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...

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’...

We examine the effect of group size of minorities on their representation in national government under majoritarian (MR) and proportional (PR) electoral systems. We first establish a robust empirical regularity using an ethnicity-country level panel data comprising 438 ethno-country minority...

This paper measures the exposure of industries and occupations to 40 digital technologies that emerged over the past decade and estimates their impact on European employment. Using a novel approach that leverages sentence transformers, we calculate exposure scores based on the semantic...

This paper measures the exposure of industries and occupations to 40 digital technologies that emerged over the past decade and estimates their impact on European employment. Using a novel approach that leverages sentence transformers, we calculate exposure scores based on the semantic...