Counterfactual Spatial Distributions

27 Pages Posted: 22 Nov 2016

See all articles by Paul E. Carrillo

Paul E. Carrillo

George Washington University - Department of Economics

Jonathan Rothbaum

U.S. Census Bureau, Social, Economic, and Housing Statistics Division; George Washington University - Institute For International Economic Policy (GWIIEP)

Multiple version iconThere are 2 versions of this paper

Date Written: November 2016

Abstract

Recent contributions provide researchers with a useful toolbox to estimate counterfactual distributions of scalar random variables. These techniques have been widely applied in the literature. Typically, the dependent variable of interest has been a scalar and little consideration has been given to spatial factors. In this paper we propose a simple method to construct the counterfactual distribution of the location of a variable across space. We apply the spatial counterfactual technique to assess how much changes in individual characteristics of Hispanics in the Washington DC area account for changes in the distribution of their residential location choices.

Suggested Citation

Carrillo, Paul E. and Rothbaum, Jonathan, Counterfactual Spatial Distributions (November 2016). Journal of Regional Science, Vol. 56, Issue 5, pp. 868-894, 2016. Available at SSRN: https://ssrn.com/abstract=2873976 or http://dx.doi.org/10.1111/jors.12277

Paul E. Carrillo (Contact Author)

George Washington University - Department of Economics ( email )

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Jonathan Rothbaum

U.S. Census Bureau, Social, Economic, and Housing Statistics Division ( email )

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United States

HOME PAGE: http://https://sites.google.com/site/jlrothbaum/home

George Washington University - Institute For International Economic Policy (GWIIEP)

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