dc.contributor.author |
Muhammad Aslam |
|
dc.contributor.author |
Jean Bourdon |
|
dc.contributor.author |
Sajjad Haider Bhatti |
|
dc.date.accessioned |
2018-07-18T07:04:33Z |
|
dc.date.available |
2018-07-18T07:04:33Z |
|
dc.date.issued |
2018 |
|
dc.identifier.uri |
http://hdl.handle.net/123456789/15867 |
|
dc.description |
PP.79-96; ill |
en_US |
dc.description.abstract |
This paper estimates the Mincer wage model for Pakistan’s labor market, using a relatively recent dataset and new independent variables. We employ instrumental variables and two-stage least squares to address the problem of the endogeneity of education. Our results show that the returns to education are biased downward due to endogeneity, with significant wage gaps emerging among different regions, between genders and between urban and rural job markets. The study’s choice of instruments has conceptual as well as empirical grounds. Our findings establish that the wage determination process is different for males and females across provincial labor markets. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
© Lahore School of Economics |
en_US |
dc.relation.ispartofseries |
Volume 23;No.1 |
|
dc.subject |
Market Returns to Education in Pakistan, |
en_US |
dc.subject |
Corrected for Endogeneity Bias |
en_US |
dc.title |
Market Returns to Education in Pakistan, Corrected for Endogeneity Bias |
en_US |
dc.type |
Article |
en_US |