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Partial Distributional Policy Effects

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  • Rothe, Christoph

    ()
    (Columbia University)

Abstract

In this paper, we propose a method to evaluate the effect of a counterfactual change in the unconditional distribution of a single covariate on the unconditional distribution of an outcome variable of interest. Both fixed and infinitesimal changes are considered. We show that such effects are point identified under general conditions if the covariate affected by the counterfactual change is continuously distributed, but are typically only partially identified if its distribution is discrete. For the latter case, we derive informative bounds making use of the available information. We also discuss estimation and inference.

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Bibliographic Info

Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 6076.

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Length: 41 pages
Date of creation: Oct 2011
Date of revision:
Publication status: published in: Econometrica, 2012, 80 (5), 2269-2301
Handle: RePEc:iza:izadps:dp6076

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Related research

Keywords: partial identification; counterfactual distribution; nonseparable model;

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References

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Citations

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Cited by:
  1. Zheng Fang & Chris Sakellariou, 2013. "Evolution of Urban–rural Living Standards Inequality in Thailand: 1990–2006," Asian Economic Journal, East Asian Economic Association, vol. 27(3), pages 285-306, 09.
  2. Sakellariou, Chris, 2012. "Decomposing the increase in TIMSS Scores in Ghana : 2003-2007," Policy Research Working Paper Series 6084, The World Bank.
  3. Christoph Rothe & Dominik Wied, 2013. "Misspecification Testing in a Class of Conditional Distributional Models," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 108(501), pages 314-324, March.
  4. Kottelenberg, Michael J. & Lehrer, Steven F., 2014. "Do the Perils of Universal Child Care Depend on the Child's Age?," CLSSRN working papers clsrn_admin-2014-14, Vancouver School of Economics, revised 26 Mar 2014.
  5. Roger Koenker & Samantha Leorato & Franco Peracchi, 2013. "Distributional vs. Quantile Regression," CEIS Research Paper 300, Tor Vergata University, CEIS, revised 17 Dec 2013.
  6. Victor Chernozhukov & Iván Fernández‐Val & Blaise Melly, 2013. "Inference on Counterfactual Distributions," Econometrica, Econometric Society, vol. 81(6), pages 2205-2268, November.

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