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Citations for "Predicting the Efficacy of Future Training Programs Using Past Experiences"

by V. Joseph Hotz & Guido W. Imbens & Julie H. Mortimer

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1. Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2006. "Nonparametric Tests for Treatment Effect Heterogeneity," NBER Technical Working Papers 0324, National Bureau of Economic Research, Inc.
   
   • Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2008. "Nonparametric Tests for Treatment Effect Heterogeneity," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 389-405, August.
   • Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2006. "Nonparametric Tests for Treatment Effect Heterogeneity," Working Papers 0609, University of Miami, Department of Economics.
   • Mitnik, Oscar K. & Imbens, Guido & Hotz, V. Joseph & Crump, Richard K., 2008. "Nonparametric Tests for Treatment Effect Heterogeneity," Scholarly Articles 3039049, Harvard University Department of Economics.
   • Crump, Richard K. & Hotz, V. Joseph & Imbens, Guido W. & Mitnik, Oscar A., 2006. "Nonparametric Tests for Treatment Effect Heterogeneity," IZA Discussion Papers 2091, Institute for the Study of Labor (IZA).
2. Guido W. Imbens, 2010. "Better LATE Than Nothing: Some Comments on Deaton (2009) and Heckman and Urzua (2009)," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 399-423, June.
   
   • Guido W. Imbens, 2009. "Better LATE Than Nothing: Some Comments on Deaton (2009) and Heckman and Urzua (2009)," NBER Working Papers 14896, National Bureau of Economic Research, Inc.
3. Sarah Brown & Karl Taylor, 2008. "Reservation Wages, Expected Wages and Labour Market Outcomes: Analysis of Individual Level Panel Data," Working Papers 2008008, The University of Sheffield, Department of Economics, revised Jul 2008.
4. Weili Ding & Steven Lehrer, 2005. "Class Size and Student Achievement: Experimental Estimates of Who Benefits and Who Loses from Reductions," Working Papers 1046, Queen's University, Department of Economics.
5. Rajeev Dehejia, 2000. "Was There a Riverside Miracle? A Framework for Evaluating Multi-Site Programs," NBER Working Papers 7844, National Bureau of Economic Research, Inc.
6. 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.
   
   • Flores, Carlos A. & Mitnik, Oscar A., 2009. "Evaluating Nonexperimental Estimators for Multiple Treatments: Evidence from Experimental Data," IZA Discussion Papers 4451, Institute for the Study of Labor (IZA).
   • 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.
7. Larsson, Laura & Lindqvist, Linus & Nordström Skans, Oskar, 2005. "Stepping-stones or dead-ends? An analysis of Swedish replacement contracts," Working Paper Series 2005:18, IFAU - Institute for Evaluation of Labour Market and Education Policy.
8. Guido Imbens, 2000. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," Econometric Society World Congress 2000 Contributed Papers 1166, Econometric Society.
   
   • Keisuke Hirano & Guido W. Imbens & Geert Ridder, 2003. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," Econometrica, Econometric Society, vol. 71(4), pages 1161-1189, 07.
   • Keisuke Hirano & Guido W. Imbens & Geert Ridder, 2000. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," NBER Technical Working Papers 0251, National Bureau of Economic Research, Inc.
9. Guido Imbens & Jeffrey 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.
   
   • 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.
   • Imbens, Guido W. & Wooldridge, Jeffrey M., 2008. "Recent Developments in the Econometrics of Program Evaluation," IZA Discussion Papers 3640, Institute for the Study of Labor (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.
10. Guido W. Imbens & Donald B. Rubin & Bruce Sacerdote, 1999. "Estimating the Effects of Unearned Income on Labor Supply, Earnings, Savings, and Consumption: Evidence from a Survey of Lottery Players," NBER Working Papers 7001, National Bureau of Economic Research, Inc.
11. V. Joseph Hotz & Guido W. Imbens & Jacob A. Klerman, 2006. "Evaluating the Differential Effects of Alternative Welfare-to-Work Training Components: A Re-Analysis of the California GAIN Program," NBER Working Papers 11939, National Bureau of Economic Research, Inc.
    
    • V. Joseph Hotz & Guido W. Imbens & Jacob A. Klerman, 2006. "Evaluating the Differential Effects of Alternative Welfare-to-Work Training Components: A Reanalysis of the California GAIN Program," Journal of Labor Economics, University of Chicago Press, vol. 24(3), pages 521-566, July.
12. Rajeev Dehejia, 1999. "Program Evaluation as a Decision Problem," NBER Working Papers 6954, National Bureau of Economic Research, Inc.
    
    • Dehejia, Rajeev H., 2005. "Program evaluation as a decision problem," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 141-173.
    • Rajeev H. Dehejia, 2002. "Program evaluation as a decision problem," Discussion Papers 0102-23, Columbia University, Department of Economics.
13. Sarah Brown & Karl Taylor, 2008. "Expectations, Reservation Wages And Employment: Evidence From British Panel Data," Working Papers 2008007, The University of Sheffield, Department of Economics, revised May 2008.
14. V. Joseph Hotz & Guido W. Imbens & Jacob A. Klerman, 2001. "The Long-Term Gains from GAIN: A Re-Analysis of the Impacts of the California GAIN Program," Working Papers 01-03, RAND Corporation Publications Department.
    
    • V. Joseph Hotz & Guido W. Imbens & Jacob A. Klerman, 2000. "The Long-Term Gains from GAIN: A Re-Analysis of the Impacts of the California GAIN Program," NBER Working Papers 8007, National Bureau of Economic Research, Inc.
15. Jennifer Hill & Jane Waldfogel & Jeanne Brooks-Gunn, 2002. "Differential effects of high-quality child care," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 21(4), pages 601-627.
16. Carlos A. Flores & Oscar A. Mitnik, 2011. "Comparing Treatments across Labor Markets: An Assessment of Nonexperimental Multiple-Treatment Strategies," Working Papers 2011-10, University of Miami, Department of Economics.
17. Robert A. Moffitt, 2003. "The Role of Randomized Field Trials in Social Science Research: A Perspective from Evaluations of Reforms of Social Welfare Programs," NBER Technical Working Papers 0295, National Bureau of Economic Research, Inc.
    
    • Robert Moffitt, 2002. "The role of randomized field trials in social science research: a perspective from evaluations of reforms of social welfare programs," CeMMAP working papers CWP23/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
18. Laura Hartman & Linus Liljeberg & Oskar Skans, 2010. "Stepping-stones, dead-ends, or both? An analysis of Swedish replacement contracts," Empirical Economics, Springer, vol. 38(3), pages 645-668, June.
19. John V. Pepper, 1999. "What Do Welfare-to-Work Demonstrations Reveal to Welfare Reformers?," Virginia Economics Online Papers 317, University of Virginia, Department of Economics.
    
    • John V. Pepper, 1999. "What Do Welfare-to-Work Demonstrations Reveal to Welfare Reformers?," JCPR Working Papers 105, Northwestern University/University of Chicago Joint Center for Poverty Research.
20. Christopher Ferrall, 2002. "Estimation and Inference in Social Experiments," General Economics and Teaching 0209001, EconWPA.
21. Alberto Abadie & Guido W. Imbens, 2002. "Simple and Bias-Corrected Matching Estimators for Average Treatment Effects," NBER Technical Working Papers 0283, National Bureau of Economic Research, Inc.
22. Imbens, G.W. & Rubin, D. & Sacerdote, B., 1999. "Estimating the effect of unearned income on labor supply, earnings, savings and consumption: Evidence from a survey of lottery players," Discussion Paper 99.34, Tilburg University, Center for Economic Research.
23. Dehejia, Rajeev H, 2003. "Was There a Riverside Miracle? A Hierarchical Framework for Evaluating Programs with Grouped Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(1), pages 1-11, January.
    
    • Rajeev H. Dehejia, 2002. "Was there a Riverside miracle? An hierarchical framework for evaluating programs with grouped data," Discussion Papers 0102-15, Columbia University, Department of Economics.
24. Brown, Sarah & Taylor, Karl, 2011. "Reservation wages, market wages and unemployment: Analysis of individual level panel data," Economic Modelling, Elsevier, vol. 28(3), pages 1317-1327, May.

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