ coethnic_rebel_pgm_nachiket + polity2 + gdpcapita_imputed_entire + lmilper_imputed_entire + ltroopratio_imputed_entire + rebel_strength_nachiket_scaled + duration_year + ethpol) with government FE

##                                model_outcome_binary..4
## Dependent Var.:                outcome_binary_nachiket
##                                                       
## coethnic_rebel_pgm_nachiket            0.0550 (0.0346)
## polity2                                0.0100 (0.0313)
## gdpcapita_imputed_entire            -0.9525** (0.3251)
## lmilper_imputed_entire                 0.4149 (0.4736)
## ltroopratio_imputed_entire             0.0154 (0.2381)
## rebel_strength_nachiket_scaled         0.2593 (0.3333)
## duration_year                          0.0112 (0.0153)
## Fixed-Effects:                 -----------------------
## government                                         Yes
## ______________________________ _______________________
## S.E.: Clustered                         by: government
## Observations                                     1,767
## R2                                             0.88815
## Within R2                                      0.37161
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

0.0.11.5 Additional Controls FEOLS with Coethnic Nachiket (outcome_binary_nachiket ~ coethnic_rebel_pgm_nachiket + LoT + polity2 + gdpcapita_imputed_entire + lmilper_imputed_entire + ltroopratio_imputed_entire + rebel_strength_nachiket_scaled + duration_year + ethpol) WITHOUT government FE

##                                model_outcome_binary..1
## Dependent Var.:                outcome_binary_nachiket
##                                                       
## Constant                              -1.680* (0.6127)
## coethnic_rebel_pgm_nachiket           -0.0597 (0.0725)
## Level_of_Threat                     0.4475*** (0.0911)
## polity2                                0.0013 (0.0071)
## gdpcapita_imputed_entire               0.0708 (0.0893)
## lmilper_imputed_entire                 0.1025 (0.0747)
## ltroopratio_imputed_entire            -0.0151 (0.0533)
## rebel_strength_nachiket_scaled        -0.0481 (0.1017)
## duration_year                         -0.0019 (0.0033)
## ethpol                                0.5825* (0.2118)
## ______________________________ _______________________
## S.E.: Clustered                         by: government
## Observations                                     1,767
## R2                                             0.56028
## Adj. R2                                        0.55802
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

0.0.11.6 Additional Controls FEOLS with Coethnic Nachiket (outcome_binary_nachiket ~ coethnic_rebel_pgm_nachiket + LoT + polity2 + gdpcapita_imputed_entire + lmilper_imputed_entire + ltroopratio_imputed_entire + rebel_strength_nachiket_scaled + duration_year + ethpol) WITH government FE

##                                model_outcome_binary..2
## Dependent Var.:                outcome_binary_nachiket
##                                                       
## coethnic_rebel_pgm_nachiket            0.0019 (0.0166)
## Level_of_Threat                     0.6547*** (0.1669)
## polity2                                0.0326 (0.0309)
## gdpcapita_imputed_entire               0.0976 (0.3217)
## lmilper_imputed_entire                 0.0739 (0.5001)
## ltroopratio_imputed_entire            -0.2759 (0.2482)
## rebel_strength_nachiket_scaled        -0.2910 (0.2261)
## duration_year                          0.0126 (0.0147)
## Fixed-Effects:                 -----------------------
## government                                         Yes
## ______________________________ _______________________
## S.E.: Clustered                         by: government
## Observations                                     1,767
## R2                                             0.90436
## Within R2                                      0.46269
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

0.0.11.7 Logit Model (outcome_binary_nachiket ~ coethnic_rebel_pgm_nachiket + polity2)

##                             model_outcome_binary..5
## Dependent Var.:             outcome_binary_nachiket
##                                                    
## Constant                           -1.690* (0.7843)
## coethnic_rebel_pgm_nachiket        -0.5372 (0.7466)
## ___________________________ _______________________
## S.E.: Clustered                      by: government
## Observations                                  1,822
## Squared Cor.                                0.00569
## Pseudo R2                                   0.00682
## BIC                                         1,476.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

0.0.11.8 Logit Model (outcome_binary_nachiket ~ coethnic_rebel_pgm_nachiket + Level_of_Threat)

##                             model_outcome_binary..6
## Dependent Var.:             outcome_binary_nachiket
##                                                    
## Constant                            -5.303* (2.110)
## coethnic_rebel_pgm_nachiket         -0.2162 (1.145)
## Level_of_Threat                    2.091** (0.8109)
## ___________________________ _______________________
## S.E.: Clustered                      by: government
## Observations                                  1,813
## Squared Cor.                                0.44772
## Pseudo R2                                   0.39650
## BIC                                          909.09
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

0.1 Stargazer 2

(1) (2) (3) (4) (5) (6) (7)
(Intercept) -1.690* -5.303* -1.680* -0.613
(0.784) (2.110) (0.613) (0.736)
(0.031) (0.012) (0.012) (0.405)
coethnic_rebel_pgm_nachiket -0.537 -17.903*** -0.216 -0.060 0.002 -0.253 -0.022
(0.747) (0.000) (1.145) (0.073) (0.017) (0.280) (0.021)
(0.472) (<0.001) (0.850) (0.419) (0.911) (0.365) (0.312)
Level_of_Threat 2.091** 0.448*** 0.655***
(0.811) (0.091) (0.167)
(0.010) (<0.001) (<0.001)
polity2 0.001 0.033 0.029 0.094**
(0.007) (0.031) (0.033) (0.026)
(0.855) (0.305) (0.376) (0.002)
gdpcapita_imputed_entire 0.071 0.098
(0.089) (0.322)
(0.437) (0.765)
lmilper_imputed_entire 0.102 0.074
(0.075) (0.500)
(0.185) (0.884)
ltroopratio_imputed_entire -0.015 -0.276
(0.053) (0.248)
(0.780) (0.279)
rebel_strength_nachiket_scaled -0.048 -0.291 -1.013*** -0.143
(0.102) (0.226) (0.304) (0.128)
(0.641) (0.212) (<0.001) (0.276)
duration_year -0.002 0.013 -0.178*** 0.003
(0.003) (0.015) (0.017) (0.010)
(0.571) (0.402) (<0.001) (0.760)
ethpol 0.582* 8.859***
(0.212) (0.922)
(0.012) (<0.001)
state_strength -1.755*** -0.716***
(0.231) (0.132)
(<0.001) (<0.001)
state_strength × rebel_strength_nachiket_scaled 0.874*** 0.125*
(0.139) (0.054)
(<0.001) (0.031)
Num.Obs. 1822 178 1813 1767 1767 1767 1767
R2 0.007 0.142 0.396 0.560 0.904 0.554 0.877
R2 Adj. 0.005 0.117 0.394 0.558 0.903 0.544 0.875
R2 Within 0.060 0.463 0.307
R2 Within Adj. 0.051 0.460 0.304
AIC 1465.7 217.5 892.6 -118.9 -2774.6 665.6 -2328.6
BIC 1476.7 230.2 909.1 -64.2 -2610.3 709.4 -2175.3
RMSE 0.35 0.45 0.26 0.23 0.11 0.23 0.12
Std.Errors by: government by: government by: government by: government by: government IID by: government
FE: government X X X

Note: ^^ + p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001

---
title: "Civil Wars LONGITUDINAL NEW  OUTCOME VARIABLES UPDATED RESULTS"
author: "Dr. Dipin Kaur"
output: 
  html_document:
    theme: cosmo
    highlight: tango
    toc: true
    toc_float: true
    code_folding: hide
    code_download: true
    number_sections: true  # Number sections for the table of contents
    fig_caption: true      # Enable figure captions
    css: styles.css        # Link to a custom CSS file for styling
editor_options: 
  markdown: 
    wrap: sentence
---

```{r echo=FALSE, warning=FALSE, message=FALSE}
#Loading Libraries
library(tidyverse)
library(tidyr)
library(dplyr)
library(ggplot2)
library(knitr)
library(kableExtra)
library(snakecase)
library(ggthemes)
library(WDI)
library(betareg)
library(forcats)
library(stringdist)
library(expss)
library(lfe)
library(devtools)
library(zoo)
library(sandwich)
library(plm)
library(broom)
library(stargazer)
library(janitor)
library(modelsummary)
library(transformr)
library(gganimate)
library(gifski)
library(av)
library(flextable)
library(IRdisplay)
library(gmodels)
library(fixest)
library(ca)
library(stargazer)
library(texreg)
library(mlogit)
```

```{r echo=FALSE, warning=FALSE, message=FALSE}
# LOADING DATASETS and making new variables
main_civilwars <- read.csv("/Users/Nachiket/Files From e.localized/Prof Dipin Kaur RA work/Datasets/Final_Universe_civilwars.csv")

main_civilwars <- main_civilwars %>% mutate(duration_year = endyr_conflict - startyr_conflict)

main_civilwars_ethnic <- main_civilwars %>% 
  filter(conflict_ethnic == 1)

main_civilwars_ethnic_longitudnal <- main_civilwars_ethnic %>%
  filter(!is.na(startyr_conflict) & !is.na(endyr_conflict)) %>% 
  rowwise() %>%
  do(data.frame(., Year = seq(.$startyr_conflict, .$endyr_conflict))) %>%
  ungroup()
```

```{r echo=FALSE, message=FALSE, warning=FALSE}
## Making a State Strength Variable by Standardising the three variables that we already have ##

# First we replace NAs with imputed means

## TRY WITH IMPUTATION FROM THE COUNTRY LEVEL: Tried and the note here is that had to be done manually took a bit of time was succesful and the NAs we were still left with were: 7 in logpcgdp, 10 each in lmilper and ltroopratio and then only these were in turn imputed from overall averages. this for sure reduces discrepancies

main_civilwars_ethnic_longitudnal <- main_civilwars_ethnic_longitudnal %>% 
  mutate(
    gdpcapita_imputed_entire = ifelse(is.na(logpcgdp), mean(logpcgdp, na.rm = TRUE), logpcgdp),
    lmilper_imputed_entire = ifelse(is.na(lmilper), mean(lmilper, na.rm = TRUE), lmilper),
    ltroopratio_imputed_entire = ifelse(is.na(ltroopratio), mean(ltroopratio, na.rm = TRUE), ltroopratio)
  ) %>% 
  mutate(gdpcapita_scaled_entire = scale(gdpcapita_imputed_entire),
         lmilper_scaled_entire = scale(lmilper_imputed_entire),
         ltroopratio_scaled_entire = scale(ltroopratio_imputed_entire)
         )
```

```{r echo=FALSE, message=FALSE, warning=FALSE}
### Also converting the "coethnic_rebel_pgm_nachiket" to a binary variable where "0.5s" are being turned into "1s" for purposes of making this a dummy outcome_new variable and relabeling this as "coethnic_rebel_pgm_nachiket_binary"

main_civilwars_ethnic_longitudnal <- main_civilwars_ethnic_longitudnal %>% 
  mutate(coethnic_rebel_pgm_nachiket_binary = case_when(
   coethnic_rebel_pgm_nachiket == 1 ~ 1,
   coethnic_rebel_pgm_nachiket == 0.5 ~ 1, 
   coethnic_rebel_pgm_nachiket == 0 ~ 0,
  ))


## Making a new variable for rebel strength based on what we decided, i.e. rebel strength based on the log_troop ratio The idea is to create a scale called rebel_strength_nachiket_scaled where the scale value inversely reflects the "log troop ratio"—higher log troop ratios (indicating stronger government troops relative to rebels) correspond to lower values on the scale, indicating weaker rebel strength.

#But we want to invert this scale for
# Higher log troop ratio (government troops are much stronger than rebels) → Lower scale value (lower rebel strength)
# Lower log troop ratio (rebels are stronger relative to government troops) → Higher scale value (higher rebel strength)


# Logically this is how the breaks make the most sense
# -Inf to -0.5: This includes all values less than or equal to -0.5.
# -0.5 to 0: This includes values greater than -0.5 and up to 0.
# 0 to 1: This includes values greater than 0 and up to 1.
# 1 to 2: This includes values greater than 1 and up to 2.
# 2 to Inf: This includes values greater than 2.

main_civilwars_ethnic_longitudnal <- main_civilwars_ethnic_longitudnal %>%
  mutate(rebel_strength_nachiket_scaled = cut(logtroop, 
                                              breaks = c(-Inf, -0.5, 0,1,2, Inf), 
                                              include.lowest = TRUE, 
                                              labels = c(5, 4, 3, 2, 1)))

#Inversing the scale owing to numericisation
main_civilwars_ethnic_longitudnal <- main_civilwars_ethnic_longitudnal %>%
  mutate(rebel_strength_nachiket_scaled = as.numeric(rebel_strength_nachiket_scaled)) %>% 
  mutate(rebel_strength_nachiket_scaled = case_when(
    rebel_strength_nachiket_scaled == 1 ~5,
    rebel_strength_nachiket_scaled == 2 ~4,
    rebel_strength_nachiket_scaled == 3 ~3,
    rebel_strength_nachiket_scaled == 4 ~2,
    rebel_strength_nachiket_scaled == 5 ~1
  ))
  

# On a scale of 1 to 5:
# 
# 1: Indicates very strong government forces compared to rebels (high log troop ratio, low rebel strength).
# 5: Indicates very strong rebel forces compared to government forces (low or negative log troop ratio, high rebel strength).




# "Note on Reb_Strength NSA"
## Reb_Strength_NSA (5 is strongest but dataset has inconsistencies)
# This inversion implies that:
# In the original Cunningham et al. measure:
# 1 might represent much stronger rebels compared to the government.
# 5 might represent much weaker rebels compared to the government.

# In the rebstrength_NSA measure:
# 1 would now represent much weaker rebels compared to the government.
# 5 would now represent much stronger rebels compared to the government.
```

```{r echo=FALSE, message=FALSE, warning=FALSE}
## Performing PCA

# Select the scaled columns for PCA
scaled_data_entire <- main_civilwars_ethnic_longitudnal %>%
  select(gdpcapita_scaled_entire, lmilper_scaled_entire, ltroopratio_scaled_entire)

# Perform PCA
pca_result <- prcomp(scaled_data_entire, center = TRUE, scale. = TRUE)

# Extract the first principal component as state_strength
main_civilwars_ethnic_longitudnal <- main_civilwars_ethnic_longitudnal %>%
  mutate(state_strength_pca = pca_result$x[, 1])

# Scale state_strength to a range of 1 to 5
main_civilwars_ethnic_longitudnal <- main_civilwars_ethnic_longitudnal %>%
  mutate(state_strength_scaled = cut(state_strength_pca, 
                                     breaks = quantile(state_strength_pca, probs = seq(0, 1, length.out = 6), na.rm = TRUE), 
                                     include.lowest = TRUE, 
                                     labels = c(1, 2, 3, 4, 5)))

# Convert state_strength to numeric
main_civilwars_ethnic_longitudnal <- main_civilwars_ethnic_longitudnal %>%
  mutate(state_strength = as.numeric(as.character(state_strength_scaled)))
```

```{r echo=FALSE, message=FALSE, warning=FALSE}
## Consequently Making a level of threat (Threat Perception) Variable ##
# conceptually how this variable is defined is that now that reb_strength_nsa variable is on a scale of 1-3 and we have state-strength on the same level so if state_strength = reb_strength then Level of threat is 2 (at parity) and if reb_strength < state_strength then level of threat is 1 and if reb_strength > state_strength then Level of Threat is 3. There is a solid mathematical reason as to why this cannot be made on a scale of 1 to 5. 


main_civilwars_ethnic_longitudnal <- main_civilwars_ethnic_longitudnal %>% 
  mutate(Level_of_Threat = case_when(
    is.na(rebel_strength_nachiket_scaled) ~ NA_real_,
    state_strength < rebel_strength_nachiket_scaled ~ 3,
    state_strength == rebel_strength_nachiket_scaled ~ 2,
    state_strength > rebel_strength_nachiket_scaled ~ 1,
    TRUE ~ NA_real_
  )) %>%  
  select(ucdp_conflictid, Year, government, rebels, rebel_ethnic, rebel_ethnicity_NAG, rebel_religion_NAG, pro_govt_militia_pgm_created, conflict_ethnic, pgm_ethnicity_1, pgm_ethnicity_2, coethnic_rebel_pgm_nachiket, coethnic_rebel_pgm_nachiket_binary, coethnic_state_pgm_abbsetal, coethnic_rebel_pgm_stanton, coethnic_rebel_pgm_dk, state_strength, rebel_strength_nachiket_scaled, Level_of_Threat, everything())

rm(scaled_data_entire)
write.csv(main_civilwars_ethnic_longitudnal,"Longitudinal_Final_ethnic_only.csv")

### Lastly Converting Outcome into a chr categorical variable where 0 = lose (rebel loss), 1 = draw (settlement), 2 = win (rebel victory)
main_civilwars_ethnic_longitudnal <- main_civilwars_ethnic_longitudnal %>% 
  mutate(outcome_cat =  case_when(
    outcome == 0 ~ "Loss",
    outcome == 1 ~ "Draw",
    outcome  == 2 ~ "Win",
    TRUE ~ NA_character_
  ))
  
main_civilwars_ethnic_longitudnal$outcome_cat <- factor(main_civilwars_ethnic_longitudnal$outcome_cat)

### Lastly Converting Outcome into a chr categorical variable where 0 = lose (rebel loss), 1 = draw (settlement), 2 = win (rebel victory)
main_civilwars_ethnic_longitudnal <- main_civilwars_ethnic_longitudnal %>% 
  mutate(outcome_cat_new =  case_when(
    outcome_new == 0 ~ "Loss",
    outcome_new == 1 ~ "Draw",
    outcome_new  == 2 ~ "Win",
    TRUE ~ NA_character_
  ))
main_civilwars_ethnic_longitudnal$outcome_cat_new <- factor(main_civilwars_ethnic_longitudnal$outcome_cat_new)

```

##Regression for Outcome NM binary (NM Rebel Victory Binary) as DV {.tabset}

### First Model

**Simple Linear Model with no fixed effects (Coethnicity Nachiket as BINARY)**

```{r echo=FALSE, warning=FALSE, message=FALSE}
## Regression for co_ethnicity_nm as DV


model_outcome_binary_nm_1 <- feols(outcome_binary_nachiket ~ coethnic_rebel_pgm_nachiket_binary+ Level_of_Threat + polity2 + state_strength + rebel_strength_nachiket_scaled + duration_year + ethpol, data = main_civilwars_ethnic_longitudnal)

fixest::etable(model_outcome_binary_nm_1)
```

#### Logit

```{r echo=FALSE, warning=FALSE, message=FALSE}
## Regression for co_ethnicity_nm as DV


model_outcome_binary_nm_1_1 <- feglm(outcome_binary_nachiket ~ coethnic_rebel_pgm_nachiket_binary+ Level_of_Threat + polity2 + state_strength + rebel_strength_nachiket_scaled + duration_year + ethpol,family = binomial(link = "logit"), data = main_civilwars_ethnic_longitudnal)

fixest::etable(model_outcome_binary_nm_1_1)
```

### Second Model

**Simple Linear Model with no fixed effects (Coethnicity Nachiket as NON BINARY)**

```{r echo=FALSE, warning=FALSE, message=FALSE}
## Regression for co_ethnicity_nm as DV


model_outcome_binary_nm_2 <- feols(outcome_binary_nachiket ~ coethnic_rebel_pgm_nachiket + Level_of_Threat + polity2 + state_strength + rebel_strength_nachiket_scaled + duration_year + ethpol, data = main_civilwars_ethnic_longitudnal)

fixest::etable(model_outcome_binary_nm_2)
```

#### Logit (outcome_binary_nachiket ~ coethnic_rebel_pgm_nachiket + Level_of_Threat + polity2 + state_strength + rebel_strength_nachiket_scaled + duration_year + ethpol)

```{r echo=FALSE, warning=FALSE, message=FALSE}
## Regression for co_ethnicity_nm as DV


model_outcome_binary_nm_2_1 <- feglm(outcome_binary_nachiket ~ coethnic_rebel_pgm_nachiket + Level_of_Threat + polity2 + state_strength + rebel_strength_nachiket_scaled + duration_year + ethpol, family = binomial(link = "logit"), data = main_civilwars_ethnic_longitudnal)

fixest::etable(model_outcome_binary_nm_2_1)
```
#### Logit (outcome_binary_nachiket ~ coethnic_rebel_pgm_nachiket + Level_of_Threat + polity2 + state_strength + rebel_strength_nachiket_scaled + duration_year + ethpol) **WITH GOVERNMENT Fixed effects**

```{r echo=FALSE, warning=FALSE, message=FALSE}
## Regression for co_ethnicity_nm as DV


model_outcome_binary_nm_2_2 <- feglm(outcome_binary_nachiket ~ coethnic_rebel_pgm_nachiket + Level_of_Threat + polity2 + state_strength + rebel_strength_nachiket_scaled + duration_year + ethpol | government, family = binomial(link = "logit"), data = main_civilwars_ethnic_longitudnal)

fixest::etable(model_outcome_binary_nm_2_2)
```


#### Logit (outcome_binary_nachiket ~ coethnic_rebel_pgm_nachiket + Level_of_Threat + polity2 + state_strength + rebel_strength_nachiket_scaled + duration_year + ethpol) **WITH GOVERNMENT AND CONFLICT Fixed effects**

```{r echo=FALSE, warning=FALSE, message=FALSE}
## Regression for co_ethnicity_nm as DV


model_outcome_binary_nm_2_3 <- feglm(outcome_binary_nachiket ~ coethnic_rebel_pgm_nachiket + Level_of_Threat + polity2 + state_strength + rebel_strength_nachiket_scaled + duration_year + ethpol | government + ucdp_conflictid, family = binomial(link = "logit"), data = main_civilwars_ethnic_longitudnal)

fixest::etable(model_outcome_binary_nm_2_3)
```

#### Logit with conflict fixed effects

```{r echo=FALSE, warning=FALSE, message=FALSE}
## Regression for co_ethnicity_nm as DV


model_outcome_binary_nm_2_4 <- feglm(outcome_binary_nachiket ~ coethnic_rebel_pgm_nachiket + Level_of_Threat + polity2 + state_strength + rebel_strength_nachiket_scaled + duration_year + ethpol | ucdp_conflictid , family = binomial(link = "logit"), data = main_civilwars_ethnic_longitudnal)

fixest::etable(model_outcome_binary_nm_2_4)

```
### Third Model 

**Simple Model with Interaction Term. Removing level of threat because interaction term is there (for synergistic effect). (Coethnicity Nachiket as BINARY)**

```{r echo=FALSE, warning=FALSE, message=FALSE}
## Regression for co_ethnicity_nm as DV


model_outcome_binary_nm_3 <- feols(outcome_binary_nachiket ~ coethnic_rebel_pgm_nachiket_binary + polity2 + state_strength + rebel_strength_nachiket_scaled + duration_year + ethpol + state_strength*rebel_strength_nachiket_scaled, data = main_civilwars_ethnic_longitudnal)

fixest::etable(model_outcome_binary_nm_3)

```


#### Logit

```{r echo=FALSE, warning=FALSE, message=FALSE}

model_outcome_binary_nm_3_1 <- feglm(outcome_binary_nachiket ~ coethnic_rebel_pgm_nachiket_binary + polity2 + state_strength + rebel_strength_nachiket_scaled + duration_year + ethpol + state_strength*rebel_strength_nachiket_scaled, family = binomial(link = "logit"), data = main_civilwars_ethnic_longitudnal, cluster = ~government)

fixest::etable(model_outcome_binary_nm_3_1)

```

### Fourth Model

**Simple Model with Interaction Term. Removing level of threat because interaction term is there (for synergistic effect). (Coethnicity Nachiket as NON-BINARY)**

```{r echo=FALSE, warning=FALSE, message=FALSE}

model_outcome_binary_nm_4 <- feols(outcome_binary_nachiket ~ coethnic_rebel_pgm_nachiket + polity2 + state_strength + rebel_strength_nachiket_scaled + duration_year + ethpol + state_strength*rebel_strength_nachiket_scaled, data = main_civilwars_ethnic_longitudnal)

fixest::etable(model_outcome_binary_nm_4)

```

#### logit

```{r echo=FALSE, warning=FALSE, message=FALSE}

model_outcome_binary_nm_4_1 <- feglm(outcome_binary_nachiket ~ coethnic_rebel_pgm_nachiket + polity2 + state_strength + rebel_strength_nachiket_scaled + duration_year + ethpol + state_strength*rebel_strength_nachiket_scaled,family = binomial(link = "logit"), data = main_civilwars_ethnic_longitudnal)

fixest::etable(model_outcome_binary_nm_4_1)

```

#### Conflict outcome_new as non-binary

```{r echo=FALSE, warning=FALSE, message=FALSE}
model_outcome_binary_nm_41 <- feols(outcome_new ~ coethnic_rebel_pgm_nachiket + polity2 + state_strength + rebel_strength_nachiket_scaled + duration_year + ethpol + state_strength*rebel_strength_nachiket_scaled, data = main_civilwars_ethnic_longitudnal)

fixest::etable(model_outcome_binary_nm_41)
```

#### Conflict outcome_new as non-binary and Bivariate model + government FE

```{r echo=FALSE, message=FALSE, warning=FALSE}
model_outcome_binary_nm_42 <- feols(outcome_new ~ coethnic_rebel_pgm_nachiket | government,data = main_civilwars_ethnic_longitudnal, cluster = ~government)

fixest::etable(model_outcome_binary_nm_42)
```

#### Conflict outcome_new as non-binary and Bivariate model + Conflict fixed effects

```{r echo=FALSE, message=FALSE, warning=FALSE}
model_outcome_binary_nm_43 <- feols(outcome_new ~ coethnic_rebel_pgm_nachiket | ucdp_conflictid,data = main_civilwars_ethnic_longitudnal, cluster = ~government)

fixest::etable(model_outcome_binary_nm_43)
```

#### Conflict outcome_new as non-binary and Multivariate model + government fixed effects without interaction terms and level of threat

```{r echo=FALSE, message=FALSE, warning=FALSE}
model_outcome_binary_nm_44 <- feols(outcome_new ~ coethnic_rebel_pgm_nachiket + polity2 + state_strength + rebel_strength_nachiket_scaled + duration_year + ethpol | government,data = main_civilwars_ethnic_longitudnal, cluster = ~government)

fixest::etable(model_outcome_binary_nm_44)
```

#### Conflict outcome_new as non-binary and Multivariate model + conflict fixed effects without interaction terms and level of threat

```{r echo=FALSE, message=FALSE, warning=FALSE}
model_outcome_binary_nm_45 <- feols(outcome_new ~ coethnic_rebel_pgm_nachiket + polity2 + state_strength + rebel_strength_nachiket_scaled + duration_year + ethpol | ucdp_conflictid,data = main_civilwars_ethnic_longitudnal, cluster = ~government)

fixest::etable(model_outcome_binary_nm_45)
```

#### Conflict outcome_new as non-binary and Multivariate model + government fixed effects without interaction terms or reb or state strength

```{r echo=FALSE, message=FALSE, warning=FALSE}
model_outcome_binary_nm_46 <- feols(outcome_new ~ coethnic_rebel_pgm_nachiket + Level_of_Threat + polity2 + duration_year + ethpol | government,data = main_civilwars_ethnic_longitudnal, cluster = ~government)

fixest::etable(model_outcome_binary_nm_46)
```
Outcome ~ coethnicity + duration + polity2 + ethpol (+gdp?)

#### Conflict outcome_new as non-binary and Multivariate model + government fixed effects without interaction terms or reb or state strength or level of threat

```{r echo=FALSE, message=FALSE, warning=FALSE}
model_outcome_binary_nm_47 <- feols(outcome_new ~ coethnic_rebel_pgm_nachiket + polity2 + duration_year + ethpol | government,data = main_civilwars_ethnic_longitudnal, cluster = ~government)

fixest::etable(model_outcome_binary_nm_47)



```


### Fifth Model

**Fixed Effects Ordinary Least Square Models with Clustered errors at the Country/government level. Coethnic Nachiket (BINARY)**

```{r echo=FALSE, message=FALSE, warning=FALSE}
model_outcome_binary_nm_5 <- feols(outcome_binary_nachiket ~ coethnic_rebel_pgm_nachiket_binary + polity2 +Level_of_Threat + state_strength + rebel_strength_nachiket_scaled + duration_year + ethpol | government ,
               data = main_civilwars_ethnic_longitudnal, cluster = ~government)

fixest::etable(model_outcome_binary_nm_5)

```

#### Logit

```{r echo=FALSE, message=FALSE, warning=FALSE}
model_outcome_binary_nm_5_1 <- feglm(outcome_binary_nachiket ~ coethnic_rebel_pgm_nachiket_binary + polity2 +Level_of_Threat + state_strength + rebel_strength_nachiket_scaled + duration_year + ethpol | government ,family = binomial(link = "logit"),
               data = main_civilwars_ethnic_longitudnal, cluster = ~government)

fixest::etable(model_outcome_binary_nm_5_1)

```

#### Outcome non binary

```{r echo=FALSE, message=FALSE, warning=FALSE}
model_outcome_binary_nm_51 <- feols(outcome_new ~ coethnic_rebel_pgm_nachiket_binary + polity2 +Level_of_Threat + state_strength + rebel_strength_nachiket_scaled + duration_year + ethpol | government ,
               data = main_civilwars_ethnic_longitudnal, cluster = ~government)

fixest::etable(model_outcome_binary_nm_51)
```

### Sixth Model

**Fixed Effects Ordinary Least Square Models with Clustered errors at the Country/government level. Coethnic Nachiket (NON BINARY)**

```{r echo=FALSE, message=FALSE, warning=FALSE}
model_outcome_binary_nm_6 <- feols(outcome_binary_nachiket ~ coethnic_rebel_pgm_nachiket + polity2 +Level_of_Threat + state_strength + rebel_strength_nachiket_scaled + duration_year + ethpol | government,
               data = main_civilwars_ethnic_longitudnal, cluster = ~government)

fixest::etable(model_outcome_binary_nm_6)
```

#### Logit

```{r echo=FALSE, message=FALSE, warning=FALSE}
model_outcome_binary_nm_6_1 <- feglm(outcome_binary_nachiket ~ coethnic_rebel_pgm_nachiket + polity2 +Level_of_Threat + state_strength + rebel_strength_nachiket_scaled + duration_year + ethpol | government,family = binomial(link = "logit"),
               data = main_civilwars_ethnic_longitudnal, cluster = ~government)

fixest::etable(model_outcome_binary_nm_6_1)
```

#### Outcome non binary

```{r echo=FALSE, message=FALSE, warning=FALSE}
model_outcome_binary_nm_61 <- feols(outcome_new ~ coethnic_rebel_pgm_nachiket + polity2 +Level_of_Threat + state_strength + rebel_strength_nachiket_scaled + duration_year + ethpol | government,
               data = main_civilwars_ethnic_longitudnal, cluster = ~government)

fixest::etable(model_outcome_binary_nm_61)
```

### Seventh Model

**Same as the Third and Fourth models but with FE and clustered errors Coethnic NACHIKET (BINARY)** Level of threat removed because we wish to capture the synergistic effects of interaction term

```{r echo=FALSE, message=FALSE, warning=FALSE}
model_outcome_binary_nm_7 <- feols(outcome_binary_nachiket ~
                        coethnic_rebel_pgm_nachiket_binary + polity2 + state_strength + rebel_strength_nachiket_scaled + duration_year + ethpol + state_strength*rebel_strength_nachiket_scaled | government, data = main_civilwars_ethnic_longitudnal, cluster = ~government)


fixest::etable(model_outcome_binary_nm_7)

```

#### Logit

```{r echo=FALSE, message=FALSE, warning=FALSE}
model_outcome_binary_nm_7_1 <- feglm(outcome_binary_nachiket ~
                        coethnic_rebel_pgm_nachiket_binary + polity2 + state_strength + rebel_strength_nachiket_scaled + duration_year + ethpol + state_strength*rebel_strength_nachiket_scaled | government, family = binomial(link = "logit"), data = main_civilwars_ethnic_longitudnal, cluster = ~government)


fixest::etable(model_outcome_binary_nm_7_1)

```

#### outcome_new non binary

```{r echo=FALSE, message=FALSE, warning=FALSE}
model_outcome_binary_nm_7 <- feols(outcome_new ~
                        coethnic_rebel_pgm_nachiket_binary + polity2 + state_strength + rebel_strength_nachiket_scaled + duration_year + ethpol + state_strength*rebel_strength_nachiket_scaled | government, data = main_civilwars_ethnic_longitudnal, cluster = ~government)


fixest::etable(model_outcome_binary_nm_7)

```

### Eighth Model

**LM MODEL Same as the Third and Fourth models but with FE and clustered errors Coethnic NACHIKET (NON-BINARY)** Level of threat removed because we wish to capture the synergistic effects of interaction term

```{r echo=FALSE, message=FALSE, warning=FALSE}
model_outcome_binary_nm_8 <- feols(outcome_binary_nachiket ~
                        coethnic_rebel_pgm_nachiket + polity2 + state_strength + rebel_strength_nachiket_scaled + duration_year + ethpol + state_strength*rebel_strength_nachiket_scaled | government, data = main_civilwars_ethnic_longitudnal, cluster = ~government)


fixest::etable(model_outcome_binary_nm_8)

```

#### logit Model for the one right above (outcome_binary_nachiket ~ coethnic_rebel_pgm_nachiket + polity2 + state_strength + rebel_strength_nachiket_scaled + duration_year + ethpol + state_strength*rebel_strength_nachiket_scaled | government) with government FE

```{r echo=FALSE, message=FALSE, warning=FALSE}
model_outcome_binary_nm_8_1 <- feglm(outcome_binary_nachiket ~
                        coethnic_rebel_pgm_nachiket + polity2 + state_strength + rebel_strength_nachiket_scaled + duration_year + ethpol + state_strength*rebel_strength_nachiket_scaled | government, data = main_civilwars_ethnic_longitudnal, family = binomial(link = "logit"), cluster = ~government)


fixest::etable(model_outcome_binary_nm_8_1)

```

#### logit bivariate


```{r echo=FALSE, message=FALSE, warning=FALSE}
model_outcome_binary_nm_8_1_1 <- feglm(outcome_binary_nachiket ~
                        coethnic_rebel_pgm_nachiket | government, data = main_civilwars_ethnic_longitudnal, family = binomial(link = "logit"), cluster = ~government)


fixest::etable(model_outcome_binary_nm_8_1_1)

```
#### logit Model for (outcome_binary_nachiket ~ coethnic_rebel_pgm_nachiket + polity2 + state_strength + rebel_strength_nachiket_scaled + duration_year + ethpol + state_strength*rebel_strength_nachiket_scaled | government) WITH GOVERNMENT AND CONFLICT FE

```{r echo=FALSE, message=FALSE, warning=FALSE}
model_outcome_binary_nm_8_2 <- feglm(outcome_binary_nachiket ~
                        coethnic_rebel_pgm_nachiket + polity2 + state_strength + rebel_strength_nachiket_scaled + duration_year + ethpol + state_strength*rebel_strength_nachiket_scaled | government + ucdp_conflictid, data = main_civilwars_ethnic_longitudnal, family = binomial(link = "logit"), cluster = ~government)


fixest::etable(model_outcome_binary_nm_8_2)

```


### Ninth Model

**Additional Controls FEOLS with Coethnic Nachiket (Binary)**

Adding Three Variables and Removing State Strength due to possibility of Multicollinearity and adding individual predictors of state strength

```{r echo=FALSE, message=FALSE, warning=FALSE}
model_outcome_binary_nm_9 <- feols(outcome_binary_nachiket ~
                        coethnic_rebel_pgm_nachiket_binary + polity2 + gdpcapita_imputed_entire + lmilper_imputed_entire + ltroopratio_imputed_entire + rebel_strength_nachiket_scaled + duration_year + ethpol | government,
               data = main_civilwars_ethnic_longitudnal, cluster = ~government)


fixest::etable(model_outcome_binary_nm_9)

```

#### Logit Model

```{r echo=FALSE, message=FALSE, warning=FALSE}
model_outcome_binary_nm_9_1 <- feglm(outcome_binary_nachiket ~
                        coethnic_rebel_pgm_nachiket_binary + polity2 + gdpcapita_imputed_entire + lmilper_imputed_entire + ltroopratio_imputed_entire + rebel_strength_nachiket_scaled + duration_year + ethpol | government,
               data = main_civilwars_ethnic_longitudnal, family = binomial(link = "logit"), cluster = ~government)


fixest::etable(model_outcome_binary_nm_9_1)

```

#### Logit Model

```{r echo=FALSE, message=FALSE, warning=FALSE}
model_outcome_binary_nm_9_1_1 <- feglm(outcome_binary_nachiket ~
                        coethnic_rebel_pgm_nachiket_binary | government,
               data = main_civilwars_ethnic_longitudnal, family = binomial(link = "logit"), cluster = ~government)


fixest::etable(model_outcome_binary_nm_9_1_1)

```


### Tenth Model

**Additional Controls FEOLS with Coethnic Nachiket (Binary)**

Adding Three Variables and Removing State Strength due to possibility of Multi-collinearity and adding individual predictors of state strength

```{r echo=FALSE, message=FALSE, warning=FALSE}
model_outcome_binary_nm_10 <- feols(outcome_binary_nachiket ~
                        coethnic_rebel_pgm_nachiket_binary + polity2 + gdpcapita_imputed_entire + lmilper_imputed_entire + ltroopratio_imputed_entire + rebel_strength_nachiket_scaled + duration_year + ethpol | government,
               data = main_civilwars_ethnic_longitudnal, cluster = ~government)


fixest::etable(model_outcome_binary_nm_10)

```

#### Logit Model

```{r echo=FALSE, message=FALSE, warning=FALSE}
model_outcome_binary_nm_10_1 <- feglm(outcome_binary_nachiket ~
                        coethnic_rebel_pgm_nachiket_binary + polity2 | government,
               data = main_civilwars_ethnic_longitudnal, family = binomial(link = "logit"), cluster = ~government)

fixest::etable(model_outcome_binary_nm_10_1)
# + gdpcapita_imputed_entire + lmilper_imputed_entire + ltroopratio_imputed_entire + rebel_strength_nachiket_scaled + duration_year + ethpol 
```

#### Logit Model 

```{r echo=FALSE, message=FALSE, warning=FALSE}
model_outcome_binary_nm_10_1_1 <- feglm(outcome_binary_nachiket ~
                        coethnic_rebel_pgm_nachiket_binary +  Level_of_Threat,
               data = main_civilwars_ethnic_longitudnal, family = binomial(link = "logit"), cluster = ~government)

fixest::etable(model_outcome_binary_nm_10_1_1)
```

### Eleventh Model

#### Logit binary without government fixed effects

```{r echo=FALSE, message=FALSE, warning=FALSE}
model_outcome_binary_nm_11_1 <- feglm(outcome_binary_nachiket ~
                        coethnic_rebel_pgm_nachiket,
               data = main_civilwars_ethnic_longitudnal,family = binomial(link = "logit"), cluster = ~government)

fixest::etable(model_outcome_binary_nm_11_1)

```

#### Logit binary with government fixed effects

```{r echo=FALSE, message=FALSE, warning=FALSE}
model_outcome_binary_nm_11_2 <- feglm(outcome_binary_nachiket ~
                        coethnic_rebel_pgm_nachiket | government,
               data = main_civilwars_ethnic_longitudnal,family = binomial(link = "logit"), cluster = ~government)

fixest::etable(model_outcome_binary_nm_11_2)

```

#### Logit binary with government AND conflict fixed effects

```{r echo=FALSE, message=FALSE, warning=FALSE}
model_outcome_binary_nm_11_3 <- feglm(outcome_binary_nachiket ~
                        coethnic_rebel_pgm_nachiket | government + ucdp_conflictid,
               data = main_civilwars_ethnic_longitudnal, cluster = ~government)

fixest::etable(model_outcome_binary_nm_11_3)


```



#### Additional Controls FEOLS with Coethnic Nachiket (outcome_binary_nachiket ~ coethnic_rebel_pgm_nachiket + polity2 + gdpcapita_imputed_entire + lmilper_imputed_entire + ltroopratio_imputed_entire + rebel_strength_nachiket_scaled + duration_year + ethpol)  with government FE


```{r echo=FALSE, message=FALSE, warning=FALSE}
model_outcome_binary_nm_11_4 <- feols(outcome_binary_nachiket ~
                        coethnic_rebel_pgm_nachiket + polity2 + gdpcapita_imputed_entire + lmilper_imputed_entire + ltroopratio_imputed_entire + rebel_strength_nachiket_scaled + duration_year + ethpol | government,
               data = main_civilwars_ethnic_longitudnal, cluster = ~government)


fixest::etable(model_outcome_binary_nm_11_4)

```
#### Additional Controls FEOLS with Coethnic Nachiket (outcome_binary_nachiket ~ coethnic_rebel_pgm_nachiket + LoT + polity2 + gdpcapita_imputed_entire + lmilper_imputed_entire + ltroopratio_imputed_entire + rebel_strength_nachiket_scaled + duration_year + ethpol)  WITHOUT government FE


```{r echo=FALSE, message=FALSE, warning=FALSE}
model_outcome_binary_nm_11_4_1 <- feols(outcome_binary_nachiket ~
                        coethnic_rebel_pgm_nachiket + Level_of_Threat + polity2 + gdpcapita_imputed_entire + lmilper_imputed_entire + ltroopratio_imputed_entire + rebel_strength_nachiket_scaled + duration_year + ethpol,
               data = main_civilwars_ethnic_longitudnal, cluster = ~government)


fixest::etable(model_outcome_binary_nm_11_4_1)

```
#### Additional Controls FEOLS with Coethnic Nachiket (outcome_binary_nachiket ~ coethnic_rebel_pgm_nachiket + LoT + polity2 + gdpcapita_imputed_entire + lmilper_imputed_entire + ltroopratio_imputed_entire + rebel_strength_nachiket_scaled + duration_year + ethpol)  WITH government FE

```{r echo=FALSE, message=FALSE, warning=FALSE}
model_outcome_binary_nm_11_4_2 <- feols(outcome_binary_nachiket ~
                        coethnic_rebel_pgm_nachiket + Level_of_Threat + polity2 + gdpcapita_imputed_entire + lmilper_imputed_entire + ltroopratio_imputed_entire + rebel_strength_nachiket_scaled + duration_year + ethpol | government,
               data = main_civilwars_ethnic_longitudnal, cluster = ~government)


fixest::etable(model_outcome_binary_nm_11_4_2)

```

#### Logit Model (outcome_binary_nachiket ~ coethnic_rebel_pgm_nachiket + polity2)

```{r echo=FALSE, message=FALSE, warning=FALSE}
model_outcome_binary_nm_11_5 <- feglm(outcome_binary_nachiket ~
                        coethnic_rebel_pgm_nachiket,
               data = main_civilwars_ethnic_longitudnal, family = binomial(link = "logit"), cluster = ~government)

fixest::etable(model_outcome_binary_nm_11_5)
```
 
#### Logit Model (outcome_binary_nachiket ~ coethnic_rebel_pgm_nachiket +  Level_of_Threat)

```{r echo=FALSE, message=FALSE, warning=FALSE}
model_outcome_binary_nm_11_6 <- feglm(outcome_binary_nachiket ~
                        coethnic_rebel_pgm_nachiket +  Level_of_Threat,
               data = main_civilwars_ethnic_longitudnal, family = binomial(link = "logit"), cluster = ~government)

fixest::etable(model_outcome_binary_nm_11_6)
```

## Stargazer 2

```{r echo=FALSE, warning=FALSE, message=FALSE}
stargazer_2 <- modelsummary(list(model_outcome_binary_nm_11_1,model_outcome_binary_nm_11_2,model_outcome_binary_nm_11_6, model_outcome_binary_nm_11_4_1,model_outcome_binary_nm_11_4_2,model_outcome_binary_nm_4_1, model_outcome_binary_nm_8), output = "markdown",
  statistic = c("std.error", "p.value"),
  stars = TRUE)

stargazer_2
```

