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Counterfactual Spatial Distributions

  • Paul E. Carrillo


    (Department of Economics/Institute for International Economic Policy, George Washington University)

  • Jonathan Rothbaum


    (Development Research Group, The World Bank)

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.

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Paper provided by The George Washington University, Institute for International Economic Policy in its series Working Papers with number 2014-05.

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Length: 36 pages
Date of creation: Mar 2014
Date of revision:
Handle: RePEc:gwi:wpaper:2014-05
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  1. Jim Albrecht & Aico van Vuuren & Susan Vroman, 2007. "Counterfactual Distributions with Sample Selection Adjustments: Econometric Theory and an Application to the Netherlands," Working Papers gueconwpa~07-07-06, Georgetown University, Department of Economics.
  2. Edward L. Glaeser & Joshua D. Gottlieb, 2009. "The Wealth of Cities: Agglomeration Economies and Spatial Equilibrium in the United States," NBER Working Papers 14806, National Bureau of Economic Research, Inc.
  3. Mathias Dolls & Clemens Fuest & Andreas Peichl, 2010. "Automatic Stabilizers and Economic Crisis: US vs. Europe," NBER Working Papers 16275, National Bureau of Economic Research, Inc.
  4. Carrillo, Paul E. & Pope, Jaren C., 2012. "Are homes hot or cold potatoes? The distribution of marketing time in the housing market," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 189-197.
  5. John Bound & Michael F. Lovenheim & Sarah Turner, 2010. "Why Have College Completion Rates Declined? An Analysis of Changing Student Preparation and Collegiate Resources," American Economic Journal: Applied Economics, American Economic Association, vol. 2(3), pages 129-57, July.
  6. Binh Nguyen & James Albrecht & Susan Vroman & Daniel Westbrook, 2003. "A Quantile Regression Decomposition of Urban-Rural Inequality in Vietnam," Working Papers gueconwpa~03-03-31, Georgetown University, Department of Economics.
  7. Nicodemo, Catia & Raya, Josep M., 2012. "Change in the Distribution of House Prices across Spanish Cities," IZA Discussion Papers 6503, Institute for the Study of Labor (IZA).
  8. Diego Puga, 2009. "The magnitude and causes of agglomeration economies," Working Papers 2009-09, Instituto Madrileño de Estudios Avanzados (IMDEA) Ciencias Sociales.
  9. Patrick J. Bayer & Robert McMillan & Kim Rueben, 2004. "What Drives Racial Segregation? New Evidence Using Census Microdata," Yale School of Management Working Papers ysm409, Yale School of Management.
  10. Albrecht, James & Björklund, Anders & Vroman, Susan, 2001. "Is There a Glass Ceiling in Sweden?," IZA Discussion Papers 282, Institute for the Study of Labor (IZA).
  11. Dinardo, J. & Fortin, N.M. & Lemieux, T., 1994. "Labor Market Institutions and the Distribution of Wages, 1973-1992: a Semiparametric Approach," Cahiers de recherche 9406, Universite de Montreal, Departement de sciences economiques.
  12. Donald, Stephen G & Green, David A & Paarsch, Harry J, 2000. "Differences in Wage Distributions between Canada and the United States: An Application of a Flexible Estimator of Distribution Functions in the Presence of Covariates," Review of Economic Studies, Wiley Blackwell, vol. 67(4), pages 609-33, October.
  13. José Mata & José A. F. Machado, 2005. "Counterfactual decomposition of changes in wage distributions using quantile regression," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 445-465.
  14. Owen O'Donnell & �ngel L�pez Nicol�s & Eddy van Doorslaer, 2007. "Growing richer and taller: Explaining Change in the Distribution of Child Nutritional Status during Vietnam’s Economic Boom," Tinbergen Institute Discussion Papers 07-008/3, Tinbergen Institute.
  15. Paul Carrillo & Anthony Yezer, 2008. "Alternative Measures of Homeownership Gaps Across Segregated Neighboorhoods," Working Papers 2008-07, The George Washington University, Institute for International Economic Policy.
  16. McMillen, Daniel P., 2008. "Changes in the distribution of house prices over time: Structural characteristics, neighborhood, or coefficients?," Journal of Urban Economics, Elsevier, vol. 64(3), pages 573-589, November.
  17. Stuart S. Rosenthal & William C. Strange, 2003. "Geography, Industrial Organization, and Agglomeration," Center for Policy Research Working Papers 56, Center for Policy Research, Maxwell School, Syracuse University.
  18. Thomas Lemieux, 2006. "Increasing Residual Wage Inequality: Composition Effects, Noisy Data, or Rising Demand for Skill?," American Economic Review, American Economic Association, vol. 96(3), pages 461-498, June.
  19. Rosenthal, Stuart S. & Strange, William C., 2001. "The Determinants of Agglomeration," Journal of Urban Economics, Elsevier, vol. 50(2), pages 191-229, September.
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