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app-figure-A1--wage-distrib-in-sample-.do text/plain 1.1 KB 10/12/2019 02:00:AM
app-figure-A2--stacked-rd---mrd---quits-.do text/plain 26.9 KB 10/12/2019 02:00:AM
app-figure-A3--split-sample-rd-.do text/plain 26.6 KB 10/12/2019 02:00:AM
app-figure-A4--time-shift-placebo-.do text/plain 26.6 KB 10/12/2019 02:00:AM
app-figure-A5--wage-shift-placebo-.do text/plain 5.4 KB 10/12/2019 02:00:AM
app-table-A1--wage-growth-.do text/plain 1.4 KB 10/12/2019 02:00:AM
app-table-A10--mrd---quits-sample-selection-.do text/plain 5.3 KB 10/12/2019 02:00:AM
app-table-A11--mrd---predicted-quits-.do text/plain 6.1 KB 10/12/2019 02:00:AM
app-table-A12--vary-peer-wage-band-.do text/plain 2.7 KB 10/12/2019 02:00:AM
app-table-A13--alt-peer-definitions-.do text/plain 2.9 KB 10/12/2019 02:00:AM

Project Description

Summary:  View help for Summary We analyze how separations responded to arbitrary differences in own and peer wages at a large US retailer. Regression-discontinuity estimates imply large causal effects of own-wages on separations, and on quits in particular. However, this own-wage response could reflect comparisons either to market wages or to peer wages. Estimates using peer-wage discontinuities show large peer-wage effects and imply the own-wage separation response mostly reflects peer comparisons. The peer effect is driven by comparisons with higher-paid peers—suggesting concerns about fairness. Separations appear fairly insensitive when raises are similar across peers—suggesting search frictions and monopsony are relevant in this low-wage sector.

Scope of Project

JEL Classification:  View help for JEL Classification
      D63 Equity, Justice, Inequality, and Other Normative Criteria and Measurement
      J31 Wage Level and Structure; Wage Differentials
      J42 Monopsony; Segmented Labor Markets
      J62 Job, Occupational, and Intergenerational Mobility; Promotion
      L81 Retail and Wholesale Trade; e-Commerce


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