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Table 2 Description of key variables

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

Description of key variables

 

Wu

w u it = average wage index in top three units i , t CPI index i , t

where, average wage index in top three units i,t =

average wage in top three units i , t average wage in top three units i , t = 0

and, CPI index i , t = CPI i , t CPI i , t = 0

wu i ¯ = t = 0 9 wu i , t ()

i = 1…18,t = 0…9

wr

w r i , t = average gross rural income index i , t CPI index i , t

where, average gross rural income i,t =

gross rural primary industry output i , t rural primary industry labor force

and, average gross rural income index i,t =

average gross rural income i , t average gross rural income i , t = 0

and, CPI index i , t = CPI i , t CPI i , t = 0

wr i ¯ = t = 0 9 wr i , t ()

i = 1…18,t = 0…9

UH rate

urban hukou rate i , t = urban hukou population i , t city population i , t

urban hukou rate i ¯ = t = 0 9 urban hukou rate i , t ()

i = 1…18,t = 0…9

Lmar-rate

Late marriage rate i,t is the ratio of the number of

females who were at least 23 years old at

marriage to the total number of first marriages.

K/P

(K/P) i , t = capital stock i , t city population i , t ;

capital stock i,t =K i,t =(1−δ)K i,t−1+F D I i,t ,

where δ is depreciation rate.

δ= original K i , t = 1992 net K i , t = 2 original K i , t = 2

i = 1…18,t = 0…9

SFP

number of single female i,t =

number of female i,t −number of married and child

bearing age i,t .

where, child bearing age is between 20–49 years old

i = 1…18,t = 0…9