# **Annex Table 6:  Coefficients of multinomial regression models predicting the probability of allocation to various employment types for URBAN MEN (age 15-59 excluding students)**

**Model 1:  Base Model Model 2:  Base model+Interaction Terms**

||**Non-**<br>**Farm**<br>**Self-Emp**<br>**v/s**<br>**Regular**<br>**Salaried**|**Self-emp**<br>**Farmers**<br>**v/s**<br>**Regular**<br>**Salaried**|**Casual**<br>**v/s**<br>**Regular**<br>**Salaried**|**Not in LF**<br>**v/s**<br>**Regular**<br>**Salaried**|**Non-Farm**<br>**Self-Emp**<br>**v/s**<br>**Regular**<br>**Salaried**|**Self-emp**<br>**Farmers**<br>**v/s**<br>**Regular**<br>**Salaried**|**Casual**<br>**v/s**<br>**Regular**<br>**Salaried**|**Not in LF**<br>**v/s**<br>**Regular**<br>**Salaried**|
|---|---|---|---|---|---|---|---|---|
|Age|0.068***|_-0.110***_|-0.056***|_-0.260***_|0.068***|_-0.105***_|-0.054***|_-0.259***_|
||(0.008)|_(0.020)_|(0.010)|_(0.011)_|(0.008)|_(0.020)_|(0.010)|_(0.011)_|
|Age Squared|-0.001***|_0.002***_|0.000|_0.004***_|-0.001***|_0.002***_|0.000|_0.004***_|
||(0.000)|_(0.000)_|(0.000)|_(0.000)_|(0.000)|_(0.000)_|(0.000)|_(0.000)_|
|married|0.140***|_0.406***_|0.197***|_-1.184***_|0.142***|_0.396***_|0.196***|_-1.183***_|
||(0.034)|_(0.102)_|(0.048)|_(0.058)_|(0.034)|_(0.102)_|(0.048)|_(0.058)_|
|HH size|0.122***|_0.191***_|0.073***|_0.065***_|0.122***|_0.192***_|0.072***|_0.065***_|
||(0.005)|_(0.010)_|(0.007)|_(0.008)_|(0.005)|_(0.010)_|(0.007)|_(0.008)_|
|below_prim|-0.269***|_-0.719***_|-0.635***|_-0.699***_|-0.265***|_-0.772***_|-0.639***|_-0.716***_|
||(0.051)|_(0.114)_|(0.056)|_(0.087)_|(0.051)|_(0.114)_|(0.056)|_(0.087)_|
|prim_comp|-0.467***|_-0.972***_|-1.092***|_-1.202***_|-0.441***|_-1.066***_|-1.037***|_-1.310***_|
||(0.045)|_(0.100)_|(0.050)|_(0.078)_|(0.058)|_(0.119)_|(0.065)|_(0.105)_|
|postpri|-0.851***|_-1.640***_|-2.297***|_-0.922***_|-0.798***|_-2.008***_|-2.451***|_-1.090***_|
||(0.038)|_(0.079)_|(0.044)|_(0.060)_|(0.047)|_(0.092)_|(0.055)|_(0.076)_|
|hhhead|-0.340***|_0.080_|-0.100*|_-1.565***_|-0.340***|_0.072_|-0.106*|_-1.567***_|
||(0.032)|_(0.093)_|(0.047)|_(0.066)_|(0.032)|_(0.093)_|(0.047)|_(0.066)_|
|Land<br>possessed|0.203***|_0.569***_|-0.231***|_0.089*_|0.203***|_0.571***_|-0.232***|_0.086*_|
||(0.020)|_(0.023)_|(0.050)|_(0.034)_|(0.020)|_(0.023)_|(0.051)|_(0.035)_|
|north|-0.328***|_-0.843***_|-0.746***|_-0.197**_|-0.328***|_-0.856***_|-0.736***|_-0.200***_|
||(0.033)|_(0.084)_|(0.054)|_(0.061)_|(0.033)|_(0.084)_|(0.054)|_(0.061)_|
|south|-0.174***|_-1.203***_|0.595***|_-0.036_|-0.171***|_-1.272***_|0.580***|_-0.046_|
||(0.030)|_(0.088)_|(0.042)|_(0.054)_|(0.030)|_(0.089)_|(0.042)|_(0.054)_|
|east|0.015|_-0.726***_|0.449***|_0.380***_|0.019|_-0.728***_|0.444***|_0.373***_|
||(0.039)|_(0.111)_|(0.054)|_(0.064)_|(0.039)|_(0.111)_|(0.054)|_(0.064)_|
|west|-0.401***|_-1.201***_|0.019|_-0.165**_|-0.400***|_-1.212***_|0.001|_-0.173**_|
||(0.030)|_(0.086)_|(0.045)|_(0.055)_|(0.031)|_(0.086)_|(0.045)|_(0.055)_|
|NE|-0.147|_0.220_|-0.190|_0.415**_|-0.132|_0.107_|-0.174|_0.391**_|
||(0.086)|_(0.165)_|(0.143)|_(0.141)_|(0.086)|_(0.169)_|(0.143)|_(0.142)_|
|muslim|0.401***|_-0.388***_|0.193***|_0.159**_|0.356***|_-1.041***_|0.002|_-0.138_|
||(0.031)|_(0.088)_|(0.044)|_(0.055)_|(0.063)|_(0.143)_|(0.072)|_(0.105)_|
|otherel|0.234***|_-0.190_|0.365***|_0.429***_|0.239***|_-0.206_|0.372***|_0.431***_|
||(0.043)|_(0.139)_|(0.063)|_(0.069)_|(0.043)|_(0.140)_|(0.063)|_(0.069)_|
|sc|-0.412***|_-0.653***_|0.503***|_0.212***_|-0.219***|_-0.905***_|0.391***|_0.014_|
||(0.031)|_(0.096)_|(0.037)|_(0.049)_|(0.064)|_(0.145)_|(0.066)|_(0.103)_|
|st|<br>-0.626***|<br>_0.646***_|<br>0.398***|<br>_-0.214_|<br>-0.451**|<br>_-0.318_|<br>0.483***|<br>_-0.675*_|
||(0.071)|_(0.118)_|(0.079)|_(0.114)_|(0.142)|_(0.262)_|(0.131)|_(0.264)_|
|SCprim_comp|||||-0.220*|_-0.423_|-0.220*|_0.137_|
||||||(0.098)|_(0.305)_|(0.104)|_(0.167)_|
|SCpostpri|||||-0.301***|_0.627**_|0.406***|_0.269*_|
||||||(0.077)|_(0.204)_|(0.085)|_(0.119)_|
|STprim_comp|||||0.432|_0.422_|-0.149|_0.480_|

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