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COUNTERFACTUAL SPATIAL DISTRIBUTIONS
Author(s) -
Carrillo Paul E.,
Rothbaum Jonathan L.
Publication year - 2016
Publication title -
journal of regional science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.171
H-Index - 79
eISSN - 1467-9787
pISSN - 0022-4146
DOI - 10.1111/jors.12277
Subject(s) - counterfactual thinking , scalar (mathematics) , econometrics , toolbox , variable (mathematics) , computer science , random variable , spatial distribution , distribution (mathematics) , statistics , mathematics , statistical physics , psychology , mathematical analysis , social psychology , physics , geometry , programming language
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.