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. 2022 Sep 15;38(5):1119–1143. doi: 10.1007/s10680-022-09642-3

Table 3.

Gravity models on migration

Model 1 2 3 4
Log local social capitali

0.124

(0.0992)

 − 0.143

(0.0984)
Log bridging social capitalij

0.667***

(0.0262)

0.666***

(0.0259)
Log bonding social capitali

 − 0.225**

(0.0894)

 − 0.0918

(0.0875)
Log populationi

0.754***

(0.0958)

0.704***

(0.0506)

0.851***

(0.112)

0.705***

(0.0623)
Log populationj

0.759***

(0.148)

0.700***

(0.0906)

0.755***

(0.147)

0.698***

(0.0890)
Log iWiWi

 − 0.390**

(0.154)

 − 0.743***

(0.0488)

 − 0.205**

(0.0912)

 − 0.522***

(0.0155)
Log iWiWj

 − 0.169

(− 0.116)

 − 0.662***

(0.0692)

 − 0.167

(0.115)

 − 0.660***

(0.0677)
Log distanceij  − 1.050*** (0.0376)

 − 0.147***

(0.0369)

 − 1.051***

(0.0375)

 − 0.146***

(0.0371)
R2 0.682 0.761 0.683 0.761
N (subregion pairs) 18,943 18,943 18,943 18,943

Coefficients, clustered standard errors in parentheses. Dependent variable: log migrationij,t+1

Additional controls: population rate by urbanization, share of selected demographic groups (gender × age categories), subregion characteristics, and same county dummy. Full regression table is displayed in Appendix 2

***p < 0.01, **p < 0.05, *p < 0.1