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Missing data imputation, matching and other applications of random recursive partitioning

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  • Iacus, Stefano M.
  • Porro, Giuseppe

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File URL: http://www.sciencedirect.com/science/article/B6V8V-4MPC422-3/2/0af7b661c88f583a1f2fc6a8a592f24c
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Article provided by Elsevier in its journal Computational Statistics & Data Analysis.

Volume (Year): 52 (2007)
Issue (Month): 2 (October)
Pages: 773-789

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Handle: RePEc:eee:csdana:v:52:y:2007:i:2:p:773-789
Contact details of provider: Web page: http://www.elsevier.com/locate/csda

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  1. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
  2. Stefano Iacus & Giuseppe Porro, 2006. "Random recursive partitioning: a matching method for the estimation of the average treatment effect," UNIMI - Research Papers in Economics, Business, and Statistics unimi-1018, Universitá degli Studi di Milano.
  3. Heckman, James J & Ichimura, Hidehiko & Todd, Petra E, 1997. "Matching as an Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," Review of Economic Studies, Wiley Blackwell, vol. 64(4), pages 605-54, October.
  4. Jeffrey Smith & Petra Todd, 2003. "Does Matching Overcome Lalonde's Critique of Nonexperimental Estimators?," University of Western Ontario, CIBC Centre for Human Capital and Productivity Working Papers 20035, University of Western Ontario, CIBC Centre for Human Capital and Productivity.
  5. Smith, Jeffrey & Todd, Petra, 2005. "Rejoinder," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 365-375.
  6. Buttrey, Samuel E., 1998. "Nearest-neighbor classification with categorical variables," Computational Statistics & Data Analysis, Elsevier, vol. 28(2), pages 157-169, August.
  7. Dehejia, Rajeev, 2005. "Practical propensity score matching: a reply to Smith and Todd," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 355-364.
  8. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," Econometrica, Econometric Society, vol. 66(5), pages 1017-1098, September.
  9. LaLonde, Robert J, 1986. "Evaluating the Econometric Evaluations of Training Programs with Experimental Data," American Economic Review, American Economic Association, vol. 76(4), pages 604-20, September.
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Cited by:

  1. Ole Boysen and Alan Matthews, 2008. "Poverty Impacts of an Economic Partnership Agreement between Uganda and the EU," The Institute for International Integration Studies Discussion Paper Series iiisdp261, IIIS.
  2. Dettmann, E. & Becker, C. & Schmeißer, C., 2011. "Distance functions for matching in small samples," Computational Statistics & Data Analysis, Elsevier, vol. 55(5), pages 1942-1960, May.
  3. Claudio Conversano & Roberta Siciliano, 2009. "Incremental Tree-Based Missing Data Imputation with Lexicographic Ordering," Journal of Classification, Springer, vol. 26(3), pages 361-379, December.
  4. Doove, L.L. & Van Buuren, S. & Dusseldorp, E., 2014. "Recursive partitioning for missing data imputation in the presence of interaction effects," Computational Statistics & Data Analysis, Elsevier, vol. 72(C), pages 92-104.
  5. Drechsler, Jörg & Reiter, Jerome P., 2011. "An empirical evaluation of easily implemented, nonparametric methods for generating synthetic datasets," Computational Statistics & Data Analysis, Elsevier, vol. 55(12), pages 3232-3243, December.
  6. Stefano Iacus & Giuseppe Porro, . "Invariant and Metric Free Proximities for Data Matching: An R Package," Journal of Statistical Software, American Statistical Association, vol. 25(i11).

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