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Location, Location, Location

Author

Listed:
  • David Card
  • Jesse Rothstein
  • Moises Yi

Abstract

We use data from the Longitudinal Employer-Household Dynamics program to study the causal effects of location on earnings. Starting from a model with employer and employee fixed effects, we estimate the average earnings premiums associated with jobs in different commuting zones (CZs) and different CZ-industry pairs. About half of the variation in mean wages across CZs is attributable to differences in worker ability (as measured by their fixed effects); the other half is attributable to place effects. We show that the place effects from a richly specified cross sectional wage model overstate the causal effects of place (due to unobserved worker ability), while those from a model that simply adds person fixed effects understate the causal effects (due to unobserved heterogeneity in the premiums paid by different firms in the same CZ). Local industry agglomerations are associated with higher wages, but overall differences in industry composition and in CZ-specific returns to industries explain only a small fraction of average place effects. Estimating separate place effects for college and non-college workers, we find that the college wage gap is bigger in larger and higher-wage places, but that two-thirds of this variation is attributable to differences in the relative skills of the two groups in different places. Most of the remaining variation reflects the enhanced sorting of more educated workers to higher-paying industries in larger and higher-wage CZs. Finally, we find that local housing costs at least fully offset local pay premiums, implying that workers who move to larger CZs have no higher net-of-housing consumption.

Suggested Citation

  • David Card & Jesse Rothstein & Moises Yi, 2021. "Location, Location, Location," Working Papers 21-32, Center for Economic Studies, U.S. Census Bureau.
  • Handle: RePEc:cen:wpaper:21-32
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    References listed on IDEAS

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    2. Bauluz, Luis & Bukowski, Pawel & Fransham, Mark & Lee, Annie Seong & López Forero, Margarita & Novokmet, Filip & Breau, Sébastien & Lee, Neil & Malgouyres, Clément & Schularick, Moritz & Verdugo, Greg, 2023. "Spatial wage inequality in North America and Western Europe: changes between and within local labour markets 1975-2019," LSE Research Online Documents on Economics 121290, London School of Economics and Political Science, LSE Library.
    3. Paolo Pinotti & Diogo G. C. Britto & Alexandre Fonseca & Breno Sampaio & Lucas Warwar, 2022. "Intergenerational Mobility in the Land of Inequality," CReAM Discussion Paper Series 2322, Centre for Research and Analysis of Migration (CReAM), Department of Economics, University College London.
    4. Tom Kemeny & Sergio Petralia & Michael Storper, 2022. "Disruptive innovation and spatial inequality," Papers in Evolutionary Economic Geography (PEEG) 2211, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jul 2022.
    5. Ivan Badinski & Amy Finkelstein & Matthew Gentzkow & Peter Hull, 2023. "Geographic Variation in Healthcare Utilization: The Role of Physicians," NBER Working Papers 31749, National Bureau of Economic Research, Inc.

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    More about this item

    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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