Working Papers
Unionization, Employer Opposition, and Establishment Closure
2024, Revise and Resubmit at American Economic Review
Coauthor: Sean Wang
Unionization, Employer Opposition, and Establishment Closure
2024, Revise and Resubmit at American Economic Review
Coauthor: Sean Wang
Abstract: We study the effect of private-sector unionization on establishment employment and survival. Our empirical strategy extends standard difference-in-differences techniques with regression discontinuity extrapolation methods. We show that unionization decreases an establishment's employment and likelihood of survival. We hypothesize that two reasons for these effects are firms' ability to avoid working with new unions and their overall opposition to unions. We support these new explanations by showing that firms shift production away from newly unionized establishments and that the negative effects are largest when the firm is likely more opposed to the union.
2024, Reject and Resubmit at Journal of Human Resources
Abstract: I study the effect of noncompete agreements on low-earning workers using a noncompete ban in Austria. The ban increased treated workers’ annual job-to-job transition rate by 0.3 percentage points (a two percent increase). This effect was driven by within-industry job transitions. The reform also disproportionately increased transitions to higher-quality firms and transitions accompanied by earnings gains. However, I do not find that the ban increased treated workers' overall earnings growth rates. This evidence shows that noncompetes in Austria restricted low-earning workers’ job mobility but that this impact was not large enough to affect aggregate mobility or earnings trends.
Wages and the Value of Nonemployment
Quarterly Journal of Economics, (2020)
Coauthors: Simon Jäger, Benjamin Schoefer, and Josef Zweimüller
Abstract: Nonemployment is often posited as a worker’s outside option in wage setting models such as bargaining and wage posting. The value of nonemployment is therefore a key determinant of wages. We measure the wage effect of changes in the value of nonemployment among initially employed workers. Our quasi-experimental variation in the value of nonemployment arises from four large reforms of unemployment insurance (UI) benefit levels in Austria. We document that wages are insensitive to UI benefit changes: point estimates imply a wage response of less than $0.01 per $1.00 UI benefit increase, and we can reject sensitivities larger than $0.03. The insensitivity holds even among workers with low wages and high predicted unemployment duration, and among job switchers hired out of unemployment. The insensitivity of wages to the nonemployment value presents a puzzle to the widely used Nash bargaining model, which predicts a sensitivity of $0.24–$0.48. Our evidence supports wage-setting models that insulate wages from the value of nonemployment.
The Distributional Effects of Firm Demand Changes: Evidence from U.S. Linked Worker-Owner Data
2025, Working Paper
Coauthor: Sean Wang
Abstract: This paper analyzes which individuals benefit when firm demand increases and whether the same groups bear the costs of demand decreases. We develop a flexible framework to estimate the incidence of firm shocks with data on each firm’s workers and owners. Specifically, we use linked firm-worker-owner tax data from U.S. pass-through firms to track how each dollar that firms distribute as wages and business profits is allocated among individuals. These data allow us to conduct the first joint analysis of how changes in firm demand affect both workers and owners. We leverage export-demand variation and value-added fluctuations as firm-specific demand shocks. The incidence of these shocks is highly unequal. Individuals in the top 1% of the national income distribution receive up to 60% of the income changes, while those in the bottom 50% receive less than 15%. This unequal distribution arises because firm owners receive most of the income changes from the shocks and are predominantly in the top of the income distribution. Moreover, the incidence is asymmetric for positive versus negative demand changes. Workers bear 26% of the losses from a negative shock that reduces firm value added by 14% but receive only 10% of the gains from a similarly sized positive shock. This asymmetry arises partly because workers face a greater risk of job loss than owners following negative demand shocks.