1 Regressions

I run a series of regressions based on a forward stepwise-selection model which selects which variable to add at each step based on which potential newly added variable has the smallest p-value. I add in the few variables which are not statistically significant all at once.

## 
##                                     Stepwise Selection Summary                                      
## ---------------------------------------------------------------------------------------------------
##                                    Added/                   Adj.                                       
## Step           Variable           Removed     R-Square    R-Square     C(p)        AIC        RMSE     
## ---------------------------------------------------------------------------------------------------
##    1         `Pre-CovCov`         addition       0.505       0.499    52.0620     -8.9381    0.2239    
##    2    `Digital registration`    addition       0.644       0.635    17.2740    -34.2834    0.1910    
##    3         `EAP dummy`          addition       0.675       0.663    11.0240    -39.8843    0.1836    
##    4          log_deaths          addition       0.711       0.696     3.5080    -47.6148    0.1743    
## ---------------------------------------------------------------------------------------------------
Dependent variable:
Coverage
(1) (2) (3) (4) (5)
Pre-CovCov 1.147*** 0.849*** 0.731*** 0.673*** 0.637***
(0.126) (0.120) (0.123) (0.118) (0.127)
rGDPg2020 -0.005
(0.004)
digIDcov 0.069
(0.070)
Digital registration 0.262*** 0.267*** 0.204*** 0.195***
(0.047) (0.045) (0.047) (0.053)
FSI 0.006
(0.015)
EAP dummy 0.164*** 0.279*** 0.277***
(0.060) (0.068) (0.073)
log_deaths 0.040*** 0.035**
(0.013) (0.014)
Constant 0.131*** 0.055* 0.046 -0.070 -0.144
(0.032) (0.030) (0.029) (0.047) (0.155)
Observations 83 83 83 83 82
R2 0.505 0.644 0.675 0.711 0.717
Adjusted R2 0.499 0.635 0.663 0.696 0.690
Residual Std. Error 0.224 (df = 81) 0.191 (df = 80) 0.184 (df = 79) 0.174 (df = 78) 0.176 (df = 74)
F Statistic 82.746*** (df = 1; 81) 72.416*** (df = 2; 80) 54.771*** (df = 3; 79) 48.029*** (df = 4; 78) 26.751*** (df = 7; 74)
Note: p<0.1; p<0.05; p<0.01

The following regressions include only one of the variables digital ID coverage, digital ID registration, and FSI each.

Dependent variable:
Coverage
(1) (2) (3) (4)
Pre-CovCov 0.739*** 0.735*** 0.735*** 0.637***
(0.128) (0.136) (0.136) (0.127)
rGDPg2020 -0.004 -0.004 -0.004 -0.005
(0.004) (0.004) (0.004) (0.004)
digIDcov 0.139** 0.069
(0.065) (0.070)
Digital registration 0.195***
(0.053)
FSI -0.019 -0.019 0.006
(0.014) (0.014) (0.015)
EAP dummy 0.318*** 0.287*** 0.287*** 0.277***
(0.072) (0.079) (0.079) (0.073)
log_deaths 0.052*** 0.052*** 0.052*** 0.035**
(0.013) (0.014) (0.014) (0.014)
Constant -0.141** 0.086 0.086 -0.144
(0.057) (0.138) (0.138) (0.155)
Observations 83 82 82 82
R2 0.667 0.653 0.653 0.717
Adjusted R2 0.646 0.630 0.630 0.690
Residual Std. Error 0.188 (df = 77) 0.192 (df = 76) 0.192 (df = 76) 0.176 (df = 74)
F Statistic 30.898*** (df = 5; 77) 28.559*** (df = 5; 76) 28.559*** (df = 5; 76) 26.751*** (df = 7; 74)
Note: p<0.1; p<0.05; p<0.01