| By: |
Kuhn, Peter J. (University of California, Santa Barbara);
Shen, Kailing (Xiamen University) |
| Abstract: |
We study firms' advertised gender preferences in a population of ads on a
Chinese internet job board, and interpret these patterns using a simple
employer search model. The model allows us to distinguish firms’ underlying
gender preferences from firms’ propensities to restrict their search to their
preferred gender. The model also predicts that higher job skill requirements
should reduce the tendency to gender-target a job ad; this is strongly
confirmed in our data. We also find that firms' underlying gender preferences
are highly job-specific, with many firms requesting men for some jobs and
women for others, and with one third of the variation in gender preferences
within firm*occupation cells. |
| Keywords: |
discrimination, gender, China, internet, search |
| JEL: |
J71 |
| Date: |
2010–09 |
| URL: |
http://d.repec.org/n?u=RePEc:iza:izadps:dp5195&r=cna |