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 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...

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’...

Unlike the global trend, India has witnessed a secular decline in women's employment rates over the past few decades. We use parametric and semi-parametric decomposition techniques to show that changes in individual and household attributes fully account for the fall in women's labor force...