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Data and code for: Place-Based Drivers of Mortality: Evidence from Migration

Principal Investigator(s):  View help for Principal Investigator(s) Amy Finkelstein, MIT; Matthew Gentzkow, Stanford; Heidi Williams, Stanford

Version:  View help for Version V1

Name File Type Size Last Modified
  code 08/11/2021 11:21:PM
dependencies.csv text/csv 420 KB 08/11/2021 07:21:PM
dependencies.pdf application/pdf 751.5 KB 08/11/2021 07:21:PM
readme.lyx text/plain 49.1 KB 08/11/2021 07:21:PM
readme.pdf application/pdf 122.5 KB 08/11/2021 07:21:PM
unpacking.txt text/plain 893 bytes 08/11/2021 07:21:PM

Project Citation: 

Finkelstein, Amy, Gentzkow, Matthew, and Williams, Heidi. Data and code for: Place-Based Drivers of Mortality: Evidence from Migration. Nashville, TN: American Economic Association [publisher], 2021. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2021-11-09. https://doi.org/10.3886/E125381V1

Project Description

Summary:  View help for Summary We estimate the effect of current location on elderly mortality by analyzing outcomes of movers in the Medicare population. We control for movers' origin locations as well as a rich vector of pre-move health measures. We also develop a novel strategy to adjust for remaining unobservables, using the correlation of residual mortality with movers' origins to gauge the importance of omitted variables. We estimate substantial effects of current location. Moving from a 10th to a 90th percentile location would increase life expectancy at age 65 by 1.1 years, and equalizing location effects would reduce cross-sectional variation in life expectancy by 15 percent. Places with favorable life expectancy effects tend to have higher quality and quantity of health care, less extreme climates, lower crime rates, and higher socioeconomic status.

Scope of Project

JEL Classification:  View help for JEL Classification
      I10 Health: General


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Published Versions

V2 [2022-08-08]

V1 [2021-11-09]

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