The performance of estimators based on the propensity score

Abadie, 2005, Semiparametric difference-in-difference estimators, Review of Economic Studies, 72, 1, 10.1111/0034-6527.00321 Abadie, A., Imbens, G.W., 2002. Simple and bias-corrected matching estimators for average treatment effects, NBER Technical Working Paper 283. Abadie, 2006, Large sample properties of matching estimators for average treatment effects, Econometrica, 74, 235, 10.1111/j.1468-0262.2006.00655.x Abadie, 2008, On the failure of the bootstrap for matching estimators, Econometrica, 76, 1537, 10.3982/ECTA6474 Abadie, A., Imbens, G.W., 2009. Matching on the estimated propensity score, NBER Working Paper 15301. Angrist, 1998, Estimating the labor market effects of voluntary military service using social security data on military applicants, Econometrica, 66, 249, 10.2307/2998558 Angrist, 2004, When to control for covariates? panel-asymptotic results for estimates of treatment effects, Review of Economics and Statistics, 86, 58, 10.1162/003465304323023679 Angrist, 2009 Augurzky, 2007, Assessing the performance of matching algorithms when selection into treatment is strong, Journal of Applied Econometrics, 22, 533, 10.1002/jae.919 Bang, 2005, Doubly robust estimation in missing data and causal inference models, Biometrics, 61, 962, 10.1111/j.1541-0420.2005.00377.x Behncke, 2010, Unemployed and their case workers: should they be friends or foes?, The Journal of the Royal Statistical Society - Series A, 173, 67, 10.1111/j.1467-985X.2009.00600.x Behncke, 2010, A caseworker like me - does the similarity between unemployed and caseworker increase job placements?, The Economic Journal, 1430, 10.1111/j.1468-0297.2010.02382.x Bertrand, 2004, How much should we trust differences-in-differences estimates, Quarterly Journal of Economics, 249, 10.1162/003355304772839588 Blundell, 2009, Alternative approaches to evaluation in empirical microeconomics, Journal of Human Resources, 44, 565, 10.1353/jhr.2009.0009 Blundell, 2004, Evaluating the employment impact of a mandatory job search program, Journal of the European Economic Association, 2, 569, 10.1162/1542476041423368 Busso, M., DiNardo, J., McCrary, J., 2009. Finite sample properties of semiparametric estimators of average treatment effects, The Journal of Business and Economic Statistics (forthcoming). Busso, M., DiNardo, J., McCrary, J., 2009. New evidence on the finite sample properties of propensity score matching and reweighting estimators, IZA discussion paper, 3998. Caliendo, 2006, Sectoral heterogeneity in the employment effects of job creation schemes in Germany, Journal of Economics and Statistics, 226, 139 Caliendo, 2008, The employment effects of job creation schemes in Germany–a microeconometric evaluation, 383, 10.1016/S0731-9053(07)00013-8 Caliendo, 2008, Identifying effect heterogeneity to improve the efficiency of job creation schemes in Germany, Applied Economics, 40, 1101, 10.1080/00036840500438897 Card, 2010, Active labour market policy evaluations: a meta-analysis, Economic Journal, 120, F452, 10.1111/j.1468-0297.2010.02387.x Chen, 2007, Large sample sieve estimation of semi-nonparametric models, vol. 6B, 5549 Chen, X., Hong, H., Tarozzi, A., 2008. Semiparametric efficiency in gmm models of nonclassical measurement errors, missing data and treatment effects, Cowles Foundation Discussion Paper No. 1644; shorter version published as Semiparametric Efficiency in GMM Models with Auxiliary Data, The Annals of Statistics, 36, 808–843. Crump, 2009, Dealing with limited overlap in estimation of average treatment effects, Biometrika, 96, 187, 10.1093/biomet/asn055 Dehejia, 2005, Practical propensity score estimation: a reply to Smith and Todd, Journal of Econometrics, 125, 355, 10.1016/j.jeconom.2004.04.012 Dehejia, 1999, Causal effects in non-experimental studies: reevaluating the evaluation of training programmes, SAT Journal of the American Statistical Association, 94, 1053, 10.1080/01621459.1999.10473858 Dehejia, 2002, Propensity score-matching methods for nonexperimental causal studies, Review of Economics and Statistics, 84, 151, 10.1162/003465302317331982 Diamond, 2008, Genetic matching for estimating causal effects: a general multivariate matching method for achieving balance in observational studies, Mimeo DiNardo, 1996, Labor market institutions and the distribution of wages, 1973–1992: a semiparametric approach, Econometrica, 64, 1001, 10.2307/2171954 Drake, 1993, Effects of misspecification of the propensity score on estimators of treatment effect, Biometrics, 49, 1231, 10.2307/2532266 Fan, 1992, Design-adaptive nonparametric regression, SAT Journal of the American Statistical Association, 87, 998, 10.1080/01621459.1992.10476255 Flores, 2009, Evaluating nonexperimental estimators for multiple treatments: evidence from experimental data, Mimeo Frölich, 2004, Finite-sample properties of propensity-score matching and weighting estimators, Review of Economics and Statistics, 86, 77, 10.1162/003465304323023697 Frölich, 2005, Matching estimators and optimal bandwidth choice, Statistics and Computing, 15, 197, 10.1007/s11222-005-1309-6 Frölich, 2007, Nonparametric IV estimation of local average treatment effects with covariates, Journal of Econometrics, 139, 35, 10.1016/j.jeconom.2006.06.004 Frölich, 2007, Nonparametric regression for binary dependent variables, Econometrics Journal, 9, 511, 10.1111/j.1368-423X.2006.00196.x Galdo, 2008, Bandwidth selection and the estimation of treatment effects with unbalanced data, Annales d’Économie et de Statistique, 91–92, 189, 10.2307/27917245 Gerfin, 2002, Microeconometric evaluation of the active labour market policy in Switzerland, The Economic Journal, 112, 854, 10.1111/1468-0297.00072 Glynn, 2010, An introduction to the augmented inverse propensity weighted estimator, Political Analysis, 18, 36, 10.1093/pan/mpp036 Graham, B.S., Pinto, C., Egel, D., 2011. Efficient Estimation of Data Combination Models by the Method of Auxiliary-to-Study Tilting (AST), NBER Working Paper No. 16928. Graham, 2012, Inverse probability tilting for moment condition models with missing data, Review of Economic Studies, 79, 1053, 10.1093/restud/rdr047 Hahn, 1998, On the role of the propensity score in efficient semiparametric estimation of average treatment effects, Econometrica, 66, 315, 10.2307/2998560 Hansen, 1982, Large sample properties of generalized methods of moments estimators, Econometrica, 50, 1029, 10.2307/1912775 Hansen, 2004, Full matching in an observational study of coaching for the sat, SAT Journal of the American Statistical Association, 99, 609, 10.1198/016214504000000647 Hall, 2004, Cross-validation and the estimation of conditional probability densities, SAT Journal of the American Statistical Association, 99, 1015, 10.1198/016214504000000548 Heckman, 1976, The common structure of statistical models of truncation, sample selection and limited dependent variables and a simple estimator for such models, Annals of Economic and Social Measurement, 5, 475 Heckman, 1998, Matching as an econometric evaluation estimator, Review of Economic Studies, 65, 261, 10.1111/1467-937X.00044 Heckman, 1998, Characterizing selection bias using experimental data, Econometrica, 66, 1017, 10.2307/2999630 Heckman, J.J., LaLonde, R., Smith, J.A., 1999. The economics and econometrics of active labor market programs, in: O. Ashenfelter, D. Card (Eds.), Handbook of Labour Economics, vol. 3, Amsterdam, North-Holland, pp. 1865–2097. Hill, J.B., Renault, E., 2010. generalized method of moments with tail trimming, mimeo, Dept. of Economics, University of North Carolina - Chapel Hill. Hirano, 2001, Estimation of causal effects using propensity score weighting: an application of data on right ear catheterization, Health Services and Outcomes Research Methodology, 2, 259, 10.1023/A:1020371312283 Hirano, 2003, Efficient estimation of average treatment effects using the estimated propensity score, Econometrica, 2003, 1161, 10.1111/1468-0262.00442 Ho, 2007, Matching as nonparametric preprocessing for reducing model dependence in parametric causal inference, Political Analysis, 15, 199, 10.1093/pan/mpl013 Horvitz, 1952, A generalization of sampling without replacement from a finite population, SAT Journal of the American Statistical Association, 47, 663, 10.1080/01621459.1952.10483446 Huber, 2009 Huber, 2011, Testing for covariate balance using quantile regression and resampling methods, Journal of Applied Statistics, 38, 2881, 10.1080/02664763.2011.570323 Huber, 2011, Does leaving welfare improve health? evidence for Germany, Health Economics, 20, 484, 10.1002/hec.1615 Hujer, 2010, How do employment effects of job creation schemes differ with respect to the foregoing unemployment duration?, Labour Economics, 17, 38, 10.1016/j.labeco.2009.07.001 Hujer, 2004, New evidence on the effects of job creation schemes in Germany—a matching approach with threefold heterogeneity, Research in Economics, 58, 257, 10.1016/j.rie.2004.07.001 Hujer, 2006, The effects of vocational training programmes on the duration of unemployment in eastern Germany, AStA Advances in Statistical Analysis, 90, 299, 10.1007/s10182-006-0235-z Imbens, 2004, Nonparametric estimation of average treatment effects under exogeneity: a review, Review of Economics and Statistics, 86, 4, 10.1162/003465304323023651 Imbens, 2009, Recent developments in the econometrics of program evaluation, Journal of Economic Literature, 47, 5, 10.1257/jel.47.1.5 Imbens, G.W., Newey, W., Ridder, G., 2006. Mean-squared-error calculations for average treatment effects, IRP discussion paper. Jacob, B.A., Ludwig, J., Smith, J., 2009, Estimating neighborhood effects on low-income youth, mimeo. Kahn, S., Tamer, E., 2009. irregular identification, support conditions, and inverse weight estimation, mimeo. Kang, 2007, Demystifying double robustness: a comparison of alternative strategies for estimating a population mean from incomplete data, Statistical Science, 22, 523, 10.1214/07-STS227 King, Gary, Nielsen, R., Coberley, C., Pope, J.E., Wells, Aaron, 2011. Comparative effectiveness of matching methods for causal inference, mimeo, Harvard University. Khwaja, 2010, A comparison of treatment effects estimators using a structural model of AMI treatment choices and severity of illness information from hospital charts, Journal of Applied Econometrics Kline, 2011, Oaxaca-Blinder as a reweighting estimator, American Economic Review: Papers & Proceedings, 101, 532, 10.1257/aer.101.3.532 LaLonde, 1986, Evaluating the econometric evaluations of training programs with experimental data, American Economic Review, 76, 604 Lechner, 1999, Earnings and employment effects of continuous off-the-job training in east Germany after unification, Journal of Business & Economic Statistics, 17, 74 Lechner, 2000, An evaluation of public sector sponsored continuous vocational training programs in east Germany, The Journal of Human Resources, 35, 347, 10.2307/146329 Lechner, 2008, A note on the common support problem in applied evaluation studies, Annales d’Économie et de Statistique, 91–92, 217, 10.2307/27917246 Lechner, 2009, Long-run labour market and health effects of individual sports activities, The Journal of Health Economics, 28, 839, 10.1016/j.jhealeco.2009.05.003 Lechner, M., 2010. The estimation of causal effects by difference-in-difference methods, Discussion paper, Economics Department, University of St. Gallen. Lechner, 2009, Active labour market policy in east Germany: waiting for the economy to take off, Economics of Transition, 17, 661, 10.1111/j.1468-0351.2009.00362.x Lechner, 2009, Are training programs more effective when unemployment is high?, Journal of Labor Economics, 27, 653, 10.1086/644976 Lechner, 2011, Long-run effects of public sector sponsored training in west Germany, Journal of the European Economic Association, 9, 742, 10.1111/j.1542-4774.2011.01029.x Lee, S., Whang, Y.-J., 2009. Nonparametric tests of conditional treatment effects, Cowles Foundation Discussion Paper 1740. Lunceford, 2004, Stratification and weighting via the propensity score in estimation of causal treatment effects, Statistics in Medicine, 23, 2937, 10.1002/sim.1903 Millimet, 2009, On the specification of propensity scores, with applications to the analysis of trade policies, Journal of Business & Economic Statistics, 27, 297, 10.1198/jbes.2009.06045 Newey, 1984, A method of moments interpretation of sequential estimators, Economics Letters, 14, 201, 10.1016/0165-1765(84)90083-1 Plesca, 2007, Evaluating multi-treatment programs: theory and evidence from the U.S. job training partnership act, Empirical Economics, 32, 491, 10.1007/s00181-006-0095-0 Robins, 1994, Estimation of regression coefficients when some regressors are not always observed, SAT Journal of the American Statistical Association, 89, 846, 10.1080/01621459.1994.10476818 Robins, 1995, Semiparametric efficiency in multivariate regression models with missing data, SAT Journal of the American Statistical Association, 90, 122, 10.1080/01621459.1995.10476494 Robins, 1992, Estimating exposure effects by modelling the expectation of exposure conditional on confounders, Biometrics, 48, 479, 10.2307/2532304 Rosenbaum, 1983, The central role of the propensity score in observational studies for causal effects, Biometrika, 70, 41, 10.1093/biomet/70.1.41 Rosenbaum, 1985, Constructing a control group using multivariate matched sampling methods that incorporate the propensity score, The American Statistician, 39, 33 Rubin, 1974, Estimating causal effects of treatments in randomized and nonrandomized studies, Journal of Educational Psychology, 66, 688, 10.1037/h0037350 Rubin, 1979, Using multivariate matched sampling and regression adjustment to control bias in observational studies, SAT Journal of the American Statistical Association, 74, 318 Scharfstein, 1999, Adjusting for nonignorable drop-out using semiparametric nonresponse models, SAT Journal of the American Statistical Association, 94, 1096, 10.1080/01621459.1999.10473862 Seifert, 1996, Finite-sample variance of local polynomials: analysis and solutions, SAT Journal of the American Statistical Association, 91, 267, 10.1080/01621459.1996.10476685 Seifert, 2000, Data adaptive ridging in local polynomial regression, Journal of Computational and Graphical Statistics, 9, 338 Silverman, 1986, 10.1007/978-1-4899-3324-9 Smith, 2005, Does matching overcome lalonde’s critique of nonexperimental estimators?, Journal of Econometrics, 125, 305, 10.1016/j.jeconom.2004.04.011 Stigler, 1977, Do robust estimators work with real data, Annals of Statistics, 5, 1055, 10.1214/aos/1176343997 Wooldridge, 2007, Inverse probability weighted estimation for general missing data problems, Journal of Econometrics, 141, 1281, 10.1016/j.jeconom.2007.02.002 Wunsch, 2008, What did all the money do? on the general ineffectiveness of recent west German labour market programmes, Kyklos, 61, 134, 10.1111/j.1467-6435.2008.00396.x Zhao, 2004, Using matching to estimate treatment effects: data requirements, matching metric and a monte carlo study, The Review of Economics and Statistics, 86, 91, 10.1162/003465304323023705 Zhao, Z., 2006. Matching estimators and the data from the national supported work demonstration again, IZA Discussion Paper No. 2375. Zhao, 2008, Sensitivity of propensity score methods to the specifications, Economics Letters, 98, 309, 10.1016/j.econlet.2007.05.010