IDEAS home Printed from https://ideas.repec.org/r/nbr/nberte/0148.html
   My bibliography  Save this item

The Mixing Problem in Program Evaluation

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Mattoo, Aaditya & Cadot, Olivier & Gourdon, Julien & Fernandes, Ana Margarida, 2011. "Impact Evaluation of Trade Interventions: Paving the Way," CEPR Discussion Papers 8638, C.E.P.R. Discussion Papers.
  2. Manski, Charles F., 2000. "Identification problems and decisions under ambiguity: Empirical analysis of treatment response and normative analysis of treatment choice," Journal of Econometrics, Elsevier, vol. 95(2), pages 415-442, April.
  3. Caliendo, Marco & Steiner, Viktor, 2005. "Aktive Arbeitsmarktpolitik in Deutschland : Bestandsaufnahme und Bewertung der mikroökonomischen Evaluationsergebnisse (Active labour market policy in Germany * review ans assessment of the microecono," Zeitschrift für ArbeitsmarktForschung - Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 38(2/3), pages 396-418.
  4. Guido W. Imbens & Whitney K. Newey, 2009. "Identification and Estimation of Triangular Simultaneous Equations Models Without Additivity," Econometrica, Econometric Society, vol. 77(5), pages 1481-1512, September.
  5. Caliendo, Marco & Steiner, Viktor, 2005. "Aktive Arbeitsmarktpolitik in Deutschland : Bestandsaufnahme und Bewertung der mikroökonomischen Evaluationsergebnisse (Active labour market policy in Germany * review ans assessment of the microecono," Zeitschrift für ArbeitsmarktForschung - Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 38(2/3), pages 396-418.
  6. Vishal Kamat, 2017. "Identifying the Effects of a Program Offer with an Application to Head Start," Papers 1711.02048, arXiv.org, revised Aug 2023.
  7. Kobus, Martyna & Kurek, Radosław, 2018. "Copula-based measurement of interdependence for discrete distributions," Journal of Mathematical Economics, Elsevier, vol. 79(C), pages 27-39.
  8. Charles F. Manski, 2001. "Designing Programs for Heterogeneous Populations: The Value of Covariate Information," American Economic Review, American Economic Association, vol. 91(2), pages 103-106, May.
  9. Vishal Kamat, 2018. "On the Identifying Content of Instrument Monotonicity," Papers 1807.01661, arXiv.org, revised Oct 2019.
  10. Yanqin Fan & Sang Soo Park, 2009. "Partial identification of the distribution of treatment effects and its confidence sets," Advances in Econometrics, in: Nonparametric Econometric Methods, pages 3-70, Emerald Group Publishing Limited.
  11. Doerr Annabelle & Strittmatter Anthony, 2021. "Identifying Causal Channels of Policy Reforms with Multiple Treatments and Different Types of Selection," Journal of Econometric Methods, De Gruyter, vol. 10(1), pages 67-88, January.
  12. 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.
  13. Sergio Firpo & Cristine Pinto, 2016. "Identification and Estimation of Distributional Impacts of Interventions Using Changes in Inequality Measures," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(3), pages 457-486, April.
  14. Charles F. Manski & John Newman & John V. Pepper, 2002. "Using Performance Standards to Evaluate Social Programs with Incomplete Outcome Data," Evaluation Review, , vol. 26(4), pages 355-381, August.
  15. Marco Caliendo & Reinhard Hujer & Stephan Thomsen, 2008. "Identifying effect heterogeneity to improve the efficiency of job creation schemes in Germany," Applied Economics, Taylor & Francis Journals, vol. 40(9), pages 1101-1122.
  16. Tomas Philipson, 1999. "External Treatment Effects and Program Implementation Bias," Working Papers 9929, Harris School of Public Policy Studies, University of Chicago.
  17. V. Joseph Hotz & Guido W. Imbens & Julie H. Mortimer, 1999. "Predicting the Efficacy of Future Training Programs Using Past Experiences," NBER Technical Working Papers 0238, National Bureau of Economic Research, Inc.
  18. C. F. Manski, "undated". "Learning about social programs from experiments with random assignment of treatments," Institute for Research on Poverty Discussion Papers 1061-95, University of Wisconsin Institute for Research on Poverty.
  19. Sergio Firpo, 2007. "Efficient Semiparametric Estimation of Quantile Treatment Effects," Econometrica, Econometric Society, vol. 75(1), pages 259-276, January.
  20. Eric Auerbach & Yong Cai, 2022. "Heterogeneous Treatment Effects for Networks, Panels, and other Outcome Matrices," Papers 2205.01246, arXiv.org, revised Oct 2022.
  21. Eric Auerbach & Yong Cai, 2023. "Identifying Socially Disruptive Policies," Papers 2306.15000, arXiv.org, revised Jun 2023.
  22. Caliendo, Marco & Steiner, Viktor, 2005. "Aktive Arbeitsmarktpolitik in Deutschland : Bestandsaufnahme und Bewertung der mikroökonomischen Evaluationsergebnisse (Active labour market policy in Germany * review ans assessment of the microecono," Zeitschrift für ArbeitsmarktForschung - Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 38(2/3), pages 396-418.
  23. Craig Gundersen & Brent Kreider & John Pepper & Valerie Tarasuk, 2017. "Food assistance programs and food insecurity: implications for Canada in light of the mixing problem," Empirical Economics, Springer, vol. 52(3), pages 1065-1087, May.
  24. Nathan Kallus, 2022. "What's the Harm? Sharp Bounds on the Fraction Negatively Affected by Treatment," Papers 2205.10327, arXiv.org, revised Nov 2022.
  25. Manski, Charles F., 2013. "Public Policy in an Uncertain World: Analysis and Decisions," Economics Books, Harvard University Press, number 9780674066892, Spring.
  26. 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.
  27. Marco Caliendo & Viktor Steiner, 2005. "Aktive Arbeitsmarktpolitik in Deutschland: Bestandsaufnahme und Bewertung der mikroökonomischen Evaluationsergebnisse," Discussion Papers of DIW Berlin 515, DIW Berlin, German Institute for Economic Research.
  28. Charles F. Manski, 1999. "Statistical Treatment Rules for Heterogeneous Populations: With Application to Randomized Experiments," NBER Technical Working Papers 0242, National Bureau of Economic Research, Inc.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.