We study the demand for skills by using text analysis methods on job descriptions in a large volume of ads posted on an online Indian job portal. We make use of domain-specific unlabeled data to obtain word vector representations (i.e., word embeddings) and discuss how these can be leveraged for...

We examine employer preferences for hiring men vs women using 160,000 job ads posted on an online job portal in India, linked with more than 6 million applications. We apply machine learning algorithms on text contained in job ads to predict an employer's gender preference. We find that...

We study the demand for skills by using text analysis methods on job descriptions in a large volume of ads posted on an online Indian job portal. We make use of domain-specific unlabeled data to obtain word vector representations (i.e., word embeddings) and discuss how these can be leveraged for...

While gender quotas in politics have been adopted worldwide, evidence on their impact on women’s substantive representation is mixed. To examine this issue, we estimate the relative importance of greater demand expressed by female voters under female leadership vis-à-vis female leaders’...

While gender quotas in politics have been adopted worldwide, evidence on their impact on women’s substantive representation is mixed. To examine this issue, we estimate the relative importance of greater demand expressed by female voters under female leadership vis-à-vis female leaders’...

While it is well-acknowledged that the gendered division of labor within marriage adversely affects women's allocation of time to market work, there is less evidence on how extant social norms can influence women's work choices pre-marriage. We conduct an experiment on an online marriage market...