Table 3 Multinomial logit model with random effects, coefficients
From: Low-wage employment versus unemployment: Which one provides better prospects for women?
High-pay, | High-pay, | Low-pay, | Low-pay, | Unemployment, t | |
|---|---|---|---|---|---|
≥ 30 hours, t | < 30 hours, t | ≥ 30 hours, t | < 30 hours, t | ||
High-pay, ≥ 30 hours, | 11.222*** | 6.123*** | 5.532*** | 0.750* | 3.024*** |
t-1 (dummy) | (0.792) | (0.666) | (0.561) | (0.413) | (0.622) |
High-pay, < 30 hours, | 8.926*** | 8.072*** | 4.607*** | 3.825*** | 3.246*** |
t-1 (dummy) | (0.729) | (0.662) | (0.558) | (0.248) | (0.605) |
Low-pay, ≥ 30 hours, | 9.353*** | 5.512*** | 6.393*** | 3.045*** | 3.118*** |
t-1 (dummy) | (0.781) | (0.685) | (0.570) | (0.334) | (0.632) |
Low-pay, < 30 hours, | 5.397*** | 5.421*** | 4.366*** | 4.476*** | 2.768*** |
t-1 (dummy) | (0.609) | (0.558) | (0.523) | (0.235) | (0.473) |
Unemployment, | 4.900*** | 3.714*** | 3.090*** | 2.171*** | 3.561*** |
t-1 (dummy) | (0.595) | (0.528) | (0.556) | (0.256) | (0.541) |
Inactivity, t-1 | — | — | — | — | — |
(reference) | |||||
No Apprenticeship | — | — | — | — | — |
(reference) | |||||
Apprenticeship (dummy) | 0.911*** | 0.873*** | 0.186 | 0.450*** | 0.521*** |
(0.175) | (0.157) | (0.172) | (0.138) | (0.187) | |
University (dummy) | 1.508*** | 0.858*** | -0.393 | -0.215 | -0.068 |
(0.232) | (0.216) | (0.276) | (0.216) | (0.303) | |
Age | 0.132 | 0.304* | -0.036 | 0.042 | 0.497** |
(0.162) | (0.155) | (0.172) | (0.151) | (0.214) | |
Age squared | -0.296 | -0.395** | -0.077 | -0.128 | -0.578** |
(0.186) | (0.177) | (0.198) | (0.173) | (0.243) | |
Immigrant (dummy) | 0.044 | -0.357** | 0.267 | 0.050 | 0.051 |
(0.171) | (0.163) | (0.176) | (0.146) | (0.194) | |
Handicap (dummy) | -2.318*** | -1.892*** | -2.409*** | -1.579*** | -0.808 |
(0.498) | (0.441) | (0.523) | (0.430) | (0.545) | |
No Partner (dummy) | 0.495 | 0.103 | 0.301 | -0.388 | 0.874* |
(0.401) | (0.389) | (0.433) | (0.381) | (0.470) | |
Wage of the partner | -0.003 | 0.051 | -0.050 | 0.041 | 0.011 |
(0.047) | (0.044) | (0.063) | (0.046) | (0.076) | |
Number of children (age: 0-3) | -4.667*** | -3.153*** | -3.660*** | -2.901*** | -3.788*** |
(0.304) | (0.271) | (0.385) | (0.286) | (0.429) | |
Number of children (age: 4-6) | -0.558* | 0.189 | -0.238 | -0.077 | 0.190 |
(0.296) | (0.244) | (0.363) | (0.224) | (0.325) | |
Number of children (age: 7-10) | -0.877*** | -0.270 | -0.274 | -0.310 | -0.356 |
(0.259) | (0.219) | (0.291) | (0.202) | (0.295) | |
Number of children (age: 11-17) | -0.119 | 0.252 | 0.372* | 0.174 | 0.206 |
(0.205) | (0.183) | (0.223) | (0.169) | (0.239) | |
Local unemployment rate | 0.055 | 0.112 | 0.105 | 0.110 | 0.043 |
(0.103) | (0.096) | (0.118) | (0.095) | (0.124) | |
Initial state: high-pay, | 3.022*** | 1.693*** | 1.900*** | 0.199 | 1.382*** |
≥ 30 hours (dummy) | (0.293) | (0.233) | (0.318) | (0.216) | (0.279) |
Initial state: high-pay, | 2.120*** | 2.290*** | 2.158*** | 1.100*** | 1.295*** |
< 30 hours (dummy) | (0.281) | (0.216) | (0.309) | (0.183) | (0.268) |
Initial state: low-pay, | 2.260*** | 1.722*** | 3.043*** | 0.944*** | 1.960*** |
≥ 30 hours (dummy) | (0.342) | (0.296) | (0.346) | (0.264) | (0.335) |
Initial state: low-pay, | 0.622* | 1.325*** | 1.472*** | 1.336*** | 0.971*** |
< 30 hours (dummy) | (0.326) | (0.230) | (0.314) | (0.175) | (0.269) |
Initial state: unemployment | 1.410*** | 1.221*** | 1.554*** | 0.720** | 1.886*** |
(dummy) | (0.485) | (0.369) | (0.447) | (0.293) | (0.332) |
Initial state: | — | — | — | — | — |
Inactivity (reference) | |||||
Individual averages (): | |||||
Age | 0.157 | 0.089 | 0.275 | 0.209 | 0.050 |
(0.181) | (0.173) | (0.195) | (0.168) | (0.231) | |
Age squared | -0.101 | -0.086 | -0.294 | -0.216 | -0.096 |
(0.213) | (0.202) | (0.230) | (0.197) | (0.268) | |
Handicap (dummy) | 0.950 | 0.505 | 1.827*** | 0.307 | 0.102 |
(0.603) | (0.553) | (0.617) | (0.530) | (0.678) | |
No partner | 0.572 | 0.248 | 0.417 | 0.263 | 0.139 |
(0.455) | (0.445) | (0.490) | (0.436) | (0.540) | |
Income of the partner | -0.086 | -0.034 | -0.055 | -0.055 | -0.150* |
(0.054) | (0.051) | (0.072) | (0.055) | (0.089) | |
Number of children | -0.691* | -0.299 | -1.354** | 0.080 | -0.510 |
(age: 0-3) | (0.402) | (0.363) | (0.536) | (0.350) | (0.537) |
Number of children | 1.268** | 0.726* | -0.130 | 0.238 | 0.373 |
(age: 4-6) | (0.518) | (0.433) | (0.675) | (0.392) | (0.583) |
Number of children | -0.185 | -0.214 | -0.353 | 0.051 | 0.052 |
(age: 7-10) | (0.398) | (0.333) | (0.441) | (0.296) | (0.428) |
Number of children | 0.074 | -0.254 | -0.427 | -0.259 | -0.338 |
(age: 11-17) | (0.240) | (0.216) | (0.264) | (0.200) | (0.278) |
Local unemployment | -0.062 | -0.110 | -0.084 | -0.111 | -0.027 |
rate | (0.106) | (0.099) | (0.122) | (0.098) | (0.129) |
Constant | 2.021*** | 3.922*** | 1.520** | 3.753*** | 3.967*** |
(0.710) | (0.657) | (0.772) | (0.641) | (0.713) | |
Mass point 1 | — | — | — | — | — |
(reference) | |||||
Mass point 2 | -12.993*** | -11.169*** | -8.296*** | -7.177*** | -9.680*** |
(0.879) | (0.816) | (0.957) | (0.670) | (1.02) | |
Probability of | 0.422 | ||||
mass point 1 | |||||
Observations | 15057 | ||||
Log Likelihood | -1.1e+04 | ||||
Wald-Test-Chi 2 | 791.76 | ||||
Prob > Chi 2 | 0.00 |