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Estimating the Effects of Length of Exposure to Instruction in a Training Program: The Case of Job Corps

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Cited by:

  1. Noémi Kreif & Richard Grieve & Iván Díaz & David Harrison, 2015. "Evaluation of the Effect of a Continuous Treatment: A Machine Learning Approach with an Application to Treatment for Traumatic Brain Injury," Health Economics, John Wiley & Sons, Ltd., vol. 24(9), pages 1213-1228, September.
  2. Fitzenberger, Bernd & Osikominu, Aderonke & Paul, Marie, 2023. "The effects of training incidence and planned training duration on labor market transitions," Journal of Econometrics, Elsevier, vol. 235(1), pages 256-279.
  3. Ying-Ying Lee, 2018. "Partial Mean Processes with Generated Regressors: Continuous Treatment Effects and Nonseparable Models," Papers 1811.00157, arXiv.org.
  4. Kyle Colangelo & Ying-Ying Lee, 2020. "Double Debiased Machine Learning Nonparametric Inference with Continuous Treatments," Papers 2004.03036, arXiv.org, revised Sep 2023.
  5. Prifti, Ervin & Estruch, Elisenda & Daidone, Silvio & Davis, Benjamin, 2019. "How much is too much: Does the size of income support transfers affect labor supply?," Journal of Policy Modeling, Elsevier, vol. 41(1), pages 179-196.
  6. Kyle Colangelo & Ying-Ying Lee, 2019. "Double debiased machine learning nonparametric inference with continuous treatments," CeMMAP working papers CWP72/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  7. Michela Bia & Carlos A. Flores & Alfonso Flores-Lagunes & Alessandra Mattei, 2014. "A Stata package for the application of semiparametric estimators of dose–response functions," Stata Journal, StataCorp LP, vol. 14(3), pages 580-604, September.
  8. Steckenleiter, Carina & Lechner, Michael & Pawlowski, Tim & Schüttoff, Ute, 2019. "Do local public expenditures on sports facilities affect sports participation in Germany?," Economics Working Paper Series 1905, University of St. Gallen, School of Economics and Political Science.
  9. Paweł Charasz & Jan P Vogler, 2021. "Does EU funding improve local state capacity? Evidence from Polish municipalities," European Union Politics, , vol. 22(3), pages 446-471, September.
  10. Wooyoung Kim & Koohyun Kwon & Soonwoo Kwon & Sokbae Lee, 2018. "The identification power of smoothness assumptions in models with counterfactual outcomes," Quantitative Economics, Econometric Society, vol. 9(2), pages 617-642, July.
  11. Wooyoung Kim & Koohyun Kwon & Soonwoo Kwon & Sokbae (Simon) Lee, 2014. "The identification power of smoothness assumptions in models with counterfactual outcomes," CeMMAP working papers 17/14, Institute for Fiscal Studies.
  12. Mehdi Chowdhury & Dragana Radicic, 2019. "Remittances and Asset Accumulation in Bangladesh: A Study Using Generalised Propensity Score," Journal of International Development, John Wiley & Sons, Ltd., vol. 31(6), pages 475-494, August.
  13. Zachary K. Collier & Walter L. Leite & Allison Karpyn, 2021. "Neural Networks to Estimate Generalized Propensity Scores for Continuous Treatment Doses," Evaluation Review, , vol. 45(1-2), pages 3-33, February.
  14. Ulf Rinne & Arne Uhlendorff & Zhong Zhao, 2013. "Vouchers and caseworkers in training programs for the unemployed," Empirical Economics, Springer, vol. 45(3), pages 1089-1127, December.
  15. María laura Alzúa & Guillermo Cruces & Carolina Lopez, 2016. "Long-Run Effects Of Youth Training Programs: Experimental Evidence From Argentina," Economic Inquiry, Western Economic Association International, vol. 54(4), pages 1839-1859, October.
  16. Maibom, Jonas & Rosholm, Michael & Svarer, Michael, 2014. "Can Active Labour Market Policies Combat Youth Unemployment?," IZA Discussion Papers 7912, Institute of Labor Economics (IZA).
  17. Zoltán Bakucs & Imre Fertő & Zsófia Benedek, 2019. "Success or Waste of Taxpayer Money? Impact Assessment of Rural Development Programs in Hungary," Sustainability, MDPI, vol. 11(7), pages 1-23, April.
  18. Kluve, Jochen & Schneider, Hilmar & Uhlendorff, Arne & Zhao, Zhong, 2012. "Evaluating continuous training programmes by using the generalized propensity score," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 175(2), pages 587-617.
  19. Anders Stenberg & Olle Westerlund, 2015. "The long-term earnings consequences of general vs. specific training of the unemployed," IZA Journal of European Labor Studies, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-26, December.
  20. Chiara Bocci & Marco Mariani, 2015. "L?approccio delle funzioni dose-risposta per la valutazione di trattamenti continui nei sussidi alla r&s," SCIENZE REGIONALI, FrancoAngeli Editore, vol. 2015(3 Suppl.), pages 81-102.
  21. Yuya Sasaki & Takuya Ura & Yichong Zhang, 2022. "Unconditional quantile regression with high‐dimensional data," Quantitative Economics, Econometric Society, vol. 13(3), pages 955-978, July.
  22. Phillip Heiler & Michael C. Knaus, 2021. "Effect or Treatment Heterogeneity? Policy Evaluation with Aggregated and Disaggregated Treatments," Papers 2110.01427, arXiv.org, revised Aug 2023.
  23. Tübbicke Stefan, 2022. "Entropy Balancing for Continuous Treatments," Journal of Econometric Methods, De Gruyter, vol. 11(1), pages 71-89, January.
  24. Egger, Peter H. & Ehrlich, Maximilian v. & Nelson, Douglas R., 2020. "The trade effects of skilled versus unskilled migration," Journal of Comparative Economics, Elsevier, vol. 48(2), pages 448-464.
  25. Egger, Peter & ,, 2019. "Heterogeneous Effects of Tariff and Non-tariff Trade-Policy Barriers in Quantitative General Equilibrium," CEPR Discussion Papers 13602, C.E.P.R. Discussion Papers.
  26. Enrico Cristofoletti, 2021. "A Stata package for the estimation of the dose-response function when the treatment is multidimensional," DEM Working Papers 2021/07, Department of Economics and Management.
  27. German Blanco & Xuan Chen & Carlos A. Flores & Alfonso Flores-Lagunes, 2020. "Bounds on Average and Quantile Treatment Effects on Duration Outcomes Under Censoring, Selection, and Noncompliance," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(4), pages 901-920, October.
  28. Brantly Callaway & Weige Huang, 2020. "Distributional Effects of a Continuous Treatment with an Application on Intergenerational Mobility," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(4), pages 808-842, August.
  29. Alejo, Javier & Galvao, Antonio F. & Montes-Rojas, Gabriel, 2018. "Quantile continuous treatment effects," Econometrics and Statistics, Elsevier, vol. 8(C), pages 13-36.
  30. Martina Lubyová & Miroslav Štefánik & Pavol Baboš & Daniel Gerbery & Veronika Hvozdíková & Katarína Karasová & Ivan Lichner & Tomáš Miklošovic & Marek Radvanský & Eva Rublíková & Ivana Studená, . "Labour Market in Slovakia 2017+," Books, Institute of Economic Research, Slovak Academy of Sciences, edition 1, number 003.
  31. Girma, Sourafel & Görg, Holger & Stepanok, Ignat, 2020. "Subsidies, spillovers and exports," Economics Letters, Elsevier, vol. 186(C).
  32. Brantly Callaway & Andrew Goodman-Bacon & Pedro H. C. Sant'Anna, 2021. "Difference-in-Differences with a Continuous Treatment," Papers 2107.02637, arXiv.org, revised Jan 2024.
  33. Brantly Callaway & Tong Li & Irina Murtazashvili, 2021. "Nonlinear Approaches to Intergenerational Income Mobility allowing for Measurement Error," Papers 2107.09235, arXiv.org, revised Dec 2021.
  34. Chen, Xuan & Flores, Carlos A. & Flores-Lagunes, Alfonso, 2015. "Going Beyond LATE: Bounding Average Treatment Effects of Job Corps Training," IZA Discussion Papers 9511, Institute of Labor Economics (IZA).
  35. Anthony Strittmatter, 2019. "Heterogeneous Earnings Effects of the Job Corps by Gender Earnings: A Translated Quantile Approach," Papers 1908.08721, arXiv.org.
  36. Kreif, N. & Grieve, R. & Díaz, I. & Harrison, D., 2014. "Health econometric evaluation of the effects of a continuous treatment: a machine learning approach," Health, Econometrics and Data Group (HEDG) Working Papers 14/19, HEDG, c/o Department of Economics, University of York.
  37. Anna Aizer & Shari Eli & Adriana Lleras-Muney & Keyoung Lee, 2020. "Do Youth Employment Programs Work? Evidence from the New Deal," NBER Working Papers 27103, National Bureau of Economic Research, Inc.
  38. Bofinger, Peter & Buch, Claudia M. & Feld, Lars P. & Schmidt, Christoph M. & Wieland, Volker, 2013. "Gegen eine rückwärtsgewandte Wirtschaftspolitik. Jahresgutachten 2013/14 [Against a backward-looking economic policy. Annual Report 2013/14]," Annual Economic Reports / Jahresgutachten, German Council of Economic Experts / Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung, volume 127, number 201314.
  39. Vera Chiodi & Gabriel Montes‐Rojas, 2022. "Mentoring as a dose treatment: Frequency matters—Evidence from a French mentoring programme," LABOUR, CEIS, vol. 36(2), pages 145-166, June.
  40. Serrano-Domingo, Guadalupe & Requena-Silvente, Francisco, 2013. "Re-examining the migration–trade link using province data: An application of the generalized propensity score," Economic Modelling, Elsevier, vol. 32(C), pages 247-261.
  41. Hugo Bodory & Martin Huber & Lukáš Lafférs, 2022. "Evaluating (weighted) dynamic treatment effects by double machine learning [Identification of causal effects using instrumental variables]," The Econometrics Journal, Royal Economic Society, vol. 25(3), pages 628-648.
  42. Ferman, Bruno & Ponczek, Vladimir, 2017. "Should we drop covariate cells with attrition problems?," MPRA Paper 80686, University Library of Munich, Germany.
  43. Robert N. Eberhart & Charles E. Eesley & Kathleen M. Eisenhardt, 2017. "Failure Is an Option: Institutional Change, Entrepreneurial Risk, and New Firm Growth," Organization Science, INFORMS, vol. 28(1), pages 93-112, February.
  44. Dammert, Ana C. & Galdo, Jose, 2013. "Program quality and treatment completion for youth training programs," Economics Letters, Elsevier, vol. 119(3), pages 243-246.
  45. Kluve, Jochen & Rinne, Ulf & Uhlendorff, Arne & Zhao, Zhong, 2013. "The impact of training duration on employment outcomes: Evidence from LATE estimates," Economics Letters, Elsevier, vol. 120(3), pages 487-490.
  46. Laura Forastiere & Davide Del Prete & Valerio Leone Sciabolazza, 2020. "Causal Inference on Networks under Continuous Treatment Interference," Papers 2004.13459, arXiv.org, revised Jun 2023.
  47. Yu-Chin Hsu & Martin Huber & Ying-Ying Lee & Chu-An Liu, 2021. "Testing Monotonicity of Mean Potential Outcomes in a Continuous Treatment with High-Dimensional Data," Papers 2106.04237, arXiv.org, revised Aug 2022.
  48. Kyle Colangelo & Ying-Ying Lee, 2019. "Double debiased machine learning nonparametric inference with continuous treatments," CeMMAP working papers CWP54/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  49. Ozkan Eren & Serkan Ozbeklik, 2014. "Who Benefits From Job Corps? A Distributional Analysis Of An Active Labor Market Program," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(4), pages 586-611, June.
  50. Doerr, Annabelle & Strittmatter, Anthony, 2014. "Assignment Mechanisms, Selection Criteria, and the Effectiveness of Training Programs," Economics Working Paper Series 1421, University of St. Gallen, School of Economics and Political Science, revised May 2017.
  51. Yu-Chin Hsu & Martin Huber & Yu-Min Yen, 2023. "Doubly Robust Estimation of Direct and Indirect Quantile Treatment Effects with Machine Learning," Papers 2307.01049, arXiv.org.
  52. Sheldon, Tamara L. & DeShazo, J.R., 2017. "How does the presence of HOV lanes affect plug-in electric vehicle adoption in California? A generalized propensity score approach," Journal of Environmental Economics and Management, Elsevier, vol. 85(C), pages 146-170.
  53. Wendy Cunningham & Pablo Acosta & Noël Muller, 2016. "Minds and Behaviors at Work," World Bank Publications - Books, The World Bank Group, number 24659, December.
  54. Kluve, Jochen, 2013. "Aktive Arbeitsmarktpolitik: Maßnahmen, Zielsetzungen, Wirkungen," Working Papers 07/2013, German Council of Economic Experts / Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung.
  55. Madoń, Karol & Magda, Iga & Palczyńska, Marta & Smoter, Mateusz, 2021. "What Works for Whom? Youth Labour Market Policy in Poland," IZA Discussion Papers 14793, Institute of Labor Economics (IZA).
  56. Martin Huber & Yu‐Chin Hsu & Ying‐Ying Lee & Layal Lettry, 2020. "Direct and indirect effects of continuous treatments based on generalized propensity score weighting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(7), pages 814-840, November.
  57. Chung Choe & Alfonso Flores-Lagunes & Sang-Jun Lee, 2015. "Do dropouts with longer training exposure benefit from training programs? Korean evidence employing methods for continuous treatments," Empirical Economics, Springer, vol. 48(2), pages 849-881, March.
  58. Ida D'Attoma & Silvia Pacei, 2018. "Evaluating the Effects of Product Innovation on the Performance of European Firms by Using the Generalised Propensity Score," German Economic Review, Verein für Socialpolitik, vol. 19(1), pages 94-112, February.
  59. Egger, Peter Hannes & Egger, Peter, 2016. "Heterogeneous Effects of Tariff and Nontariff Policy Barriers in General Equilibrium," VfS Annual Conference 2016 (Augsburg): Demographic Change 145675, Verein für Socialpolitik / German Economic Association.
  60. Chunrong Ai & Yue Fang & Haitian Xie, 2024. "Data-driven Policy Learning for a Continuous Treatment," Papers 2402.02535, arXiv.org.
  61. Wayne Passmore & Shane M. Sherlund, 2021. "FHA, Fannie Mae, Freddie Mac and the Great Recession," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 49(3), pages 733-777, September.
  62. Carina Steckenleiter & Michael Lechner & Tim Pawlowski & Ute Schüttoff, 2023. "Do local expenditures on sports facilities affect sports participation?," Economic Inquiry, Western Economic Association International, vol. 61(4), pages 1103-1128, October.
  63. Schiff, Nathan & Cosman, Jacob & Dai, Tianran, 2023. "Delivery in the city: Differentiated products competition among New York restaurants," Journal of Urban Economics, Elsevier, vol. 134(C).
  64. Zhang, Xiaoke & Xue, Wu & Wang, Qiyue, 2021. "Covariate balancing functional propensity score for functional treatments in cross-sectional observational studies," Computational Statistics & Data Analysis, Elsevier, vol. 163(C).
  65. Ferrara, Antonella Rita & Dijkstra, Lewis & McCann, Philip & Nisticó, Rosanna, 2022. "The response of regional well-being to place-based policy interventions," Regional Science and Urban Economics, Elsevier, vol. 97(C).
  66. Rahul Singh & Liyuan Xu & Arthur Gretton, 2021. "Sequential Kernel Embedding for Mediated and Time-Varying Dose Response Curves," Papers 2111.03950, arXiv.org, revised Jul 2023.
  67. Finn McGuire & Noemi Kreif & Peter C. Smith, 2021. "The effect of distance on maternal institutional delivery choice: Evidence from Malawi," Health Economics, John Wiley & Sons, Ltd., vol. 30(9), pages 2144-2167, September.
  68. Huzeyfe Torun & Semih Tumen, 2019. "Do vocational high school graduates have better employment outcomes than general high school graduates?," International Journal of Manpower, Emerald Group Publishing Limited, vol. 40(8), pages 1364-1388, August.
  69. Cosman, Jacob & Schiff, Nathan, 2019. "Delivery in the city: evidence on monopolistic competition from New York restaurants," MPRA Paper 96617, University Library of Munich, Germany.
  70. Galdo, Jose & Chong, Alberto, 2012. "Does the quality of public-sponsored training programs matter? Evidence from bidding processes data," Labour Economics, Elsevier, vol. 19(6), pages 970-986.
  71. Strittmatter, Anthony, 2019. "Heterogeneous earnings effects of the job corps by gender: A translated quantile approach," Labour Economics, Elsevier, vol. 61(C).
  72. Marios Michaelides & Peter Mueser & Jeffrey Smith, 2019. "Youth Unemployment and U.S. Job Search Assistance Policy during the Great Recession," University of Cyprus Working Papers in Economics 13-2019, University of Cyprus Department of Economics.
  73. Dalla-Zuanna, Antonio & Liu, Kai, 2019. "Understanding Program Complementarities: Estimating the Dynamic Effects of a Training Program with Multiple Alternatives," IZA Discussion Papers 12839, Institute of Labor Economics (IZA).
  74. María Laura Alzúa & Guillermo Cruces & Carolina Lopez, 2015. "Youth Training Programs Beyond Employment. Experimental Evidence from Argentina," CEDLAS, Working Papers 0177, CEDLAS, Universidad Nacional de La Plata.
  75. Ying-Ying Lee, 2014. "Partial Mean Processes with Generated Regressors: Continuous Treatment Effects and Nonseparable Models," Economics Series Working Papers 706, University of Oxford, Department of Economics.
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