Documents Liepmann, Hannah 3 results

"This paper investigates how job seekers in Uruguay direct their search based on posted wages and non-wage amenities, using online job board data. It examines occupational differences in application behavior and tests these patterns with a quasi-experimental approach leveraging industry-by-occupation minimum wage variations.
We leverage rich data from a prominent online job board in Uruguay to assess directed search patterns in job applications, focusing on posted wages and advertised non-wage amenities. We find robust evidence of directed search based on posted wages in the cross-section, with stark heterogeneity by occupation: the wage-application correlation is driven by vacancies attached to lower-skill occupations, with applications to vacancies attached to higher-skill occupations showing no responsiveness to posted wages. By applying text analysis to the job ads, we elicit advertised non-wage amenities and find evidence of directed search based on non-wage amenities. Applications to vacancies attached to lower-skill occupations are consistent with lexicographic application preferences: amenities predict applications to these vacancies only when wages are not posted. Finally, we exploit industry-by-occupation minimum wage variation to demonstrate that the observed occupational heterogeneity in directed search patterns is supported by quasi-experimental difference-in-differences estimates of the impact of wages on job applications."

"In recent years, crowdworking has emerged as a small but rapidly growing source of employment and income principally for young(er) people. This paper analyses the determinants of crowdworkers' earnings focussing on why young crowdworkers earn significantly higher hourly wages than their older counterparts. The paper demonstrates that this is due to the higher returns to experience accruing to younger crowd-workers. Educational attainment does not explain this age-based differential, as education is a negligible factor in determining crowdworkers' earnings. The reasons why young women earn around 20% less than their male counterparts despite blind hiring is also analysed. This is explained, in part, by constraints on working time faced by women with children. The analysis also shows that ‘freely chosen' crowd work - as opposed to, young people crowd-working because of a lack of alternative employment opportunities - is conducive to higher levels of job satisfaction. Moreover, young crowdworkers in middle income countries earn less than their counterparts in high income countries but report higher levels of job satisfaction. This is entirely attributable to the lower quality of their options outside of crowdwork."

"This paper finds that big data on vacancies and applications to an online job board can be a promising data source for studying skills dynamics, especially in countries where alternative sources are scarce. To show this, we develop a skills taxonomy, assess the characteristics of such online data, and employ natural language processing and machine-learning techniques. The empirical implementation uses data from the Uruguayan job board BuscoJobs, but can be replicated with similar data from other countries."