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Table 3 Multinomial logit results for migrant samplemarginal effects

From: The costs of worker displacement in urban labor markets of China

  Only demographic and ownership controls All controls
  Displaced Quitters# Stayers Displaced Quitters# Stayers
Demographics       
Male 0.0144*** 0.0783*** -0.0928*** 0.0126*** 0.0738*** -0.0864***
  (0.00453) (0.00884) (0.00861) (0.00462) (0.00898) (0.00863)
Married -0.00446 0.0904*** -0.0860*** -0.00155 0.0915*** -0.0899***
  (0.00509) (0.0115) (0.0113) (0.00521) (0.0113) (0.0109)
Age 0.00100*** -0.00510*** 0.00410*** 0.00120*** -0.00398*** 0.00278***
  (0.000246) (0.000574) (0.000569) (0.000252) (0.000568) (0.000558)
Years of education -0.000748 -0.00473*** 0.00548*** -0.000751 -0.00518*** 0.00593***
  (0.000811) (0.00179) (0.00177) (0.000857) (0.00182) (0.00178)
Ownership-type firm last job
SOE -0.00239 -0.0947*** 0.0971*** -0.00241 -0.0749*** 0.0773***
  (0.00564) (0.0127) (0.0129) (0.00569) (0.0129) (0.0129)
Industry       
Construction     -0.0229*** 0.0352** -0.0124
     (0.00386) (0.0144) (0.0143)
Low-level service     -0.0272*** -0.00363 0.0308
     (0.00515) (0.0190) (0.0189)
Wholesale and retail trade     -0.0290*** -0.0450*** 0.0740***
     (0.00378) (0.0160) (0.0160)
Hotel and catering services     0.00114 0.0449*** -0.0460***
     (0.00738) (0.0159) (0.0153)
High-level service     -0.0149** -0.0223 0.0372*
     (0.00729) (0.0210) (0.0208)
Occupation       
Clerk and relevant personnel     0.0819*** 0.0692*** -0.151***
     (0.0214) (0.0200) (0.0135)
Commercial and service personnel     0.0270** 0.0634*** -0.0904***
     (0.0130) (0.0157) (0.0132)
Manufacturing and relevant personnel     0.0723*** 0.0524** -0.125***
     (0.0209) (0.0210) (0.0160)
City       
Shenzhen     -0.00201 0.0132 -0.0112
     (0.00849) (0.0221) (0.0220)
Dongguan     -0.0227*** 0.0162 0.00653
     (0.00702) (0.0221) (0.0221)
Zhengzhou     -0.00587 -0.0116 0.0175
     (0.00889) (0.0215) (0.0215)
Luoyang     0.0252* -0.132*** 0.107***
     (0.0143) (0.0242) (0.0250)
Hefei     -0.0251*** -0.173*** 0.198***
     (0.00653) (0.0200) (0.0205)
Bengbu     -0.0360*** -0.0939*** 0.130***
     (0.00580) (0.0242) (0.0245)
Chongqing     0.000241 -0.0604*** 0.0601***
     (0.00842) (0.0193) (0.0196)
Shanghai     -0.0280*** -0.185*** 0.213***
     (0.00565) (0.0181) (0.0186)
Nanjing     -0.0358*** -0.291*** 0.327***
     (0.00437) (0.0157) (0.0164)
Wuxi     -0.0341*** -0.382*** 0.416***
     (0.00549) (0.0149) (0.0159)
Hangzhou     -0.00813 0.0474** -0.0393**
     (0.00708) (0.0184) (0.0182)
Ningbo     0.0140 0.0891*** -0.103***
     (0.0114) (0.0239) (0.0233)
Wuhan     -0.00610 -0.0663*** 0.0724***
     (0.00743) (0.0186) (0.0188)
Chengdu     -0.0176** -0.00988 0.0275
     (0.00713) (0.0200) (0.0200)
Pseudo R2 0.0113    0.0730   
Observations 4388 4388 4388 4381 4381 4381
  1. Notes: Source: RUMIC data set wave 2009;
  2. # Retirees and early retirees are excluded from the subsample of quitters. Default categories are: private or mixed firm for ownership-type of firm, manufacturing for industry, principals in governments, parties, enterprises and institutions for occupation, and Guangzhou for city.
  3. *Significant at 10%;**significant at 5%;**significant at 1%. Standard errors in parentheses.