Counterfactual Spatial Distributions

43 Pages Posted: 29 Mar 2013 Last revised: 16 Oct 2015

See all articles by Paul E. Carrillo

Paul E. Carrillo

George Washington University - Department of Economics

Jonathan Rothbaum

George Washington University

Multiple version iconThere are 2 versions of this paper

Date Written: October 15, 2015

Abstract

The influential contributions of DiNardo, Fortin, and Lemieux (1996), Firpo, Fortin, and Lemieux (2009), Machado and Mata (2005), and Donald, Green, and Paarsch (2000) 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.

Keywords: Decomposition, Non-parametric Estimation

JEL Classification: C14, R23, R30

Suggested Citation

Carrillo, Paul E. and Rothbaum, Jonathan, Counterfactual Spatial Distributions (October 15, 2015). Available at SSRN: https://ssrn.com/abstract=2241269 or http://dx.doi.org/10.2139/ssrn.2241269

Paul E. Carrillo (Contact Author)

George Washington University - Department of Economics ( email )

Monroe Hall Suite 340
2115 G Street NW
Washington, DC 20052
United States

Jonathan Rothbaum

George Washington University ( email )

2121 I Street NW
Washington, DC 20052
United States

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