BazEkon - The Main Library of the Cracow University of Economics

BazEkon home page

Main menu

Author
Strawiński Paweł (University of Warsaw, Poland)
Title
An Improvement of Quality of Statistical Matching for Survey Data Using Dynamic Caliper
Source
Statistics in Transition, 2011, vol. 12, nr 3, s. 595-607, rys., tab., bibliogr. s. 606-607
Keyword
Analiza danych statystycznych, Ewaluacja, Ekonometria, Symulacja
Statistical data analysis, Evaluation, Econometrics, Simulation
Note
summ.
The research is co-founded by Polish Ministry of Science and Higher Education grant N111 109335.
Abstract
Nowadays, matching is a widely used technique to estimate program net effects. The goal of the method is to establish a counterfactual state by choosing from the control pool a group that is similar to those in the treatment group. In this article we propose a modification of the matching with caliper procedure. The novelty in our approach is setting the caliper value as a fraction of estimated propensity score. The simulation results and examples are presented. Using Deheija and Wahba (1999) data benefits of the proposed approach are stressed. The obtained results indicate that proposed approach is more efficient than the one traditionally used. (original abstract)
Accessibility
The Main Library of the Cracow University of Economics
The Library of Warsaw School of Economics
The Library of University of Economics in Katowice
The Main Library of Poznań University of Economics and Business
The Main Library of the Wroclaw University of Economics
Full text
Show
Bibliography
Show
  1. AUSTIN P. (2009) "Some methods of Propensity Score Matching Had Superior Performance to Others: Result of an Empirical Investigation and Monte Carlo Simulations.", Biometrical Journal, vol. 5, pp. 171-184.
  2. BLUNDELL R., COSTA-DIAS M. (2000) "Evaluation Methods for Non-Experimental Data", Fiscal Studies, vol. 21/4, pp. 427- 468.
  3. COCHRANE, RUBIN (1973) "Controling Bias in Observational Studies. A Review", Sankhya, vol. 35, pp. 417- 466.
  4. DEHEJIA R., WAHBA S. (1999) "Causal Effects in Nonexperimental studies: Reevaluating the Evaluation of Training Program", Journal of American Statistical Association, vol. 94, no 448.
  5. DEHEJIA R., WAHBA S. (2002) "Propensity score matching methods for nonexperimental causal studies", Journal of the American Statistical Association, vol. 84, pp. 151-161.
  6. HECKMAN J., HOTZ J. (1989) "Choosing among alternative nonexperimental methods for estimating the impact of social programs: the case of manpower training", Journal of the American Statistical Association, vol. 84(408), pp. 862-880.
  7. HECKMAN J., ICHIMURA H., TODD P. (1997) "Matching as an Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme", The Review of Economic Studies, vol. 64/4, pp. 605-654.
  8. LEE M-J. (2005) "Micro-Econometrics for Policy, Program, and Treatment Effects", Oxford University Press.
  9. ROSENBAUM P., RUBIN D. (1983) "The Central Role of the Propensity Score in Observational Studies for Causal Effects", Biometrika, vol. 70/1, pp. 41-55.
  10. RUBIN D. (1973) "Matching to Remove Bias in Observational Studies", Biometrics, vol. 29, pp. 159-183.
  11. SMITH J., TODD P. (2005) "Does Matching Overcome LaLonde's Critique of nonexperimental estimators?", Journal of Econometrics, vol. 125, str. 305353.
  12. STRAWIŃSKI P. (2007) "Causality, selection and engodenuous effects"[Przyczynowość, selekcja i endogeniczne oddziaływanie], Przegląd Statystyczny nr 4/2007, pp. 49-61.
  13. STRAWIŃSKI P. (2009) "Matching with Dynamic Caliper. Preliminary Results"[Łączenie danych z dynamicznym obcięciem. Wyniki wstępne], Metody Ilościowe w Badaniach Ekonomicznych X, pp. 232-242.
Cited by
Show
ISSN
1234-7655
Language
eng
Share on Facebook Share on Twitter Share on Google+ Share on Pinterest Share on LinkedIn Wyślij znajomemu