Climate Change Impacts on U.S. Migration and Household Location Choice
AbstractThis paper employs a two-stage residential sorting model to examine climate change impacts on residential location choices in the US. The estimated coefficients are used to simulate population changes and US migration patterns across regions under hypothetical changes in climate. The main dataset used for estimation is the Integrated Public Use Microdata Sample (IPUMS), which provides demographic characteristics of approximately 2.4 million households located in 283 Metropolitan Statistical Areas (MSAs) of the US in the year 2000. Projected climate data (i.e. extreme temperatures) used for simulation are obtained from the North American Regional Climate Change Assessment Program (NARCCAP). In the estimation component, a two-stage random utility sorting model (RUM) is employed. The first-stage discrete choice model employs a multinomial logit specification to recover heterogeneous parameters associated with MSA specific variables, migration costs, along with the mean indirect utility of each MSA. In particular, the interaction terms of temperature extremes and individual-specific characteristics, such as one’s birth region, age and educational attainment, are used to recover valuations of temperature extremes for different classes of people with potentially different preferences. The second stage of this model decomposes the mean indirect utility obtained from the first stage into its MSA-specific attributes controlling for unobservables using region fixed effects. Migration costs are statistically significant. If migration costs are high, individuals are less likely to relocate for the sake of moderate changes in weather extremes. In the simulation component, the estimated coefficients are used to simulate population changes across regions in the US under hypothetical changes in extreme temperatures. We find that extreme temperature and extreme precipitation reduce utility, and people’s preferences for temperature extremes are heterogeneous. The climate of one’s place of birth and demographic characteristics such as age and educational attainment, are significant factors that lead to preference heterogeneity. In addition, we find that population share in the Southern region and California drop, while population share in Northeastern region increases under hypothetical changes in climate.
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Bibliographic InfoPaper provided by Agricultural and Applied Economics Association in its series 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington with number 124588.
Date of creation: 2012
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Climate Change; Extremes; Tiebout Sorting; Locational Equilibrium; Migration; Environmental Economics and Policy; Q51 and Q54;
Find related papers by JEL classification:
- Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
- Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-06-25 (All new papers)
- NEP-DEM-2012-06-25 (Demographic Economics)
- NEP-ENV-2012-06-25 (Environmental Economics)
- NEP-MIG-2012-06-25 (Economics of Human Migration)
- NEP-URE-2012-06-25 (Urban & Real Estate Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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