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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