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Infrastructure In The Context Of Regional Development In Russia

Table 1: Results of 2SLS estimation (compiled based on the calculations of the author in the Stata14 package )

Variables log(GRP nom) log(GRP real) log(GRP nom per c) log(GRP real per c)
Reconstruction investment share -0.0723*** -0.0212*** -0.0987*** -0.0275***
(0.0264) (0.00792) (0.0274) (0.00995)
Central -0.137 -0.451 0.223 -0.117
(0.579) (0.500) (0.335) (0.235)
North West -0.588 -0.406 -0.271 -0.0409
(0.567) (0.517) (0.309) (0.231)
South 0.117 -0.333 0.0166 -0.295
(0.635) (0.587) (0.342) (0.259)
North Caucasus -0.523 -1.032* -0.414 -0.783***
(0.597) (0.548) (0.333) (0.243)
Volga 0.468 0.196 0.219 -0.0643
(0.519) (0.456) (0.312) (0.211)
Ural 1.162 1.021 0.592 0.280
(0.725) (0.671) (0.409) (0.296)
Digitalization 0.00288 -0.000454 0.00222 0.000300
(0.00350) (0.00103) (0.00437) (0.00131)
Retail space per 1,000 people sq 0.000421 -3.89e-05 0.000262 -7.53e-05
(0.000441) (0.000134) (0.000468) (0.000166)
Doctors per 10,000 persons -9.293 6.451 43.61 15.26
(35.59) (10.36) (43.67) (13.34)
Medical intern per 10,000 persons 76.39** -0.00821 63.06 35.51**
(37.04) (10.73) (47.18) (13.87)
Stadiums per 100,000 persons 0.0370 0.0107 0.0136 0.0197
(0.0406) (0.0117) (0.0516) (0.0152)
Theater visitors per 1,000 persons 0.000611 -0.000105 0.000669 -0.000212
(0.000988) (0.000315) (0.000892) (0.000376)
Railroads 0.00294 0.00271* 0.000772 0.000406
(0.00187) (0.00144) (0.00106) (0.000760)
Energy in rubles per capita 2.56e-05** 6.31e-06 1.41e-05* 1.07e-05**
(1.12e-05) (4.00e-06) (8.39e-06) (4.32e-06)
University stud per 10000 persons -15.94*** -2.058* -17.74*** -3.544**
(3.661) (1.085) (4.292) (1.377)
intercept 12.92*** 12.66*** 6.510*** 5.418***
(0.986) (0.407) (1.012) (0.375)
Standard errors in parentheses
*** p$<$0.01, ** p$<$0.05, * p$<$0.1
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