Counterfactual Spatial Distributions

Paul Carrillo and Jonathan Rothbaum

Working Papers from The George Washington University, Institute for International Economic Policy

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 1) how much changes in individual characteristics of Hispanics in the Washington, DC, area account for changes in the distribution of their residential location choices, and 2) how changes in the average characteristics of shareholders account for changes in the spatial distribution of new firms in Quito, Ecuador.

Keywords: Decomposition; Non-parametric Estimation (search for similar items in EconPapers)
JEL-codes: C14 R23 R30 (search for similar items in EconPapers)
Pages: 36 pages
Date: 2014-03
New Economics Papers: this item is included in nep-ecm, nep-geo and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Related works:
Journal Article: COUNTERFACTUAL SPATIAL DISTRIBUTIONS (2016)
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Persistent link: https://EconPapers.repec.org/RePEc:gwi:wpaper:2014-05

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