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Sensitivity of matching-based program evaluations to the availability of control variables

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Cited by:

  1. Lechner, Michael, 2018. "Modified Causal Forests for Estimating Heterogeneous Causal Effects," IZA Discussion Papers 12040, Institute of Labor Economics (IZA).
  2. Thomas Kruppe & Julia Lang, 2018. "Labour market effects of retraining for the unemployed: the role of occupations," Applied Economics, Taylor & Francis Journals, vol. 50(14), pages 1578-1600, March.
  3. Cerqua, Augusto & Urwin, Peter & Thomson, Dave & Bibby, David, 2020. "Evaluation of education and training impacts for the unemployed: Challenges of new data," Labour Economics, Elsevier, vol. 67(C).
  4. Feir, Donn. L. & Foley, Kelly & Jones, Maggie E. C., 2022. "Heterogeneous Returns to Active Labour Market Programs for Indigenous Populations," IZA Discussion Papers 15358, Institute of Labor Economics (IZA).
  5. Petri Böckerman & Mika Maliranta, 2013. "Outsourcing, Occupational Restructuring, and Employee Well-Being: Is There a Silver Lining?," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 52(4), pages 878-914, October.
  6. 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.
  7. Lechner, Michael & Felfe, Christina & Steinmayr, Andreas, 2011. "Sports and Child Development," CEPR Discussion Papers 8523, C.E.P.R. Discussion Papers.
  8. Cockx, Bart & Lechner, Michael & Bollens, Joost, 2023. "Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium," Labour Economics, Elsevier, vol. 80(C).
  9. Lutz Bellmann & Marco Caliendo & Stefan Tübbicke, 2018. "The Post‐Reform Effectiveness of the New German Start‐Up Subsidy for the Unemployed," LABOUR, CEIS, vol. 32(3), pages 293-319, September.
  10. Leduc, Elisabeth & Tojerow, Ilan, 2020. "Subsidizing Domestic Services as a Tool to Fight Unemployment: Effectiveness and Hidden Costs," IZA Discussion Papers 13544, Institute of Labor Economics (IZA).
  11. Goller, Daniel & Lechner, Michael & Moczall, Andreas & Wolff, Joachim, 2020. "Does the estimation of the propensity score by machine learning improve matching estimation? The case of Germany's programmes for long term unemployed," Labour Economics, Elsevier, vol. 65(C).
  12. Michael C Knaus & Michael Lechner & Anthony Strittmatter, 2021. "Machine learning estimation of heterogeneous causal effects: Empirical Monte Carlo evidence," The Econometrics Journal, Royal Economic Society, vol. 24(1), pages 134-161.
  13. Du, Shihan & Homrighausen, Pia & Wilke, Ralf A., 2018. "On omitted variables, proxies and unobserved effects in analysis of administrative labour market data," FDZ Methodenreport 201806_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
  14. Nilsen, Øivind A. & Raknerud, Arvid, 2024. "Dynamics of first-time patenting firms," Research Policy, Elsevier, vol. 53(8).
  15. Marco Caliendo & Stefan Tübbicke, 2020. "New evidence on long-term effects of start-up subsidies: matching estimates and their robustness," Empirical Economics, Springer, vol. 59(4), pages 1605-1631, October.
  16. Martin Huber & Michael Lechner & Giovanni Mellace, 2017. "Why Do Tougher Caseworkers Increase Employment? The Role of Program Assignment as a Causal Mechanism," The Review of Economics and Statistics, MIT Press, vol. 99(1), pages 180-183, March.
  17. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2013. "The Effect of Firms' Partial Retirement Policies on the Labour Market Outcomes of Their Employees," IZA Discussion Papers 7513, Institute of Labor Economics (IZA).
  18. Arun Advani & Toru Kitagawa & Tymon Słoczyński, 2019. "Mostly harmless simulations? Using Monte Carlo studies for estimator selection," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(6), pages 893-910, September.
  19. Michael C. Knaus & Michael Lechner & Anthony Strittmatter, 2022. "Heterogeneous Employment Effects of Job Search Programs: A Machine Learning Approach," Journal of Human Resources, University of Wisconsin Press, vol. 57(2), pages 597-636.
  20. Martin Huber & Michael Lechner & Anthony Strittmatter, 2018. "Direct and indirect effects of training vouchers for the unemployed," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 181(2), pages 441-463, February.
  21. Marco Caliendo & Robert Mahlstedt & Gerard J. van den Berg & Johan Vikström, 2023. "Side effects of labor market policies," Scandinavian Journal of Economics, Wiley Blackwell, vol. 125(2), pages 339-375, April.
  22. Haensch, Anna-Carolina & Drechsler, Jörg & Bernhard, Sarah, 2020. "TippingSens: An R Shiny Application to Facilitate Sensitivity Analysis for Causal Inference Under Confounding," IAB-Discussion Paper 202029, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
  23. Athey, Susan & Imbens, Guido W. & Metzger, Jonas & Munro, Evan, 2024. "Using Wasserstein Generative Adversarial Networks for the design of Monte Carlo simulations," Journal of Econometrics, Elsevier, vol. 240(2).
  24. Ashimwe, Olive, 2016. "An Economic Analysis Of Impact Of Weather Index-Based Crop Insurance On Household Income In Huye District Of Rwanda," Research Theses 265675, Collaborative Masters Program in Agricultural and Applied Economics.
  25. Tobias Brändle & Lukas Fervers, 2017. "Give it Another Try: What are the Effects of a Public Employment Scheme Especially Designed for Hard-to-Place Workers?," IAW Discussion Papers 129, Institut für Angewandte Wirtschaftsforschung (IAW).
  26. Lombardi, Stefano & van den Berg, Gerard J. & Vikström, Johan, 2020. "Empirical Monte Carlo evidence on estimation of Timing-of-Events models," Working Paper Series 2020:26, IFAU - Institute for Evaluation of Labour Market and Education Policy, revised 05 Jan 2021.
  27. Goller, Daniel & Harrer, Tamara & Lechner, Michael & Wolff, Joachim, 2021. "Active labour market policies for the long-term unemployed: New evidence from causal machine learning," Economics Working Paper Series 2108, University of St. Gallen, School of Economics and Political Science.
  28. Judit Krekó & Balázs Munkácsy & Márton Csillag & Ágota Scharle, 2022. "A job trial subsidy for youth:cheap labour or a screening device?," CERS-IE WORKING PAPERS 2222, Institute of Economics, Centre for Economic and Regional Studies.
  29. Fredrik Andersson & Harry J. Holzer & Julia I. Lane & David Rosenblum & Jeffrey Smith, 2024. "Does Federally Funded Job Training Work? Nonexperimental Estimates of WIA Training Impacts Using Longitudinal Data on Workers and Firms," Journal of Human Resources, University of Wisconsin Press, vol. 59(4), pages 1244-1283.
  30. Michael Lechner & Anthony Strittmatter, 2019. "Practical procedures to deal with common support problems in matching estimation," Econometric Reviews, Taylor & Francis Journals, vol. 38(2), pages 193-207, February.
  31. Marco Caliendo & Ricarda Schmidl, 2016. "Youth unemployment and active labor market policies in Europe," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 5(1), pages 1-30, December.
  32. FLORES-LAGUNES Alfonso & CHOE Chung & LEE Sang-Jun, 2011. "Do Dropouts Benefit from Training Programs? Korean Evidence Employing Methods for Continuous Treatments," LISER Working Paper Series 2011-34, Luxembourg Institute of Socio-Economic Research (LISER).
  33. Berger, Marius & Hottenrott, Hanna, 2021. "Start-up subsidies and the sources of venture capital," Journal of Business Venturing Insights, Elsevier, vol. 16(C).
  34. Schmidl, Ricarda, 2015. "The Effectiveness of Early Vacancy Information in the Presence of Monitoring and ALMP," IZA Discussion Papers 9575, Institute of Labor Economics (IZA).
  35. Michael Rosholm & Mai Bjørnskov Mikkelsen & Michael Svarer, 2019. "Bridging the gap from welfare to education: Propensity score matching evaluation of a bridging intervention," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-20, May.
  36. 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.
  37. Doerr, Annabelle, 2022. "Vocational Training for Female Job Returners - Effects on Employment, Earnings and Job Quality," Working papers 2022/02, Faculty of Business and Economics - University of Basel.
  38. Kauhanen, Antti, 2018. "The Effects of an Education-Leave Program on Educational Attainment and Labor-Market Outcomes," ETLA Working Papers 56, The Research Institute of the Finnish Economy.
  39. José María Arranz & Carlos García-Serrano, 2024. "You’ll never seek alone: The impact of active labour market policies on finding a job," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 58(1), pages 1-19, December.
  40. Marloes Lammers & Lucy Kok, 2021. "Are active labor market policies (cost-)effective in the long run? Evidence from the Netherlands," Empirical Economics, Springer, vol. 60(4), pages 1719-1746, April.
  41. Raff, Horst & Trofimenko, Natalia, 2013. "World market access of emerging-market firms: The role of foreign ownership and access to external finance," Kiel Working Papers 1848, Kiel Institute for the World Economy (IfW Kiel).
  42. Bia, Michela & Flores-Lagunes, Alfonso & Mercatanti, Andrea, 2018. "Evaluation of Language Training Programs in Luxembourg using Principal Stratification," GLO Discussion Paper Series 289, Global Labor Organization (GLO).
  43. Fervers, Lukas & Brändle, Tobias & Webel, Carina, 2014. "Decomposing a Matching Estimation - Correlated Unobserved non-random Selection, Substitution, and Causal Effects in a Large Scale ALMP Program in Germany," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100500, Verein für Socialpolitik / German Economic Association.
  44. van den Berg, Gerard J. & Kunaschk, Max & Lang, Julia & Stephan, Gesine & Uhlendorff, Arne, 2023. "Predicting Re-Employment: Machine Learning versus Assessments by Unemployed Workers and by Their Caseworkers," IZA Discussion Papers 16426, Institute of Labor Economics (IZA).
  45. Marco Caliendo & Steffen Künn, 2015. "Getting back into the labor market: the effects of start-up subsidies for unemployed females," Journal of Population Economics, Springer;European Society for Population Economics, vol. 28(4), pages 1005-1043, October.
  46. 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.
  47. 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.
  48. Boockmann Bernhard & Brändle Tobias, 2019. "Coaching, Counseling, Case-Working: Do They Help the Older Unemployed Out of Benefit Receipt and Back Into the Labor Market?," German Economic Review, De Gruyter, vol. 20(4), pages 436-468, December.
  49. Advani, Arun & Sloczynski, Tymon, 2013. "Mostly Harmless Simulations? On the Internal Validity of Empirical Monte Carlo Studies," IZA Discussion Papers 7874, Institute of Labor Economics (IZA).
  50. Caliendo, Marco & Künn, Steffen & Weißenberger, Martin, 2016. "Personality traits and the evaluation of start-up subsidies," European Economic Review, Elsevier, vol. 86(C), pages 87-108.
  51. Tobias Brändle & Lukas Fervers, 2021. "Give it Another Try: What are the Effects of a Job Creation Scheme Especially Designed for Hard-to-Place Workers?," Journal of Labor Research, Springer, vol. 42(3), pages 382-417, December.
  52. Caliendo, Marco, 2019. "Health Effects of Labor Market Policies: Evidence from Drug Prescriptions," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203573, Verein für Socialpolitik / German Economic Association.
  53. Yonatan Eyal, 2020. "Self-Assessment Variables as a Source of Information in the Evaluation of Intervention Programs: A Theoretical and Methodological Framework," SAGE Open, , vol. 10(1), pages 21582440198, January.
  54. Bernhard Boockmann & Christopher Osiander & Michael Stops, 2014. "Vermittlerstrategien und Arbeitsmarkterfolg – Evidenz aus kombinierten Prozess- und Befragungsdaten [Caseworkers’ strategies and clients’ labor market outcomes]," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 47(4), pages 341-360, December.
  55. Boockmann Bernhard & Buch Claudia M. & Schnitzer Monika, 2014. "Evidenzbasierte Wirtschaftspolitik in Deutschland: Defizite und Potentiale," Perspektiven der Wirtschaftspolitik, De Gruyter, vol. 15(4), pages 307-323, December.
  56. Doerr, Annabelle, 2017. "Back to work: The Long-term Effects of Vocational Training for Female Job Returners," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168213, Verein für Socialpolitik / German Economic Association.
  57. Hagen, Tobias, 2016. "Econometric evaluation of a placement coaching program for recipients of disability insurance benefits in Switzerland," Working Paper Series 10, Frankfurt University of Applied Sciences, Faculty of Business and Law.
  58. Cole, Matthew A. & Elliott, Robert J.R. & Okubo, Toshihiro & Zhang, Liyun, 2021. "Importing, outsourcing and pollution offshoring," Energy Economics, Elsevier, vol. 103(C).
  59. Muller, Paul & van der Klaauw, Bas & Heyma, Arjan, 2017. "Comparing Econometric Methods to Empirically Evaluate Job-Search Assistance," IZA Discussion Papers 10531, Institute of Labor Economics (IZA).
  60. Hugo Bodory & Lorenzo Camponovo & Martin Huber & Michael Lechner, 2020. "The Finite Sample Performance of Inference Methods for Propensity Score Matching and Weighting Estimators," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(1), pages 183-200, January.
  61. Michael Lechner, 2023. "Causal Machine Learning and its use for public policy," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 159(1), pages 1-15, December.
  62. LU Guanyu & TANAKA Kenta & ARIMURA Toshi H., 2023. "The Impacts of the Tokyo and Saitama ETSs on the Energy Efficiency Performance of Manufacturing Facilities," Discussion papers 23007, Research Institute of Economy, Trade and Industry (RIETI).
  63. Caliendo, Marco & Kritikos, Alexander S. & Künn, Steffen & Loersch, Christian & Schröder, Helmut & Schütz, Holger, 2014. "Evaluation der Programme „Gründercoaching Deutschland“ und „Gründercoaching Deutschland – Gründungen aus der Arbeitslosigkeit“," IZA Research Reports 61, Institute of Labor Economics (IZA).
  64. Joseph, Olivier & Pailhé, Ariane & Recotillet, Isabelle & Solaz, Anne, 2013. "The economic impact of taking short parental leave: Evaluation of a French reform," Labour Economics, Elsevier, vol. 25(C), pages 63-75.
  65. Anže Burger & Jochen Kluve & Milan Vodopivec & Matija Vodopivec, 2022. "A comprehensive impact evaluation of active labour market programmes in Slovenia," Empirical Economics, Springer, vol. 62(6), pages 3015-3039, June.
  66. Hottenrott, Hanna & Richstein, Robert, 2020. "Start-up subsidies: Does the policy instrument matter?," Research Policy, Elsevier, vol. 49(1).
  67. Riccardo Di Francesco, 2022. "Aggregation Trees," CEIS Research Paper 546, Tor Vergata University, CEIS, revised 20 Nov 2023.
  68. Martin Huber & Michael Lechner & Giovanni Mellace, 2016. "The Finite Sample Performance of Estimators for Mediation Analysis Under Sequential Conditional Independence," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(1), pages 139-160, January.
  69. Gerard J. van den Berg & Johan Vikström, 2022. "Long‐Run Effects of Dynamically Assigned Treatments: A New Methodology and an Evaluation of Training Effects on Earnings," Econometrica, Econometric Society, vol. 90(3), pages 1337-1354, May.
  70. Doerr, Annabelle, 2022. "Vocational training for female job returners - Effects on employment, earnings and job quality," Labour Economics, Elsevier, vol. 75(C).
  71. Boockmann, Bernhard & Osiander, Christopher & Stops, Michael & Verbeek, Hans, 2013. "Effekte von Vermittlerhandeln und Vermittlerstrategien im SGB II und SGB III (Pilotstudie) : Abschlussbericht an das IAB durch das Institut für Angewandte Wirtschaftsforschung e. V. (IAW), Tübingen," IAB-Forschungsbericht 201307, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
  72. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2015. "Workplace health promotion and labour market performance of employees," Journal of Health Economics, Elsevier, vol. 43(C), pages 170-189.
  73. Nilsen, Øivind A. & Raknerud, Arvid & Iancu, Diana-Cristina, 2020. "Public R&D support and firm performance: A multivariate dose-response analysis," Research Policy, Elsevier, vol. 49(7).
  74. Brussig, Martin & Kirsch, Johannes & Mosler, Bettina & Baser, Oya & Pfeiffer, Friedhelm & Ivanov, Boris & Pohlan, Laura & Pagels, Nils & Gabler, Andrea & Kotlenga, Sandra & Nägele, Barbara & Puhe, Hen, 2018. "Evaluation des Bundesprogramms "Soziale Teilhabe am Arbeitsmarkt" (Zb1-04812-2/31): Zweiter Zwischenbericht," ZEW Expertises, ZEW - Leibniz Centre for European Economic Research, number 179951.
  75. Stefan Tübbicke, 2023. "How sensitive are matching estimates of active labor market policy effects to typically unobserved confounders?," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 57(1), pages 1-16, December.
  76. van den Berg, Gerard J. & Vikström, Johan, 2019. "Long-Run Effects of Dynamically Assigned Treatments: a New Methodology and an Evaluation of Training Effects on Earnings," Working Paper Series 2019:18, IFAU - Institute for Evaluation of Labour Market and Education Policy.
  77. Barbara Sianesi, 2013. "Dealing with randomisation bias in a social experiment exploiting the randomisation itself: the case of ERA," IFS Working Papers W13/15, Institute for Fiscal Studies.
  78. Paul Muller & Bas van der Klaauw & Arjan Heyma, 2020. "Comparing econometric methods to empirically evaluate activation programs for job seekers," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 526-547, August.
  79. Michael Lechner & Jana Mareckova, 2022. "Modified Causal Forest," Papers 2209.03744, arXiv.org.
  80. Federica Mascolo & Nora Bearth & Fabian Muny & Michael Lechner & Jana Mareckova, 2024. "The Heterogeneous Effects of Active Labour Market Policies in Switzerland," Papers 2410.23322, arXiv.org.
  81. Lechner, Michael, 2013. "Treatment effects and panel data," Economics Working Paper Series 1314, University of St. Gallen, School of Economics and Political Science.
  82. Nikolay Angelov & Marcus Eliason, 2018. "Wage subsidies targeted to jobseekers with disabilities: subsequent employment and disability retirement," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-37, December.
  83. Riccardo Di Francesco, 2024. "Aggregation Trees," Papers 2410.11408, arXiv.org.
  84. Caliendo, Marco & Tübbicke, Stefan, 2019. "Do Start-Up Subsidies for the Unemployed Affect Participants' Well-Being? A Rigorous Look at (Un-)Intended Consequences of Labor Market Policies," IZA Discussion Papers 12755, Institute of Labor Economics (IZA).
  85. Vikström, Johan, 2015. "Evaluation of sequences of treatments with application to active labor market policies," Working Paper Series 2015:5, IFAU - Institute for Evaluation of Labour Market and Education Policy.
  86. Caliendo, Marco & Mahlstedt, Robert & Mitnik, Oscar A., 2017. "Unobservable, but unimportant? The relevance of usually unobserved variables for the evaluation of labor market policies," Labour Economics, Elsevier, vol. 46(C), pages 14-25.
  87. Barbara Sianesi, 2014. "Dealing with randomisation bias in a social experiment: the case of ERA," IFS Working Papers W14/10, Institute for Fiscal Studies.
  88. Mörk, Eva & Ottosson, Lillit & Vikman, Ulrika, 2021. "To work or not to work? Effects of temporary public employment on future employment and benefits," Working Paper Series 2021:12, IFAU - Institute for Evaluation of Labour Market and Education Policy.
  89. repec:iab:iabfme:201806(en is not listed on IDEAS
  90. Hagen, Tobias, 2016. "Econometric Evaluation of a Placement Coaching Program for Recipients of Disability Insurance Benefits in Switzerland," VfS Annual Conference 2016 (Augsburg): Demographic Change 145736, Verein für Socialpolitik / German Economic Association.
  91. Gabriel Okasa, 2022. "Meta-Learners for Estimation of Causal Effects: Finite Sample Cross-Fit Performance," Papers 2201.12692, arXiv.org.
  92. Caliendo, Marco & Künn, Steffen & Schmidl, Ricarda, 2011. "Fighting Youth Unemployment: The Effects of Active Labor Market Policies," IZA Discussion Papers 6222, Institute of Labor Economics (IZA).
  93. Matthew A. COLE & Robert R.J. ELLIOTT & OKUBO Toshihiro & Liyun ZHANG, 2017. "The Pollution Outsourcing Hypothesis: An empirical test for Japan," Discussion papers 17096, Research Institute of Economy, Trade and Industry (RIETI).
  94. Ashimwe, Olive, 2016. "An Economic Analysis Of Impact Of Weather Index-Based Crop Insurance On Household Income In Huye District Of Rwanda," Research Theses 276460, Collaborative Masters Program in Agricultural and Applied Economics.
  95. Céline Odding & Lucy Kok & Lennart Kroon & Marloes Lammers, 2024. "From Unemployed to Self-Employed: Analysis of Treatment Effects of a Dutch Self-Employment Programme," De Economist, Springer, vol. 172(1), pages 49-99, March.
  96. Brita Bye & Marit Klemetsen & Arvid Raknerud, 2019. "The impact of public R&D support on firms' patenting," Discussion Papers 911, Statistics Norway, Research Department.
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