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Table 4 Description of explanatory variables

From: Where is the grass greener? A micro-founded model of migration with application to Guangdong

Description of explanatory variables  
NM Number of net migrants
  If i = 1(x), expected urban wage 1 ( x ) urban hukou j
Ewu-gap −expected urban wage 2(x)urban hukou 1(x)
  If i = 2(x), expected urban wage 2(x)urban hukou 1(x)
  −expected urban wage 1(x)urban hukou 2(x)
  If i = 3(x), -expected urban wage 1(x)urban hukou j(x);
  j = 1…18, i ≠j,1(x) stands for the highest expected urban wage city
  If i = 1(x), city population 1 ( x ) agricultural hukou j
P-gap −city population 2(x)agricultural hukou 1(x)
  If i = 2(x), city population 2(x)agricultural hukou 1(x)
  −city population 1(x)agricultural hukou 2(x)
  If i = 3(x), -city population 1(x)agricultural hukou j(x)
  j = 1…18, i ≠j,1(x) stands for the biggest city population city
  If i = 1(x), capital stock 1 ( x ) j agricultural hukou
  −capital stock 2(x)agricultural hukou 1(x)
K-gap If i = 2(x), capital stock 2(x)agricultural hukou 1(x)
  −capital stock 1(x)agricultural hukou 2(x)
  If i = 3(x), -capital stock 1(x)agricultural hukou j(x)
  j = 1…18, i ≠j,1(x) stands for the largest amount of capital stock city
  If i = 1(x), single female 1 ( x ) single female j
  −single female 2(x)single female 1(x)
SFP-gap If i = 2(x), single female 2(x)single female 1(x)
  −capital stock 1(x)single female 2(x)
  If i = 3(x), -single female 1(x)single female j(x)
  j = 1…18, i ≠j,1(x) stands for the smallest number of single female city
  If i = 1(x), urban hukou 1 ( x ) agricultural hukou j
  −urban hukou 2(x)agricultural hukou 1(x)
UH-gap If i = 2(x), urban hukou 2(x)agricultural hukou 1(x)
  −urban hukou 1(x)agricultural hukou 2(x)
  If i = 3(x), -urban hukou 1(x)agricultural hukou j(x)
  j = 1…18, i ≠j,1(x) stands for the biggest number of urban hukou city