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Table 9 Different historical events and current corruption behaviour in the public health system, ordered probit regressions, robustness checks (from 75 in 75 km of the former imperial border)

From: Historical origins of corruption in the Romanian public health system - path dependency and contagion effect

 

(1)

(2)

(3)

(4)

Individual-level controls

Yes

Yes

Yes

Yes

Geographic controls

Yes

Yes

Yes

Yes

Macroeconomic controls

Yes

Yes

Yes

Yes

County-fixed effects

Yes

Yes

Yes

Yes

Former_Habsburg_Empire_In

0.4402**

0.6242***

-0.9249***

-0.8869*

 

(0.1910)

(0.2268)

(0.3315)

(0.4724)

Father_member_PCR

0.1353

 

0.1143

 
 

(0.1842)

 

(0.1798)

 

Mother_member_PCR

0.0772

 

-0.0763

 
 

(0.2397)

 

(0.2309)

 

Other_family_members_PCR

0.3035

 

0.1899

 
 

(0.1965)

 

(0.1904)

 

Family_moved_WWII

 

0.1159

 

0.2039

  

(0.2078)

 

(0.2124)

N

544

477

586

508

chi2

132.71

118.58

172.13

667.52

p

0.0000

0.0000

0.0000

0.0000

Pseudo R2

0.0786

0.0853

0.0922

0.0954

AIC

1538.90

1333.08

1710.46

1487.29

BIC

1659.27

1441.44

1841.66

1601.52

AUROC (after probit)

0.8136

0.8062

0.8010

0.8024

Goodness of fit (after probit)

0.0511

0.1252

0.1228

0.0328

  1. Source: Author’s calculation in Stata 17
  2. Notes. Standard errors are in parentheses. **** p < 0.001, *** p < 0.01, ** p < 0.05, * p < 0.1. Coefficient estimates are raw coefficients from ordered probit (oprobit) estimations
  3. The individual-level controls are employment status, household wealth index and level of education. The geographic controls are latitude and longitude. The macroeconomic controls are GDP per capita and unemployment rate in 2015. All regressions include county fixed effects