A Note on the Relation of Weighting and Matching Estimators
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Markus Frlich, 2004. "Finite-Sample Properties of Propensity-Score Matching and Weighting Estimators," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 77-90, February.
- Frölich, Markus & Lechner, Michael, 2010.
"Exploiting Regional Treatment Intensity for the Evaluation of Labor Market Policies,"
Journal of the American Statistical Association, American Statistical Association, vol. 105(491), pages 1014-1029.
- Frölich, Markus & Lechner, Michael, 2006. "Exploiting Regional Treatment Intensity for the Evaluation of Labour Market Policies," IZA Discussion Papers 2144, Institute of Labor Economics (IZA).
- Markus Frölich & Michael Lechner, 2006. "Exploiting regional treatment intensity for the evaluation of labour market policies," University of St. Gallen Department of Economics working paper series 2006 2006-12, Department of Economics, University of St. Gallen.
- Markus Frölich & Michael Lechner, 2006. "Exploiting regional treatment intensity for the evaluation of labour market policies," CeMMAP working papers CWP11/06, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Lechner, Michael & Fröhlich, Markus, 2006. "Exploiting Regional Treatment Intensity for the Evaluation of Labour Market Policies," CEPR Discussion Papers 5728, C.E.P.R. Discussion Papers.
- Heckman, James J. & Lalonde, Robert J. & Smith, Jeffrey A., 1999. "The economics and econometrics of active labor market programs," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 31, pages 1865-2097, Elsevier.
- Christopher Taber & Hidehiko Ichimura, 2001. "Propensity-Score Matching with Instrumental Variables," American Economic Review, American Economic Association, vol. 91(2), pages 119-124, May.
- Guido W. Imbens, 2004.
"Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review,"
The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
- Guido W. Imbens, 2003. "Nonparametric Estimation of Average Treatment Effects under Exogeneity: A Review," NBER Technical Working Papers 0294, National Bureau of Economic Research, Inc.
- Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, January.
- Sergio Firpo, 2007.
"Efficient Semiparametric Estimation of Quantile Treatment Effects,"
Econometrica, Econometric Society, vol. 75(1), pages 259-276, January.
- Sergio Firpo, 2004. "Efficient Semiparametric Estimation of Quantile Treatment Effects," Econometric Society 2004 North American Summer Meetings 605, Econometric Society.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Martin Huber, 2014.
"Treatment Evaluation in the Presence of Sample Selection,"
Econometric Reviews, Taylor & Francis Journals, vol. 33(8), pages 869-905, November.
- Martin Huber, 2009. "Treatment evaluation in the presence of sample selection," University of St. Gallen Department of Economics working paper series 2009 2009-07, Department of Economics, University of St. Gallen.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Guido W. Imbens & Jeffrey M. Wooldridge, 2009.
"Recent Developments in the Econometrics of Program Evaluation,"
Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
- Guido Imbens & Jeffrey M. Wooldridge, 2008. "Recent developments in the econometrics of program evaluation," CeMMAP working papers CWP24/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Wooldridge, Jeffrey M. & Imbens, Guido, 2009. "Recent Developments in the Econometrics of Program Evaluation," Scholarly Articles 3043416, Harvard University Department of Economics.
- Imbens, Guido W. & Wooldridge, Jeffrey M., 2008. "Recent Developments in the Econometrics of Program Evaluation," IZA Discussion Papers 3640, Institute of Labor Economics (IZA).
- Guido M. Imbens & Jeffrey M. Wooldridge, 2008. "Recent Developments in the Econometrics of Program Evaluation," NBER Working Papers 14251, National Bureau of Economic Research, Inc.
- Ham, John C. & Li, Xianghong & Reagan, Patricia B., 2011. "Matching and semi-parametric IV estimation, a distance-based measure of migration, and the wages of young men," Journal of Econometrics, Elsevier, vol. 161(2), pages 208-227, April.
- Lechner, Michael, 2013. "Treatment effects and panel data," Economics Working Paper Series 1314, University of St. Gallen, School of Economics and Political Science.
- Gevrek, Z. Eylem & Seiberlich, Ruben R., 2014.
"Semiparametric decomposition of the gender achievement gap: An application for Turkey,"
Labour Economics, Elsevier, vol. 31(C), pages 27-44.
- Z. Eylem Gevrek & Ruben R. Seiberlich, 2012. "Semiparametric Decomposition of the Gender Achievement Gap: An Application for Turkey," Working Paper Series of the Department of Economics, University of Konstanz 2012-32, Department of Economics, University of Konstanz.
- Stefanie Behncke & Markus Frölich & Michael Lechner, 2010.
"Unemployed and their caseworkers: should they be friends or foes?,"
Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(1), pages 67-92, January.
- Stefanie Behncke & Markus Fröhlich & Michael Lechner, 2007. "Unemployed and their Caseworkers: Should they be Friends or Foes?," University of St. Gallen Department of Economics working paper series 2007 2007-45, Department of Economics, University of St. Gallen.
- Lechner, Michael & Frölich, Markus & Behncke, Stefanie, 2007. "Unemployed and Their Caseworkers: Should They Be Friends or Foes?," CEPR Discussion Papers 6558, C.E.P.R. Discussion Papers.
- Behncke, Stefanie & Frölich, Markus & Lechner, Michael, 2007. "Unemployed and Their Caseworkers: Should They Be Friends or Foes?," IZA Discussion Papers 3149, Institute of Labor Economics (IZA).
- Peter R. Mueser & Kenneth R. Troske & Alexey Gorislavsky, 2007.
"Using State Administrative Data to Measure Program Performance,"
The Review of Economics and Statistics, MIT Press, vol. 89(4), pages 761-783, November.
- Peter R. Mueser & Kenneth Troske & Alexey Gorislavsky, 2003. "Using State Administrative Data to Measure Program Performance," Working Papers 0309, Department of Economics, University of Missouri.
- Mueser, Peter R. & Troske, Kenneth & Gorislavsky, Alexey, 2003. "Using State Administrative Data to Measure Program Performance," IZA Discussion Papers 786, Institute of Labor Economics (IZA).
- Peter R. Mueser & Kenneth R. Troske & Alexey Gorislavsky, 2007. "Using State Administrative Data to Measure Program Performance," Working Papers 0702, Department of Economics, University of Missouri.
- Michael Lechner & Conny Wunsch, 2009.
"Are Training Programs More Effective When Unemployment Is High?,"
Journal of Labor Economics, University of Chicago Press, vol. 27(4), pages 653-692, October.
- Lechner, Michael & Wunsch, Conny, 2006. "Are Training Programs More Effective When Unemployment Is High?," IZA Discussion Papers 2355, Institute of Labor Economics (IZA).
- Lechner, Michael & Wunsch, Conny, 2007. "Are training programs more effective when unemployment is high?," IAB-Discussion Paper 200707, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
- Lechner, Michael & Wunsch, Conny, 2006. "Are Training Programs More Effective When Unemployment Is High?," CEPR Discussion Papers 5920, C.E.P.R. Discussion Papers.
- Michael Lechner & Conny Wunsch, 2006. "Are Training Programs More Effective When Unemployment Is High?," University of St. Gallen Department of Economics working paper series 2006 2006-23, Department of Economics, University of St. Gallen.
- Lechner, Michael & Wunsch, Conny, 2013.
"Sensitivity of matching-based program evaluations to the availability of control variables,"
Labour Economics, Elsevier, vol. 21(C), pages 111-121.
- Lechner, Michael & Wunsch, Conny, 2011. "Sensitivity of Matching-Based Program Evaluations to the Availability of Control Variables," IZA Discussion Papers 5553, Institute of Labor Economics (IZA).
- Lechner, Michael & Wunsch, Conny, 2011. "Sensitivity of matching-based program evaluations to the availability of control variables," Economics Working Paper Series 1105, University of St. Gallen, School of Economics and Political Science.
- Michael Lechner & Conny Wunsch, 2011. "Sensitivity of Matching-Based Program Evaluations to the Availability of Control Variables," CESifo Working Paper Series 3381, CESifo.
- Lechner, Michael & Wunsch, Conny, 2011. "Sensitivity of matching-based program evaluations to the availability of control variables," CEPR Discussion Papers 8294, C.E.P.R. Discussion Papers.
- Behncke S, 2009.
"How Does Retirement Affect Health?,"
Health, Econometrics and Data Group (HEDG) Working Papers
09/11, HEDG, c/o Department of Economics, University of York.
- Stefanie Behncke, 2009. "How Does Retirement Affect Health?," University of St. Gallen Department of Economics working paper series 2009 2009-13, Department of Economics, University of St. Gallen.
- Behncke, Stefanie, 2009. "How Does Retirement Affect Health?," IZA Discussion Papers 4253, Institute of Labor Economics (IZA).
- Martin Huber & Michael Lechner & Andreas Steinmayr, 2015.
"Radius matching on the propensity score with bias adjustment: tuning parameters and finite sample behaviour,"
Empirical Economics, Springer, vol. 49(1), pages 1-31, August.
- Huber, Martin & Lechner, Michael & Steinmayr, Andreas, 2012. "Radius matching on the propensity score with bias adjustment: finite sample behaviour, tuning parameters and software implementation," Economics Working Paper Series 1226, University of St. Gallen, School of Economics and Political Science.
- Carlos A. Flores & Oscar A. Mitnik, 2009.
"Evaluating Nonexperimental Estimators for Multiple Treatments: Evidence from Experimental Data,"
Working Papers
2010-10, University of Miami, Department of Economics.
- Flores, Carlos A. & Mitnik, Oscar A., 2009. "Evaluating Nonexperimental Estimators for Multiple Treatments: Evidence from Experimental Data," IZA Discussion Papers 4451, Institute of Labor Economics (IZA).
- Carlos A. Flores & Oscar A. Mitnik, 2009. "Evaluating Nonexperimental Estimators for Multiple Treatments: Evidence from Experimental Data," Working Papers 2010-9, University of Miami, Department of Economics.
- Zongwu Cai & Ying Fang & Ming Lin & Shengfang Tang, 2020. "Inferences for Partially Conditional Quantile Treatment Effect Model," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202005, University of Kansas, Department of Economics, revised Feb 2020.
- Shu Yang & Yunshu Zhang, 2023. "Multiply robust matching estimators of average and quantile treatment effects," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 50(1), pages 235-265, March.
- Huber, Martin & Lechner, Michael & Wunsch, Conny, 2010.
"How to Control for Many Covariates? Reliable Estimators Based on the Propensity Score,"
IZA Discussion Papers
5268, Institute of Labor Economics (IZA).
- Martin Huber & Michael Lechner & Conny Wunsch, 2010. "How to control for many covariates? Reliable estimators based on the propensity score," University of St. Gallen Department of Economics working paper series 2010 2010-30, Department of Economics, University of St. Gallen.
- Lee, Ying-Ying, 2018. "Efficient propensity score regression estimators of multivalued treatment effects for the treated," Journal of Econometrics, Elsevier, vol. 204(2), pages 207-222.
- Michael Lechner & Ruth Miquel & Conny Wunsch, 2011.
"Long‐Run Effects Of Public Sector Sponsored Training In West Germany,"
Journal of the European Economic Association, European Economic Association, vol. 9(4), pages 742-784, August.
- Lechner, Michael & Miquel, Ruth & Wunsch, Conny, 2004. "Long-Run Effects of Public Sector Sponsored Training in West Germany," IZA Discussion Papers 1443, Institute of Labor Economics (IZA).
- Miquel, Ruth & Lechner, Michael & Wunsch, Conny, 2005. "Long-Run Effects of Public Sector Sponsored Training in West Germany," ZEW Discussion Papers 05-02, ZEW - Leibniz Centre for European Economic Research.
- Michael Lechner & Ruth Miquel & Conny Wunsch, 2004. "Long-run Effects of Public Sector Sponsored Training in West Germany," University of St. Gallen Department of Economics working paper series 2004 2004-19, Department of Economics, University of St. Gallen.
- Lechner, Michael & Miquel, Ruth & Wunsch, Conny, 2005. "Long-run effects of public sector sponsored training in West Germany," IAB-Discussion Paper 200503, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
- Miquel, Ruth & Lechner, Michael & Wunsch, Conny, 2005. "Long run Effects of Public Sector Sponsored Training in West Germany," CEPR Discussion Papers 4851, C.E.P.R. Discussion Papers.
- Victor Chernozhukov & Iván Fernández‐Val & Blaise Melly, 2013.
"Inference on Counterfactual Distributions,"
Econometrica, Econometric Society, vol. 81(6), pages 2205-2268, November.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2008. "Inference On Counterfactual Distributions," Boston University - Department of Economics - Working Papers Series wp2008-005, Boston University - Department of Economics.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2012. "Inference on counterfactual distributions," CeMMAP working papers 05/12, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2013. "Inference on counterfactual distributions," CeMMAP working papers 17/13, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2013. "Inference on counterfactual distributions," CeMMAP working papers CWP17/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2009. "Inference on counterfactual distributions," CeMMAP working papers CWP09/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2009. "Inference on Counterfactual Distributions," Papers 0904.0951, arXiv.org, revised Sep 2013.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2009. "Inference on counterfactual distributions," CeMMAP working papers 09/09, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2012. "Inference on counterfactual distributions," CeMMAP working papers CWP05/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2006.
"Moving the Goalposts: Addressing Limited Overlap in the Estimation of Average Treatment Effects by Changing the Estimand,"
NBER Technical Working Papers
0330, National Bureau of Economic Research, Inc.
- Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2006. "Moving the Goalposts: Addressing Limited Overlap in Estimation of Average Treatment Effects by Changing the Estimand," Working Papers 0608, University of Miami, Department of Economics.
- Crump, Richard K. & Hotz, V. Joseph & Imbens, Guido W. & Mitnik, Oscar A., 2006. "Moving the Goalposts: Addressing Limited Overlap in Estimation of Average Treatment Effects by Changing the Estimand," IZA Discussion Papers 2347, Institute of Labor Economics (IZA).
- Halbert White & Karim Chalak, 2013. "Identification and Identification Failure for Treatment Effects Using Structural Systems," Econometric Reviews, Taylor & Francis Journals, vol. 32(3), pages 273-317, November.
- Gevrek, Z. Eylem & Gevrek, Deniz & Neumeier, Christian, 2020. "Explaining the gender gaps in mathematics achievement and attitudes: The role of societal gender equality," Economics of Education Review, Elsevier, vol. 76(C).
More about this item
Keywords
Matching; inverse-of-selection-probability weighting; treatment evaluation; unconfoundedness;All these keywords.
JEL classification:
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ECM-2007-10-20 (Econometrics)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:usg:dp2007:2007-34. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joerg Baumberger The email address of this maintainer does not seem to be valid anymore. Please ask Joerg Baumberger to update the entry or send us the correct address (email available below). General contact details of provider: https://edirc.repec.org/data/vwasgch.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.