【題  目】Help Really Wanted? The Impact of Age Stereotypes in Job Ads on Applications from Older Workers

【時(shí)  間】2025年4月2日（星期三），14:00-15:30

【地  點(diǎn)】后主樓1726會(huì)議室

【主講人】David Neumark教授（University of California, Irvine）

【主持人】何浩然 教授（北京師范大學(xué)經(jīng)濟(jì)與工商管理學(xué)院）

摘要：

I will discuss a set of papers on age discrimination in hiring. I begin with evidence from a large-scale resume ("correspondence") study that tests for age discrimination in hiring. I then turn to evidence on the relationship between employer discrimination in the experiment and the use of age-stereotyped language in posted job ads. Finally, I present evidence from a field experiment on the impact of age-stereotyped job-ad language on applicant pools in the context of age discrimination. In this experiment, we construct job ads using language from real job ads collected in the large-scale correspondence study of age discrimination. We modify the job-ad language to randomly vary whether the job ad includes language related to ageist stereotypes. We find that job-ad language that is semantically related to ageist stereotypes, but is not overtly ageist, strongly deters older workers from applying for jobs.

報(bào)告人簡(jiǎn)介：

David Neumark is Distinguished Professor of Economics and Co-Director of the Center for Population, Inequality, and Policy at UCI.  He has been a co-editor of the Journal of Urban Economics, an editor of the IZA Journal of Labor Policy. Professor Neumark has made research contributions in numerous areas of labor economics that intersect with important public policy issues. Neumark’s research on labor market discrimination has opened up new methods of measuring discrimination, and contributed to the “new minimum wage research.” He has authored many studies on age discrimination and the economics of aging. Recently, he has studied how stronger age discrimination laws complement policy reforms intended to increase labor supply of older workers, conducted a large-scale field experiment testing for age discrimination, and developed methods to test for age stereotypes in job ads and explore how these influence job search of older workers.