We show that administrative hourly wage data exhibits considerable bunching at round numbers that cannot be explained by rounding of survey respondents. We consider two explanations—worker left-digit bias and employer optimization frictions. We experimentally rule out left-bunching by...

General purpose technologies (GPTs) push out the production possibility frontier and are of strategic importance to managers and policymakers. While theoretical models that explain the characteristics, benefits, and approaches to create and capture value from GPTs have advanced significantly,...

How does collective reputation affect hiring and selection into jobs? Using detailed hiring data from a global online labour market, where the country of residence is the salient group characteristic, we document a mechanism through which collective reputation can perpetuate initial group...

We show that administrative hourly wage data exhibits considerable bunching at round numbers that cannot be explained by rounding of survey respondents. We consider two explanations--worker left-digit bias and employer optimization frictions. We experimentally rule out left-bunching by...