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Table 2 Multinomial logistic regression of contact use in job searches by employment environment, individual recourses, and their interactions, CGSS urban section, 2008

From: Institutions and individual strategies: how did job seekers respond to the changing employment environment in urban China?

  Kin contacts vs. no contacts Non-kin contacts vs. no contacts Kin vs. non-kin contacts
Education model Party membership model Family background model Education model Party membership model Family background model Education model Party membership model Family background model
External employment environment
Temporal dimension (ref: 2003)
  2004 −1.791 (1.713) 0.398 (0.442) −1.338 (0.906) −2.022+ (1.207) −0.304 (0.320) −0.491 (0.643) 0.230 (1.816) 0.703 (0.476) −0.846 (0.959)
  2005 −2.360 (1.694) 0.388 (0.433) −1.533+ (0.837) −0.442 (1.160) −0.139 (0.307) −0.122 (0.592) −1.918 (1.770) 0.526 (0.463) −1.411 (0.879)
  2006 −4.179* (1.838) 0.029 (0.436) −2.496* (1.018) 0.458 (1.106) 0.230 (0.286) −0.187 (0.648) −4.636* (1.880) −0.201 (0.456) −2.309* (1.049)
  2007 −1.500 (1.628) 0.038 (0.417) −2.430* (0.954) 0.691 (1.077) −0.226 (0.289) −0.650 (0.615) −2.191 (1.684) 0.265 (0.445) −1.779+ (0.999)
  2008 −1.760 (1.907) −0.170 (0.468) −1.471 (0.996) 1.144 (1.165) −0.257 (0.320) −0.156 (0.676) −2.904 (1.958) 0.087 (0.501) −1.315 (1.043)
Spatial dimension (ref: metropolitan region)
 Coastal region −3.237 (2.388) 0.668 (0.488) −0.428 (1.385) −2.144 (1.442) 0.258 (0.278) −0.650 (0.667) −1.093 (2.449) 0.410 (0.524) 0.222 (1.436)
 Interior region −3.797+ (2.260) 1.714*** (0.459) 0.296 (1.328) −2.770* (1.395) 0.334 (0.276) −1.001 (0.662) −1.028 (2.316) 1.381** (0.497) 1.297 (1.381)
Individual resources
 Education −0.550** (0.209) 0.015 (0.042) 0.018 (0.042) −0.296* (0.122) −0.109*** (0.031) −0.109*** (0.031) −0.254 (0.215) 0.124** (0.045) 0.127** (0.046)
 Party membership −0.305 (0.424) −0.295 (0.416) −0.225 (0.293) −1.058 (1.240) −0.181 (0.293) −0.081 (0.462) −0.114 (0.458)
 Father’s highest education 0.043 (0.035) 0.036 (0.035) −0.349* (0.153) 0.009 (0.024) 0.007 (0.024) −0.131 (0.084) 0.034 (0.038) 0.028 (0.037) −0.217(0.160)
 Father’s party membership 0.046 (0.31163) 0.023 (0.306) −0.038 (0.313) 0.071 (0.23174) 0.025 (0.228) −0.014 (0.231) −0.025 (0.33743) −0.002 (0.333) −0.024 (0.339)
Interplay
 2004 0.188 (0.154) 0.238* (0.116) 0.156 (0.103) −0.065 (0.882) 0.027 (0.077) 0.031 (0.162) 0.210+ (0.122)
 2005 0.249+ (0.147) 0.285** (0.105) 0.015 (0.098) −0.980 (1.091) −0.016 (0.071) 0.234 (0.154) 0.301** (0.111)
 2006 0.371* (0.153) 0.365** (0.119) −0.027 (0.093) −0.566 (1.087) 0.049 (0.075) 0.398* (0.157) 0.316* (0.123)
 2007 0.144 (0.141) 0.333** (0.110) −0.088 (0.092) −0.257 (0.968) 0.050 (0.069) 0.232 (0.148) 0.283* (0.115)
 2008 0.147 (0.159) 0.205+ (0.116) −0.129 (0.099) −0.348 (1.032) −0.014 (0.076) 0.276+ (0.166) 0.219+ (0.122)
 Coastal region 0.294 (0.186) 0.128 (0.136) 0.188+ (0.111) 1.502 (1.197) 0.106 (0.071) 0.106 (0.193) 0.021 (0.143)
 Interior region 0.421* (0.174) 0.159 (0.128) 0.250* (0.106) 1.202 (1.168) 0.160* (0.069) 0.171 (0.181) −0.001 (0.135)
Control variables
 Female 0.106 (0.225) 0.064 (0.223) 0.061 (0.225) −0.202 (0.164) −0.197 (0.163) −0.185 (0.163) 0.308 (0.243) 0.261 (0.241) 0.247 (0.243)
 Age −0.048 (0.081) −0.032 (0.083) −0.049 (0.082) −0.046 (0.047) −0.037 (0.046) −0.038 (0.047) −0.001 (0.084) 0.006 (0.086) −0.011 (0.085)
 Age square 0.000 (0.001) 0.000 (0.001) 0.001 (0.001) 0.001 (0.001) 0.001 (0.001) 0.001 (0.001) −0.000 (0.001) −0.001 (0.001) −0.000 (0.001)
Constant 4.817 (2.960) −2.436 (1.594) 0.720 (2.098) 3.713* (1.813) 1.055 (1.017) 2.285+ (1.269) 1.104 (3.040) −3.492* (1.680) −1.565 (2.193)
Log likelihood −757 −762 −760       
Observations 854 854 854       
  1. Note: 1. Due to the small number of cases, interactions between party membership and the employment environment cannot be estimated correctly between kin contacts and no contacts as well as between kin and non-kin contacts. 2. Standard errors are in parentheses. 2. Father’s highest education was used in the interaction term in the Family Background Model
  2. *** p < 0.001; ** p < 0.01; * p < 0.05 + p < 0.1 (two-tailed tests)