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Special Edition-07.pdf - Lahore School of Economics

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210<br />

Mehak Ejaz<br />

Data Source<br />

The study is based on cross-sectional data from the Pakistan<br />

Social and Living Standards Measurement (PSLM) Survey - HIES (2004-<br />

05), concentrating on the sample <strong>of</strong> women aged 15-49. The total<br />

number <strong>of</strong> households were 73,429 76 <strong>of</strong> which 115,077 observations<br />

pertain to females aged 15-49. These observations are used in the<br />

empirical analysis.<br />

Given that the logistic postulates:<br />

1<br />

Prob [female in work force] =<br />

1 + e −<br />

z<br />

Z =<br />

β + β Χ + β Χ + ...........<br />

+ β<br />

0<br />

1<br />

1<br />

2<br />

2<br />

k Χk<br />

Each β<br />

i<br />

is shown to be:<br />

∂ log( oddsratio)<br />

∂χ<br />

i<br />

77<br />

= - βi<br />

78<br />

For continuous variables, it is possible to compute the change in probability<br />

when the variable, Χ j<br />

is increased by one unit. This change can be<br />

calculated using:<br />

∂P<br />

∂X<br />

j<br />

=<br />

B<br />

j<br />

e<br />

−z<br />

−z<br />

[ 1 + e ] 2<br />

76 Usman Sikander (Research Officer, <strong>Lahore</strong> <strong>School</strong> <strong>of</strong> <strong>Economics</strong>) helped in processing<br />

the micro level data<br />

77 Odds ratio =P [female in work force]/ P [female not in work force] =<br />

78<br />

β provides a measure <strong>of</strong> change in the logarithm <strong>of</strong> the odds ratio <strong>of</strong> the chance <strong>of</strong> the<br />

i<br />

female working to not working.<br />

e − z

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