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Infrastructure In The Context Of Regional Development In Russia

Table 2: Results of 2SLS estimation with a lag tool. Second version of the specification (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 -0.00261 -0.00877*** -0.00755 -0.00868**
(0.00592) (0.00318) (0.00662) (0.00344)
Central -0.612 -0.480 -0.227 -0.181
(0.457) (0.432) (0.195) (0.193)
North West -0.625 -0.357 -0.223 0.0273
(0.457) (0.457) (0.189) (0.190)
South -0.0762 -0.343 -0.0406 -0.315
(0.521) (0.522) (0.215) (0.216)
North Caucasus -0.349 -0.882* -0.193 -0.730***
(0.510) (0.515) (0.213) (0.212)
Volga -0.00582 0.118 -0.281 -0.195
(0.407) (0.405) (0.171) (0.170)
Ural 0.834 0.980 0.105 0.208
(0.593) (0.601) (0.243) (0.245)
Digitalization 0.00835*** 0.00153* 0.00933*** 0.00294***
(0.00155) (0.000834) (0.00172) (0.000899)
Chain share in retail trade 0.0173*** 0.00155** 0.0180*** 0.00265***
(0.00120) (0.000646) (0.00130) (0.000691)
Doctors per 10,000 persons -1.183 2.863 4.955 10.44
(11.03) (5.956) (11.96) (6.374)
Medical intern per 10,000 persons 58.79*** -5.416 92.75*** 27.24***
(11.58) (6.251) (12.61) (6.695)
Stadiums per 100,000 persons 0.0541*** 0.0118* 0.0577*** 0.0226***
(0.0121) (0.00653) (0.0135) (0.00704)
Theater visitors per 1,000 persons 0.00115*** 5.16e-05 0.00121*** 0.000193
(0.000248) (0.000134) (0.000265) (0.000143)
Railroads 0.00313** 0.00256** 0.000444 0.000240
(0.00138) (0.00110) (0.000636) (0.000606)
Energy 1.18e-05*** 3.13e-06 1.21e-05*** 5.60e-06**
(4.13e-06) (2.30e-06) (3.72e-06) (2.31e-06)
University students per 10,000 persons -15.80*** -0.198 -16.17*** -0.830
(1.529) (0.826) (1.648) (0.883)
intercept 10.98*** 12.26*** 3.723*** 4.797***
(0.372) (0.307) (0.300) (0.184)
Standard errors in parentheses
*** p$<$0.01, ** p$<$0.05, * p$<$0.1
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