Document History

Original Publish Date: 18th April, 2021

Updated on: 27 April, 2021

DISE DATA UP

Intially it contained 2,95,721 schools.But after removing those schools whose year of establishment not given correctly and subsetting the year range between 1977 and 2019 we got 226852 schools and merging it with dynasty dataset we got 220932 schools

Main variables

##  [1] "V1"                 "District_Name"      "School_Code"       
##  [4] "AC_YEAR_x"          "School_Name"        "Block_Name"        
##  [7] "Cluster_Name"       "Village_Name"       "Final Address"     
## [10] "latitude"           "longitude"          "geometry"          
## [13] "ac_postdelim"       "pc_postdelim"       "ac_predelim"       
## [16] "pc_predelim"        "Unnamed: 0_y"       "AC_YEAR_y"         
## [19] "Yeur_Estd"          "Pre_Pry_YN"         "Residential_Sch_YN"
## [22] "Sch_Management"     "Lowest_Class"       "School_Type"

types of management

## # A tibble: 11 x 2
##    School_New_Management       count
##    <chr>                       <int>
##  1 DOE                        112948
##  2 Govt/Private Aided           5654
##  3 Local Body                    947
##  4 Madarsa Recogonized         11083
##  5 Madarsa Unrecogonized        3844
##  6 Other                         215
##  7 Other Govt Managed Schools    418
##  8 Others                       8989
##  9 Private Unaided             82049
## 10 Tribal Welfare                586
## 11 Unrecogonized                 119

Year by year break-up of number of Schools

Private Unaided as Private and Madarsa Unrecogonized,Unrecogonized schools as others,and all remaining schools as Government

breakup of election year school established

## # A tibble: 11 x 2
##     year schools_established
##    <int>               <int>
##  1  1977                6533
##  2  1980                8811
##  3  1985                7134
##  4  1989                6315
##  5  1991                6214
##  6  1993               13985
##  7  1996               50582
##  8  2002               52309
##  9  2007               40105
## 10  2012               27829
## 11  2017                1115

REGRESSION FROM 1977-2017

Dependent variable:
n_schools
panel normal glm: quasipoisson
linear link = log
OLS LOGIT POISSON
(1) (2) (3)
dyn_cum_2 -0.201 -0.864 -0.009
(1.372) (1.381) (0.066)
turnout_percentage -0.148** -0.278*** -0.009***
(0.059) (0.047) (0.002)
enop -0.124 -0.294 -0.004
(0.445) (0.413) (0.021)
log(electors) 41.567*** 27.295*** 1.364***
(3.323) (1.380) (0.063)
Constant -301.963*** -13.509***
(16.272) (0.780)
Year fixed effects Yes Yes Yes
Observations 12,239 12,239 12,239
R2 0.017
Adjusted R2 0.016
Log Likelihood -64,352.720
Akaike Inf. Crit. 128,715.400
F Statistic 53.738*** (df = 4; 12224)
Note: p<0.1; p<0.05; p<0.01

REGRESSION FROM 1977-2017(NEW Dynast Variable)

Dependent variable:
n_schools
panel normal glm: quasipoisson
linear link = log
OLS LOGIT POISSON
(1) (2) (3)
dyn_cum_2_new 0.517 -0.268 0.020
(1.527) (1.540) (0.072)
turnout_percentage -0.149** -0.280*** -0.009***
(0.059) (0.047) (0.002)
enop -0.113 -0.288 -0.004
(0.444) (0.413) (0.021)
log(electors) 41.610*** 27.206*** 1.362***
(3.323) (1.379) (0.063)
Constant -300.864*** -13.478***
(16.252) (0.780)
Year fixed effects Yes Yes Yes
Observations 12,239 12,239 12,239
R2 0.017
Adjusted R2 0.016
Log Likelihood -64,352.900
Akaike Inf. Crit. 128,715.800
F Statistic 53.762*** (df = 4; 12224)
Note: p<0.1; p<0.05; p<0.01

REGRESSION FROM 1991-2017

Dependent variable:
n_schools
panel normal glm: quasipoisson
linear link = log
OLS LOGIT POISSON
(1) (2) (3)
dyn_cum_2 0.003 -1.191 -0.037
(1.726) (1.734) (0.075)
turnout_percentage -0.195** -0.445*** -0.016***
(0.091) (0.069) (0.003)
enop -0.160 -0.416 -0.014
(0.674) (0.620) (0.026)
log(electors) 46.714*** 25.295*** 0.911***
(4.391) (2.738) (0.102)
Constant -266.836*** -7.318***
(34.498) (1.311)
Year fixed effects Yes Yes Yes
Observations 8,466 8,466 8,466
R2 0.020
Adjusted R2 0.019
Log Likelihood -45,941.740
Akaike Inf. Crit. 91,893.480
F Statistic 42.984*** (df = 4; 8455)
Note: p<0.1; p<0.05; p<0.01

REGRESSION FROM 1991-2017(NEW DYNAST VARIABLE)

Dependent variable:
n_schools
panel normal glm: quasipoisson
linear link = log
OLS LOGIT POISSON
(1) (2) (3)
dyn_cum_2_new 0.828 -0.448 -0.003
(1.906) (1.919) (0.082)
turnout_percentage -0.196** -0.448*** -0.017***
(0.091) (0.069) (0.003)
enop -0.141 -0.403 -0.014
(0.673) (0.620) (0.026)
log(electors) 46.772*** 25.197*** 0.908***
(4.391) (2.738) (0.102)
Constant -265.633*** -7.288***
(34.497) (1.312)
Year fixed effects Yes Yes Yes
Observations 8,466 8,466 8,466
R2 0.020
Adjusted R2 0.019
Log Likelihood -45,941.950
Akaike Inf. Crit. 91,893.890
F Statistic 43.032*** (df = 4; 8455)
Note: p<0.1; p<0.05; p<0.01

REGRESSION FROM 1991-2017(GOVERNMENT)

Dependent variable:
n_schools
panel normal glm: quasipoisson
linear link = log
OLS LOGIT POISSON
(1) (2) (3)
dyn_cum_2 0.757 0.117 0.021
(2.077) (2.073) (0.096)
turnout_percentage -0.166 -0.399*** -0.016***
(0.108) (0.083) (0.004)
enop 0.736 0.333 0.018
(0.798) (0.735) (0.033)
log(electors) 36.501*** 22.573*** 0.879***
(5.222) (3.360) (0.136)
Constant -240.055*** -7.131***
(42.390) (1.757)
Year fixed effects Yes Yes Yes
Observations 5,678 5,678 5,678
R2 0.013
Adjusted R2 0.012
Log Likelihood -30,682.100
Akaike Inf. Crit. 61,374.200
F Statistic 19.277*** (df = 4; 5667)
Note: p<0.1; p<0.05; p<0.01

REGRESSION FROM 1991-2017(GOVERNMENT)(NEW DYNAST VARIABLE)

Dependent variable:
n_schools
panel normal glm: quasipoisson
linear link = log
OLS LOGIT POISSON
(1) (2) (3)
dyn_cum_2_new 1.797 1.204 0.072
(2.304) (2.305) (0.105)
turnout_percentage -0.168 -0.402*** -0.017***
(0.108) (0.083) (0.004)
enop 0.752 0.345 0.019
(0.796) (0.735) (0.033)
log(electors) 36.583*** 22.471*** 0.876***
(5.222) (3.359) (0.137)
Constant -238.762*** -7.095***
(42.375) (1.759)
Year fixed effects Yes Yes Yes
Observations 5,678 5,678 5,678
R2 0.014
Adjusted R2 0.012
Log Likelihood -30,681.960
Akaike Inf. Crit. 61,373.930
F Statistic 19.397*** (df = 4; 5667)
Note: p<0.1; p<0.05; p<0.01

REGRESSION FROM 1991-2017(PRIVATE)

Dependent variable:
n_schools
panel normal glm: quasipoisson
linear link = log
OLS LOGIT POISSON
(1) (2) (3)
dyn_cum_2 -3.132 -5.468 -0.152
(3.782) (4.023) (0.121)
turnout_percentage -0.572*** -1.039*** -0.023***
(0.205) (0.166) (0.004)
enop -3.328** -2.476* -0.070*
(1.539) (1.474) (0.042)
log(electors) 115.359*** 47.107*** 1.041***
(10.421) (6.113) (0.140)
Constant -486.802*** -7.958***
(76.263) (1.826)
Year fixed effects Yes Yes Yes
Observations 2,084 2,084 2,084
R2 0.083
Adjusted R2 0.079
Log Likelihood -11,618.220
Akaike Inf. Crit. 23,246.440
F Statistic 47.153*** (df = 4; 2073)
Note: p<0.1; p<0.05; p<0.01

REGRESSION FROM 1991-2017(PRIVATE)(NEW DYNAST VARIABLE)

Dependent variable:
n_schools
panel normal glm: quasipoisson
linear link = log
OLS LOGIT POISSON
(1) (2) (3)
dyn_cum_2_new -1.812 -5.062 -0.134
(4.166) (4.438) (0.133)
turnout_percentage -0.577*** -1.044*** -0.023***
(0.205) (0.166) (0.004)
enop -3.281** -2.470* -0.070*
(1.538) (1.475) (0.042)
log(electors) 115.477*** 46.999*** 1.039***
(10.422) (6.115) (0.140)
Constant -485.405*** -7.940***
(76.278) (1.830)
Year fixed effects Yes Yes Yes
Observations 2,084 2,084 2,084
R2 0.083
Adjusted R2 0.079
Log Likelihood -11,618.490
Akaike Inf. Crit. 23,246.980
F Statistic 47.017*** (df = 4; 2073)
Note: p<0.1; p<0.05; p<0.01

REGRESSION ALL SCHOOLS(1977-2019)[PC LEVEL]

Dependent variable:
n_schools
panel normal glm: quasipoisson
linear link = log
OLS LOGIT POISSON
(1) (2) (3)
dyn_cum_2 -5.977 9.840 0.104
(9.012) (9.313) (0.069)
turnout_percentage -0.296 -2.167*** -0.022***
(0.594) (0.535) (0.004)
enop -18.393*** -1.528 0.026
(5.169) (4.721) (0.038)
log(electors) 185.824*** 134.783*** 1.337***
(45.702) (12.051) (0.103)
Constant -1,645.418*** -12.948***
(162.358) (1.404)
Year fixed effects Yes Yes Yes
Observations 2,048 2,048 2,048
R2 0.015
Adjusted R2 0.009
Log Likelihood -13,323.040
Akaike Inf. Crit. 26,656.090
F Statistic 7.835*** (df = 4; 2034)
Note: p<0.1; p<0.05; p<0.01

REGRESSION ALL SCHOOLS(1977-2019)[PC LEVEL DYNAST NEW VARIABLE]

Dependent variable:
n_schools
panel normal glm: quasipoisson
linear link = log
OLS LOGIT POISSON
(1) (2) (3)
dyn_cum_2_new -7.378 5.164 0.057
(9.941) (10.468) (0.077)
turnout_percentage -0.308 -2.157*** -0.022***
(0.594) (0.535) (0.004)
enop -18.462*** -1.778 0.023
(5.169) (4.733) (0.039)
log(electors) 187.366*** 136.639*** 1.351***
(45.487) (12.002) (0.103)
Constant -1,669.633*** -13.125***
(161.540) (1.401)
Year fixed effects Yes Yes Yes
Observations 2,048 2,048 2,048
R2 0.015
Adjusted R2 0.009
Log Likelihood -13,323.480
Akaike Inf. Crit. 26,656.960
F Statistic 7.863*** (df = 4; 2034)
Note: p<0.1; p<0.05; p<0.01

REGRESSION FROM 1991-2019[PC LEVEL]

Dependent variable:
n_schools
panel normal glm: quasipoisson
linear link = log
OLS LOGIT POISSON
(1) (2) (3)
dyn_cum_2 -11.297 0.467 0.003
(12.419) (12.685) (0.082)
turnout_percentage -0.657 -3.372*** -0.022***
(0.967) (0.820) (0.005)
enop -25.738*** -17.592** -0.112**
(7.593) (7.914) (0.051)
log(electors) 224.854*** 45.769 0.305*
(63.516) (28.263) (0.185)
Constant -258.399 2.236
(397.956) (2.603)
Year fixed effects Yes Yes Yes
Observations 1,305 1,305 1,305
R2 0.020
Adjusted R2 0.013
Log Likelihood -8,749.040
Akaike Inf. Crit. 17,508.080
F Statistic 6.568*** (df = 4; 1295)
Note: p<0.1; p<0.05; p<0.01

REGRESSION FROM 1991-2019[PC LEVEL NEW DYNAST VARIABLE]

Dependent variable:
n_schools
panel normal glm: quasipoisson
linear link = log
OLS LOGIT POISSON
(1) (2) (3)
dyn_cum_2_new -11.848 -3.850 -0.026
(13.500) (14.077) (0.091)
turnout_percentage -0.706 -3.375*** -0.022***
(0.967) (0.820) (0.005)
enop -25.677*** -18.010** -0.115**
(7.590) (7.915) (0.051)
log(electors) 228.745*** 46.311 0.308*
(63.163) (28.303) (0.185)
Constant -263.453 2.210
(398.251) (2.603)
Year fixed effects Yes Yes Yes
Observations 1,305 1,305 1,305
R2 0.020
Adjusted R2 0.013
Log Likelihood -8,749.004
Akaike Inf. Crit. 17,508.010
F Statistic 6.554*** (df = 4; 1295)
Note: p<0.1; p<0.05; p<0.01

REGRESSION FROM 1991-2019(Government)[PC LEVEL]

Dependent variable:
n_schools
panel normal glm: quasipoisson
linear link = log
OLS LOGIT POISSON
(1) (2) (3)
dyn_cum_2 -15.927 19.981 0.078
(20.787) (24.616) (0.092)
turnout_percentage -3.108* -9.800*** -0.038***
(1.623) (1.591) (0.006)
enop -33.111*** -16.348 -0.051
(12.802) (15.411) (0.057)
log(electors) 285.924*** 88.698 0.336
(106.802) (54.206) (0.208)
Constant -441.391 2.885
(762.157) (2.926)
Year fixed effects Yes Yes Yes
Observations 475 475 475
R2 0.042
Adjusted R2 0.023
Log Likelihood -3,257.528
Akaike Inf. Crit. 6,525.057
F Statistic 5.071*** (df = 4; 465)
Note: p<0.1; p<0.05; p<0.01

REGRESSION FROM 1991-2019(Government)[PC LEVEL NEW DYNAST VARIABLE]

Dependent variable:
n_schools
panel normal glm: quasipoisson
linear link = log
OLS LOGIT POISSON
(1) (2) (3)
dyn_cum_2_new -11.904 10.536 0.039
(22.566) (27.271) (0.101)
turnout_percentage -3.169* -9.737*** -0.038***
(1.622) (1.590) (0.006)
enop -32.566** -17.414 -0.055
(12.802) (15.424) (0.057)
log(electors) 292.274*** 89.395 0.339
(106.300) (54.298) (0.208)
Constant -447.183 2.850
(763.061) (2.925)
Year fixed effects Yes Yes Yes
Observations 475 475 475
R2 0.041
Adjusted R2 0.023
Log Likelihood -3,257.786
Akaike Inf. Crit. 6,525.571
F Statistic 4.990*** (df = 4; 465)
Note: p<0.1; p<0.05; p<0.01

REGRESSION FROM 1991-2019(Private)[PC LEVEL]

Dependent variable:
n_schools
panel normal glm: quasipoisson
linear link = log
OLS LOGIT POISSON
(1) (2) (3)
dyn_cum_2 -17.009 -17.614 -0.118
(15.093) (16.596) (0.109)
turnout_percentage 0.497 -0.487 -0.003
(1.179) (1.073) (0.007)
enop -40.171*** -33.082*** -0.228***
(9.295) (10.390) (0.069)
log(electors) 403.100*** 76.495** 0.510**
(77.547) (36.544) (0.238)
Constant -775.051 -1.141
(513.828) (3.350)
Year fixed effects Yes Yes Yes
Observations 475 475 475
R2 0.091
Adjusted R2 0.073
Log Likelihood -3,070.252
Akaike Inf. Crit. 6,150.505
F Statistic 11.624*** (df = 4; 465)
Note: p<0.1; p<0.05; p<0.01

REGRESSION FROM 1991-2019(Private)[PC LEVEL NEW DYNAST VARIABLE]

Dependent variable:
n_schools
panel normal glm: quasipoisson
linear link = log
OLS LOGIT POISSON
(1) (2) (3)
dyn_cum_2_new -21.443 -21.782 -0.146
(16.372) (18.370) (0.121)
turnout_percentage 0.427 -0.545 -0.004
(1.177) (1.071) (0.007)
enop -40.445*** -33.313*** -0.229***
(9.288) (10.390) (0.069)
log(electors) 407.828*** 77.577** 0.518**
(77.120) (36.576) (0.239)
Constant -786.830 -1.230
(514.006) (3.356)
Year fixed effects Yes Yes Yes
Observations 475 475 475
R2 0.092
Adjusted R2 0.074
Log Likelihood -3,070.112
Akaike Inf. Crit. 6,150.223
F Statistic 11.746*** (df = 4; 465)
Note: p<0.1; p<0.05; p<0.01