**Table 11:** Broad Predictors of Labour Force Participation and Non-Farm Employment

||(1)|(2)|(3)|(4)|(5)|(6)|(7)|(8)|(9)|
|---|---|---|---|---|---|---|---|---|---|
||P|r(LFP = 1|)|Pr(U|nemployed|= 1)|Pr(|Non-Farm|= 1)|
|Female|-.509<sup>_∗∗∗_</sup>|-.512<sup>_∗∗∗_</sup>|-.506<sup>_∗∗∗_</sup>|.007<sup>_∗∗∗_</sup>|.010<sup>_∗∗∗_</sup>|.009<sup>_∗∗∗_</sup>|-.169<sup>_∗∗∗_</sup>|-.078<sup>_∗∗∗_</sup>|-.068<sup>_∗∗∗_</sup>|
||(.008)|(.008)|(.008)|(.003)|(.003)|(.003)|(.018)|(.011)|(.011)|
|SC/ST|.045<sup>_∗∗∗_</sup>|.044<sup>_∗∗∗_</sup>|.029<sup>_∗∗∗_</sup>|-.005<sup>_∗∗∗_</sup>|-.004<sup>_∗∗∗_</sup>|-.004<sup>_∗∗∗_</sup>|.061<sup>_∗∗∗_</sup>|.075<sup>_∗∗∗_</sup>|.047<sup>_∗∗∗_</sup>|
||(.006)|(.004)|(.004)|(.001)|(.001)|(.001)|(.017)|(.012)|(.010)|
|Muslim|-.014<sup>_∗∗_</sup>|.008|.000|-.001|-.001|.001|.223<sup>_∗∗∗_</sup>|.137<sup>_∗∗∗_</sup>|.097<sup>_∗∗∗_</sup>|
||(.006)|(.005)|(.007)|(.001)|(.001)|(.002)|(.028)|(.018)|(.017)|
|Age|.039<sup>_∗∗∗_</sup>|.039<sup>_∗∗∗_</sup>|.039<sup>_∗∗∗_</sup>|-.003<sup>_∗∗∗_</sup>|-.003<sup>_∗∗∗_</sup>|-.003<sup>_∗∗∗_</sup>|-.008<sup>_∗∗∗_</sup>|-.009<sup>_∗∗∗_</sup>|-.008<sup>_∗∗∗_</sup>|
||(.001)|(.001)|(.001)|(.000)|(.000)|(.000)|(.002)|(.001)|(.001)|
|Age Sq.|-.000<sup>_∗∗∗_</sup>|-.000<sup>_∗∗∗_</sup>|-.000<sup>_∗∗∗_</sup>|.000<sup>_∗∗∗_</sup>|.000<sup>_∗∗∗_</sup>|.000<sup>_∗∗∗_</sup>|.000|.000|.000|
||(.000)|(.000)|(.000)|(.000)|(.000)|(.000)|(.000)|(.000)|(.000)|
|Literate|-.002|.006|.021<sup>_∗∗∗_</sup>|.004<sup>_∗∗∗_</sup>|.003<sup>_∗∗_</sup>|.002<sup>_∗_</sup>|-.001|-.002|.004|
||(.006)|(.005)|(.004)|(.001)|(.001)|(.001)|(.013)|(.007)|(.005)|
|Educated|-.053<sup>_∗∗∗_</sup>|-.052<sup>_∗∗∗_</sup>|-.048<sup>_∗∗∗_</sup>|-.007<sup>_∗∗∗_</sup>|-.007<sup>_∗∗∗_</sup>|-.008<sup>_∗∗∗_</sup>|.073<sup>_∗∗∗_</sup>|.047<sup>_∗∗∗_</sup>|.058<sup>_∗∗∗_</sup>|
||(.004)|(.004)|(.004)|(.001)|(.001)|(.001)|(.008)|(.007)|(.006)|
|On Medication|-.080<sup>_∗∗∗_</sup>|-.075<sup>_∗∗∗_</sup>|-.076<sup>_∗∗∗_</sup>|.008|.010|.011|-.025|.006|-.002|
||(.014)|(.014)|(.014)|(.008)|(.008)|(.009)|(.025)|(.024)|(.023)|
|Bank Account|.116<sup>_∗∗∗_</sup>|.105<sup>_∗∗∗_</sup>|.112<sup>_∗∗∗_</sup>|-.026<sup>_∗∗∗_</sup>|-.026<sup>_∗∗∗_</sup>|-.029<sup>_∗∗∗_</sup>|-.042<sup>_∗∗∗_</sup>|-.017<sup>_∗_</sup>|-.017<sup>_∗∗_</sup>|
||(.009)|(.008)|(.008)|(.003)|(.003)|(.004)|(.016)|(.010)|(.008)|
|Cell Phone|.194<sup>_∗∗∗_</sup>|.193<sup>_∗∗∗_</sup>|.193<sup>_∗∗∗_</sup>|-.018<sup>_∗∗∗_</sup>|-.020<sup>_∗∗∗_</sup>|-.021<sup>_∗∗∗_</sup>|.053<sup>_∗∗∗_</sup>|.017<sup>_∗∗_</sup>|.009|
||(.008)|(.007)|(.007)|(.003)|(.003)|(.003)|(.012)|(.008)|(.006)|
|Observations|387972|387972|387972|167419|167419|167419|167419|167419|167419|
|R<sup>2</sup>|.54|.55|.57|.03|.05|.08|.09|.29|.43|
|Dep Var Mean|.43|.43|.43|.01|.01|.01|.47|.47|.47|
|District FE|No|Yes|No|No|Yes|No|No|Yes|No|
|Town FE|No|No|Yes|No|No|Yes|No|No|Yes|

This table presents the impact of individual characteristics on individuals’ broad employment choices using Consumer Pyramids data from 2015. The unit of observation is the individual. The sample is restricted to rural individuals aged between 15 and 65. In columns (4)-(9), the sample is restricted to rural individuals aged between 15 and 65 and participating in the labour force. Educated refers to individuals who have completed secondary or higher education. Standard errors in parentheses, clustered by district.

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