Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium
Author
Abstract
Suggested Citation
Download full text from publisher
Other versions of this item:
- 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).
- Bart Cockx & Michael Lechner & Joost Bollens, 2020. "Priority of Unemployed Immigrants? A Causal Machine Learning Evaluation of Training in Belgium," CESifo Working Paper Series 8297, CESifo.
- Cockx, Bart & Lechner, Michael & Bollens, Joost, 2020. "Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium," Research Memorandum 015, Maastricht University, Graduate School of Business and Economics (GSBE).
- Bart Cockx & Michael Lechner & Joost Bollens, 2019. "Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium," Papers 1912.12864, arXiv.org, revised Dec 2022.
- Bart Cockx & Michael Lechner & Joost Bollens, 2020. "Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 20/998, Ghent University, Faculty of Economics and Business Administration.
- Lechner, Michael & Cockx, Bart & Bollens, Joost, 2020. "Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium," CEPR Discussion Papers 14270, C.E.P.R. Discussion Papers.
- Cockx, Bart & Lechner, Michael & Bollens, Joost, 2020. "Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium," ROA Research Memorandum 006, Maastricht University, Research Centre for Education and the Labour Market (ROA).
- Cockx, Bart & Lechner, Michael & Bollens, Joost, 2019. "Priority to Unemployed Immigrants? A Causal Machine Learning Evaluation of Training in Belgium," IZA Discussion Papers 12875, Institute of Labor Economics (IZA).
- Bart Cockx & Michael Lechner & Joost Bollens, 2020. "Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium," LIDAM Discussion Papers IRES 2020016, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
References listed on IDEAS
- 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.
- 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.
- Crump, Richard K. & Hotz, V. Joseph & Imbens, Guido W. & Mitnik, Oscar A., 2006. "Nonparametric Tests for Treatment Effect Heterogeneity," IZA Discussion Papers 2091, Institute of Labor Economics (IZA).
- Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2005.
"Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools,"
Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 151-184, February.
- Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2000. "Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools," NBER Working Papers 7831, National Bureau of Economic Research, Inc.
- Maarten Goos & Alan Manning & Anna Salomons, 2009. "Job Polarization in Europe," American Economic Review, American Economic Association, vol. 99(2), pages 58-63, May.
- 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.
- 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," IZA Discussion Papers 12470, Institute of Labor Economics (IZA).
- Martin Biewen & Bernd Fitzenberger & Aderonke Osikominu & Marie Paul, 2014.
"The Effectiveness of Public-Sponsored Training Revisited: The Importance of Data and Methodological Choices,"
Journal of Labor Economics, University of Chicago Press, vol. 32(4), pages 837-897.
- Martin Biewen & Bernd Fitzenberger & Aderonke Osikominu & Marie Paul, 2012. "The Effectiveness of Public Sponsored Training Revisited: The Importance of Data and Methodological Choices," NRN working papers 2012-09, The Austrian Center for Labor Economics and the Analysis of the Welfare State, Johannes Kepler University Linz, Austria.
- Martin Biewen & Bernd Fitzenberger & Aderonke Osikominu & Marie Paul, 2012. "The effectiveness of public sponsored training revisited: The importance of data and methodological choices," ECON - Working Papers 091, Department of Economics - University of Zurich.
- Lechner, Michael, 2018.
"Modified Causal Forests for Estimating Heterogeneous Causal Effects,"
IZA Discussion Papers
12040, Institute of Labor Economics (IZA).
- Lechner, Michael, 2019. "Modified Causal Forests for Estimating Heterogeneous Causal Effects," CEPR Discussion Papers 13430, C.E.P.R. Discussion Papers.
- Lechner, Michael, 2019. "Modified Causal Forests for Estimating Heterogeneous Causal Effects," Economics Working Paper Series 1901, University of St. Gallen, School of Economics and Political Science.
- Michael Lechner, 2018. "Modified Causal Forests for Estimating Heterogeneous Causal Effects," Papers 1812.09487, arXiv.org, revised Jul 2019.
- Michael Gerfin & Michael Lechner, 2002.
"A Microeconometric Evaluation of the Active Labour Market Policy in Switzerland,"
Economic Journal, Royal Economic Society, vol. 112(482), pages 854-893, October.
- Gerfin, Michael & Lechner, Michael, 2000. "Microeconometric Evaluation of the Active Labour Market Policy in Switzerland," IZA Discussion Papers 154, Institute of Labor Economics (IZA).
- Lechner, Michael & Gerfin, Michael, 2001. "A Microeconometric Evaluation of Active Labour Market Policy in Switzerland," CEPR Discussion Papers 2993, C.E.P.R. Discussion Papers.
- Zhengyuan Zhou & Susan Athey & Stefan Wager, 2023.
"Offline Multi-Action Policy Learning: Generalization and Optimization,"
Operations Research, INFORMS, vol. 71(1), pages 148-183, January.
- Zhou, Zhengyuan & Athey, Susan & Wager, Stefan, 2018. "Offline Multi-Action Policy Learning: Generalization and Optimization," Research Papers 3734, Stanford University, Graduate School of Business.
- Zhengyuan Zhou & Susan Athey & Stefan Wager, 2018. "Offline Multi-Action Policy Learning: Generalization and Optimization," Papers 1810.04778, arXiv.org, revised Nov 2018.
- Bruno Crépon & Marc Ferracci & Grégory Jolivet & Gerard J. van den Berg, 2009.
"Active Labor Market Policy Effects in a Dynamic Setting,"
Journal of the European Economic Association, MIT Press, vol. 7(2-3), pages 595-605, 04-05.
- Crépon, Bruno & Ferracci, Marc & Jolivet, Grégory & van den Berg, Gerard J., 2008. "Active Labor Market Policy Effects in a Dynamic Setting," IZA Discussion Papers 3848, Institute of Labor Economics (IZA).
- Crépon, Bruno & Ferracci, Marc & Jolivet, Grégory & van den Berg, Gerard J., 2009. "Active labor market policy effects in a dynamic setting," Working Paper Series 2009:1, IFAU - Institute for Evaluation of Labour Market and Education Policy.
- Bruno Crépon & Marc Ferracci & Grégory Jolivet & Gerard J. van den Berg, 2008. "Active Labor Market Policy Effects in a Dynamic Setting," Working Papers 2008-25, Center for Research in Economics and Statistics.
- Stefan Wager & Susan Athey, 2018.
"Estimation and Inference of Heterogeneous Treatment Effects using Random Forests,"
Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(523), pages 1228-1242, July.
- Wager, Stefan & Athey, Susan, 2017. "Estimation and Inference of Heterogeneous Treatment Effects Using Random Forests," Research Papers 3576, Stanford University, Graduate School of Business.
- Fredriksson, Peter & Johansson, Per, 2008. "Dynamic Treatment Assignment," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 435-445.
- Susan Athey & Stefan Wager, 2021.
"Policy Learning With Observational Data,"
Econometrica, Econometric Society, vol. 89(1), pages 133-161, January.
- Susan Athey & Stefan Wager, 2017. "Policy Learning with Observational Data," Papers 1702.02896, arXiv.org, revised Sep 2020.
- Barbara Sianesi, 2004. "An Evaluation of the Swedish System of Active Labor Market Programs in the 1990s," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 133-155, February.
- David Card & Jochen Kluve & Andrea Weber, 2018.
"What Works? A Meta Analysis of Recent Active Labor Market Program Evaluations,"
Journal of the European Economic Association, European Economic Association, vol. 16(3), pages 894-931.
- Card, David & Kluve, Jochen & Weber, Andrea, 2015. "What works? A meta analysis of recent active labor market program evaluations," Ruhr Economic Papers 572, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
- Card, David & Kluve, Jochen & Weber, Andrea, 2015. "What Works? A Meta Analysis of Recent Active Labor Market Program Evaluations," IZA Discussion Papers 9236, Institute of Labor Economics (IZA).
- David Card & Jochen Kluve & Andrea Weber, 2015. "What Works? A Meta Analysis of Recent Active Labor Market Program Evaluations," NBER Working Papers 21431, National Bureau of Economic Research, Inc.
- Lechner, Michael & Smith, Jeffrey, 2007.
"What is the value added by caseworkers?,"
Labour Economics, Elsevier, vol. 14(2), pages 135-151, April.
- Lechner, Michael & Smith, Jeffrey A., 2003. "What is the Value Added by Caseworkers?," IZA Discussion Papers 728, Institute of Labor Economics (IZA).
- Lechner, Michael & Smith, Jeffrey, 2003. "What is the Value Added by Caseworkers?," CEPR Discussion Papers 3825, C.E.P.R. Discussion Papers.
- Michael Lechner & Jeffrey Smith, 2003. "What is the Value Added by Caseworkers?," University of St. Gallen Department of Economics working paper series 2003 2003-05, Department of Economics, University of St. Gallen.
- Michael Lechner & Jeffrey Smith, 2003. "What is the Value Added by Caseworkers?," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20031, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
- Michael Lechner & Jana Mareckova, 2022. "Modified Causal Forest," Papers 2209.03744, arXiv.org.
- Lechner, Michael & Wunsch, Conny, 2013.
"Sensitivity of matching-based program evaluations to the availability of control variables,"
Labour Economics, Elsevier, vol. 21(C), pages 111-121.
- Lechner, Michael & Wunsch, Conny, 2011. "Sensitivity of matching-based program evaluations to the availability of control variables," Economics Working Paper Series 1105, University of St. Gallen, School of Economics and Political Science.
- Lechner, Michael & Wunsch, Conny, 2011. "Sensitivity of Matching-Based Program Evaluations to the Availability of Control Variables," IZA Discussion Papers 5553, Institute of Labor Economics (IZA).
- Michael Lechner & Conny Wunsch, 2011. "Sensitivity of Matching-Based Program Evaluations to the Availability of Control Variables," CESifo Working Paper Series 3381, CESifo.
- Lechner, Michael & Wunsch, Conny, 2011. "Sensitivity of matching-based program evaluations to the availability of control variables," CEPR Discussion Papers 8294, C.E.P.R. Discussion Papers.
- 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.
- Michael Knaus & Michael Lechner & Anthony Strittmatter, 2017. "Heterogeneous Employment Effects of Job Search Programmes: A Machine Learning Approach," Papers 1709.10279, arXiv.org, revised May 2018.
- Knaus, Michael C. & Lechner, Michael & Strittmatter, Anthony, 2017. "Heterogeneous Employment Effects of Job Search Programmes: A Machine Learning Approach," Economics Working Paper Series 1711, University of St. Gallen, School of Economics and Political Science.
- Lechner, Michael & Strittmatter, Anthony & Knaus, Michael C., 2017. "Heterogeneous Employment Effects of Job Search Programmes: A Machine Learning Approach," CEPR Discussion Papers 12224, C.E.P.R. Discussion Papers.
- Knaus, Michael C. & Lechner, Michael & Strittmatter, Anthony, 2017. "Heterogeneous Employment Effects of Job Search Programmes: A Machine Learning Approach," IZA Discussion Papers 10961, Institute of Labor Economics (IZA).
- 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.
- Knaus, Michael C. & Lechner, Michael & Strittmatter, Anthony, 2018. "Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence," IZA Discussion Papers 12039, Institute of Labor Economics (IZA).
- Michael C. Knaus & Michael Lechner & Anthony Strittmatter, 2018. "Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence," Papers 1810.13237, arXiv.org, revised Dec 2018.
- Lechner, Michael & Knaus, Michael C. & Strittmatter, Anthony, 2018. "Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence," CEPR Discussion Papers 13402, C.E.P.R. Discussion Papers.
- Knaus, Michael C. & Lechner, Michael & anthony.strittmatter@unisg.ch, 2018. "Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence," Economics Working Paper Series 1817, University of St. Gallen, School of Economics and Political Science.
- Devin G. Pope & Justin R. Sydnor, 2011. "Implementing Anti-discrimination Policies in Statistical Profiling Models," American Economic Journal: Economic Policy, American Economic Association, vol. 3(3), pages 206-231, August.
- Michael Lechner & Ruth Miquel & Conny Wunsch, 2011.
"Long‐Run Effects Of Public Sector Sponsored Training In West Germany,"
Journal of the European Economic Association, European Economic Association, vol. 9(4), pages 742-784, August.
- Michael Lechner & Ruth Miquel & Conny Wunsch, 2004. "Long-run Effects of Public Sector Sponsored Training in West Germany," University of St. Gallen Department of Economics working paper series 2004 2004-19, Department of Economics, University of St. Gallen.
- Lechner, Michael & Miquel, Ruth & Wunsch, Conny, 2005. "Long-run effects of public sector sponsored training in West Germany," IAB-Discussion Paper 200503, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
- Miquel, Ruth & Lechner, Michael & Wunsch, Conny, 2005. "Long-Run Effects of Public Sector Sponsored Training in West Germany," ZEW Discussion Papers 05-02, ZEW - Leibniz Centre for European Economic Research.
- Lechner, Michael & Miquel, Ruth & Wunsch, Conny, 2004. "Long-Run Effects of Public Sector Sponsored Training in West Germany," IZA Discussion Papers 1443, Institute of Labor Economics (IZA).
- Miquel, Ruth & Lechner, Michael & Wunsch, Conny, 2005. "Long run Effects of Public Sector Sponsored Training in West Germany," CEPR Discussion Papers 4851, C.E.P.R. Discussion Papers.
- 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.
- Michael Lechner, 1999.
"Nonparametric bounds on employment and income effects of continuous vocational training in East Germany,"
Econometrics Journal, Royal Economic Society, vol. 2(1), pages 1-28.
- Lechner, Michael, 1996. "Nonparametric bounds on employment and income effects of continuous vocational training in East Germany," ZEW Discussion Papers 96-31, ZEW - Leibniz Centre for European Economic Research.
- Lechner, Michael, 1999. "Earnings and Employment Effects of Continuous Off-the-Job Training in East Germany after Unification," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(1), pages 74-90, January.
- James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998.
"Characterizing Selection Bias Using Experimental Data,"
Econometrica, Econometric Society, vol. 66(5), pages 1017-1098, September.
- James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," NBER Working Papers 6699, National Bureau of Economic Research, Inc.
- Athey, Susan & Imbens, Guido W., 2019.
"Machine Learning Methods Economists Should Know About,"
Research Papers
3776, Stanford University, Graduate School of Business.
- Susan Athey & Guido Imbens, 2019. "Machine Learning Methods Economists Should Know About," Papers 1903.10075, arXiv.org.
- 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.
- Guido Imbens & Jeffrey M. 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.
- Wooldridge, Jeffrey M. & Imbens, Guido, 2009. "Recent Developments in the Econometrics of Program Evaluation," Scholarly Articles 3043416, Harvard University Department of Economics.
- Imbens, Guido W. & Wooldridge, Jeffrey M., 2008. "Recent Developments in the Econometrics of Program Evaluation," IZA Discussion Papers 3640, Institute of Labor Economics (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.
- Huber, Martin & Lechner, Michael & Wunsch, Conny, 2013. "The performance of estimators based on the propensity score," Journal of Econometrics, Elsevier, vol. 175(1), pages 1-21.
- Kristine Langenbucher, 2015. "How demanding are eligibility criteria for unemployment benefits, quantitative indicators for OECD and EU countries," OECD Social, Employment and Migration Working Papers 166, OECD Publishing.
- Céline Piton & François Rycx, 2020.
"The Heterogeneous Employment Outcomes of First- and Second-generation Immigrants in Belgium,"
LIDAM Discussion Papers IRES
2020007, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
- Céline Piton & François Rycx, 2020. "The heterogeneous employment outcomes of first- and second-generation immigrants in Belgium," Working Paper Research 381, National Bank of Belgium.
- Piton, Céline & Rycx, François, 2020. "The Heterogeneous Employment Outcomes of First- and Second-Generation Immigrants in Belgium," IZA Discussion Papers 13004, Institute of Labor Economics (IZA).
- Céline Piton & François Rycx, 2020. "The Heterogeneous Employment Outcomes of First- and Second-generation Immigrants in Belgium," Working Papers CEB 20-002, ULB -- Universite Libre de Bruxelles.
- Faltings, Richard & Krumer, Alex & Lechner, Michael, 2019. "Rot-Jaune-Verde. Language and Favoritism: Evidence from Swiss Soccer," Economics Working Paper Series 1915, University of St. Gallen, School of Economics and Political Science.
- Ajay Agrawal & Joshua Gans & Avi Goldfarb, 2019. "The Economics of Artificial Intelligence: An Agenda," NBER Books, National Bureau of Economic Research, Inc, number agra-1.
- Victor Chernozhukov & Iván Fernández‐Val & Ye Luo, 2018.
"The Sorted Effects Method: Discovering Heterogeneous Effects Beyond Their Averages,"
Econometrica, Econometric Society, vol. 86(6), pages 1911-1938, November.
- Victor Chernozhukov & Ivan Fernandez-Val & Ye Luo, 2015. "The sorted effects method: discovering heterogeneous effects beyond their averages," CeMMAP working papers 74/15, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Ye Luo, 2015. "The sorted effects method: discovering heterogeneous effects beyond their averages," CeMMAP working papers CWP74/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Ye Luo, 2015. "The Sorted Effects Method: Discovering Heterogeneous Effects Beyond Their Averages," Papers 1512.05635, arXiv.org, revised May 2018.
- Susan Athey & Guido W. Imbens, 2019. "Machine Learning Methods That Economists Should Know About," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 685-725, August.
- Michael Lechner, 2002.
"Some practical issues in the evaluation of heterogeneous labour market programmes by matching methods,"
Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 165(1), pages 59-82, February.
- Michael Lechner, 2005. "Some practical issues in the evaluation of heterogeneous labour market programmes by matching methods," Labor and Demography 0505006, University Library of Munich, Germany.
- Sianesi, Barbara, 2008. "Differential effects of active labour market programs for the unemployed," Labour Economics, Elsevier, vol. 15(3), pages 370-399, June.
- Agrawal, Ajay & Gans, Joshua & Goldfarb, Avi (ed.), 2019. "The Economics of Artificial Intelligence," National Bureau of Economic Research Books, University of Chicago Press, number 9780226613338.
- Vira Semenova & Victor Chernozhukov, 2021. "Debiased machine learning of conditional average treatment effects and other causal functions," The Econometrics Journal, Royal Economic Society, vol. 24(2), pages 264-289.
- Vikström, Johan, 2017. "Dynamic treatment assignment and evaluation of active labor market policies," Labour Economics, Elsevier, vol. 49(C), pages 42-54.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Ulrike Unterhofer, 2022. "Peer Effects in Labor Market Training," Papers 2211.12366, arXiv.org, revised Jun 2023.
- Michael Lechner & Jana Mareckova, 2024. "Comprehensive Causal Machine Learning," Papers 2405.10198, arXiv.org.
- Ulrike Unterhofer & Conny Wunsch, 2022. "Macroeconomic Effects of Active Labour Market Policies: A Novel Instrumental Variables Approach," Papers 2211.12437, arXiv.org.
- Kleifgen, Eva & Lang, Julia, 2022. "Should I Train Or Should I Go? Estimating Treatment Effects of Retraining on Regional and Occupational Mobility," VfS Annual Conference 2022 (Basel): Big Data in Economics 264069, Verein für Socialpolitik / German Economic Association.
- 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.
- Daniel Goller & Tamara Harrer & Michael Lechner & Joachim Wolff, 2021. "Active labour market policies for the long-term unemployed: New evidence from causal machine learning," Papers 2106.10141, arXiv.org, revised May 2023.
- Goller, Daniel & Harrer, Tamara & Lechner, Michael & Wolff, Joachim, 2021. "Active Labour Market Policies for the Long-Term Unemployed: New Evidence from Causal Machine Learning," IZA Discussion Papers 14486, Institute of Labor Economics (IZA).
- Patrick Rehill & Nicholas Biddle, 2023. "Transparency challenges in policy evaluation with causal machine learning -- improving usability and accountability," Papers 2310.13240, arXiv.org, revised Mar 2024.
- Michael C Knaus, 2022.
"Double machine learning-based programme evaluation under unconfoundedness [Econometric methods for program evaluation],"
The Econometrics Journal, Royal Economic Society, vol. 25(3), pages 602-627.
- Knaus, Michael C., 2020. "Double Machine Learning based Program Evaluation under Unconfoundedness," Economics Working Paper Series 2004, University of St. Gallen, School of Economics and Political Science.
- Knaus, Michael C., 2020. "Double Machine Learning Based Program Evaluation under Unconfoundedness," IZA Discussion Papers 13051, Institute of Labor Economics (IZA).
- Michael C. Knaus, 2020. "Double Machine Learning based Program Evaluation under Unconfoundedness," Papers 2003.03191, arXiv.org, revised Jun 2022.
- Nora Bearth & Michael Lechner, 2024. "Causal Machine Learning for Moderation Effects," Papers 2401.08290, arXiv.org, revised Apr 2024.
- Steffen Mink & Daria Loginova & Stefan Mann, 2024. "Wolves' contribution to structural change in grazing systems among swiss alpine summer farms: The evidence from causal random forest," Journal of Agricultural Economics, Wiley Blackwell, vol. 75(1), pages 201-217, February.
- Mueller, Andreas I. & Spinnewijn, Johannes, 2023.
"The Nature of Long-Term Unemployment: Predictability, Heterogeneity and Selection,"
CEPR Discussion Papers
17913, C.E.P.R. Discussion Papers.
- Andreas I. Mueller & Johannes Spinnewijn, 2023. "The Nature of Long-Term Unemployment: Predictability, Heterogeneity and Selection," NBER Working Papers 30979, National Bureau of Economic Research, Inc.
- Mueller, Andreas I. & Spinnewijn, Johannes, 2023. "The Nature of Long-Term Unemployment: Predictability, Heterogeneity and Selection," IZA Discussion Papers 15955, Institute of Labor Economics (IZA).
- Daniel Boller & Michael Lechner & Gabriel Okasa, 2021.
"The Effect of Sport in Online Dating: Evidence from Causal Machine Learning,"
Papers
2104.04601, arXiv.org.
- Boller, Daniel & Lechner, Michael & Okasa, Gabriel, 2021. "The Effect of Sport in Online Dating: Evidence from Causal Machine Learning," IZA Discussion Papers 14259, Institute of Labor Economics (IZA).
- Boller, Daniel & Lechner, Michael & Okasa, Gabriel, 2021. "The Effect of Sport in Online Dating: Evidence from Causal Machine Learning," Economics Working Paper Series 2104, University of St. Gallen, School of Economics and Political Science.
- 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.
- Kelvin Mulungu & Zewdu Ayalew Abro & Wambui Beatrice Muriithi & Menale Kassie & Miachael Kidoido & Subramanian Sevgan & Samira Mohamed & Chrysantus Tanga & Fathiya Khamis, 2024. "One size does not fit all: Heterogeneous economic impact of integrated pest management practices for mango fruit flies in Kenya—a machine learning approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 75(1), pages 261-279, February.
- Gert Bijnens & Shyngys Karimov & Jozef Konings, 2023. "Does Automatic Wage Indexation Destroy Jobs? A Machine Learning Approach," De Economist, Springer, vol. 171(1), pages 85-117, March.
- Bert van Landeghem & Sam Desiere & Ludo Struyven, 2021. "Statistical profiling of unemployed jobseekers," IZA World of Labor, Institute of Labor Economics (IZA), pages 483-483, February.
- Michael Lechner & Jana Mareckova, 2022. "Modified Causal Forest," Papers 2209.03744, arXiv.org.
- Ulrike Huemer & Rainer Eppel & Marion Kogler & Helmut Mahringer & Lukas Schmoigl & David Pichler, 2021. "Effektivität von Instrumenten der aktiven Arbeitsmarktpolitik in unterschiedlichen Konjunkturphasen," WIFO Studies, WIFO, number 67250.
- Phi-Hung Nguyen & Jung-Fa Tsai & Ihsan Erdem Kayral & Ming-Hua Lin, 2021. "Unemployment Rates Forecasting with Grey-Based Models in the Post-COVID-19 Period: A Case Study from Vietnam," Sustainability, MDPI, vol. 13(14), pages 1-27, July.
- Martins, Pedro S., 2021.
"Employee training and firm performance: Evidence from ESF grant applications,"
Labour Economics, Elsevier, vol. 72(C).
- Martins, Pedro S., 2021. "Employee Training and Firm Performance: Evidence from ESF Grant Applications," IZA Discussion Papers 14153, Institute of Labor Economics (IZA).
- Pedro S. Martins, 2021. "Employee training and firm performance: Evidence from ESF grant applications," OECD Productivity Working Papers 23, OECD Publishing.
- Körtner, John & Bonoli, Giuliano, 2021. "Predictive Algorithms in the Delivery of Public Employment Services," SocArXiv j7r8y, Center for Open Science.
- Strittmatter, Anthony, 2023. "What is the value added by using causal machine learning methods in a welfare experiment evaluation?," Labour Economics, Elsevier, vol. 84(C).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Daniel Goller & Tamara Harrer & Michael Lechner & Joachim Wolff, 2021.
"Active labour market policies for the long-term unemployed: New evidence from causal machine learning,"
Papers
2106.10141, arXiv.org, revised May 2023.
- 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.
- Goller, Daniel & Harrer, Tamara & Lechner, Michael & Wolff, Joachim, 2021. "Active Labour Market Policies for the Long-Term Unemployed: New Evidence from Causal Machine Learning," IZA Discussion Papers 14486, Institute of Labor Economics (IZA).
- Michael C Knaus, 2022.
"Double machine learning-based programme evaluation under unconfoundedness [Econometric methods for program evaluation],"
The Econometrics Journal, Royal Economic Society, vol. 25(3), pages 602-627.
- Knaus, Michael C., 2020. "Double Machine Learning Based Program Evaluation under Unconfoundedness," IZA Discussion Papers 13051, Institute of Labor Economics (IZA).
- Michael C. Knaus, 2020. "Double Machine Learning based Program Evaluation under Unconfoundedness," Papers 2003.03191, arXiv.org, revised Jun 2022.
- Knaus, Michael C., 2020. "Double Machine Learning based Program Evaluation under Unconfoundedness," Economics Working Paper Series 2004, University of St. Gallen, School of Economics and Political Science.
- 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.
- Doerr, Annabelle, 2022. "Vocational training for female job returners - Effects on employment, earnings and job quality," Labour Economics, Elsevier, vol. 75(C).
- 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).
- Goller, Daniel & Lechner, Michael & Moczall, Andreas & Wolff, Joachim, 2019. "Does the estimation of the propensity score by machine learning improve matching estimation? The case of Germany’s programmes for long term unemployed," Economics Working Paper Series 1910, University of St. Gallen, School of Economics and Political Science.
- Goller, Daniel & Lechner, Michael & Moczall, Andreas & Wolff, Joachim, 2019. "Does the Estimation of the Propensity Score by Machine Learning Improve Matching Estimation? The Case of Germany's Programmes for Long Term Unemployed," IZA Discussion Papers 12526, Institute of Labor Economics (IZA).
- 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," IAB-Discussion Paper 202005, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
- 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.
- Knaus, Michael C. & Lechner, Michael & Strittmatter, Anthony, 2017. "Heterogeneous Employment Effects of Job Search Programmes: A Machine Learning Approach," IZA Discussion Papers 10961, Institute of Labor Economics (IZA).
- Michael Knaus & Michael Lechner & Anthony Strittmatter, 2017. "Heterogeneous Employment Effects of Job Search Programmes: A Machine Learning Approach," Papers 1709.10279, arXiv.org, revised May 2018.
- Lechner, Michael & Strittmatter, Anthony & Knaus, Michael C., 2017. "Heterogeneous Employment Effects of Job Search Programmes: A Machine Learning Approach," CEPR Discussion Papers 12224, C.E.P.R. Discussion Papers.
- Knaus, Michael C. & Lechner, Michael & Strittmatter, Anthony, 2017. "Heterogeneous Employment Effects of Job Search Programmes: A Machine Learning Approach," Economics Working Paper Series 1711, University of St. Gallen, School of Economics and Political Science.
- 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).
- Gabriel Okasa, 2022. "Meta-Learners for Estimation of Causal Effects: Finite Sample Cross-Fit Performance," Papers 2201.12692, arXiv.org.
- 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.
- Caliendo, Marco & Mahlstedt, Robert & van den Berg, Gerard & Vikström, Johan, 2020. "Side effects of labor market policies," Working Paper Series 2020:20, IFAU - Institute for Evaluation of Labour Market and Education Policy.
- Caliendo, Marco & Mahlstedt, Robert & van den Berg, Gerard J. & Vikström, Johan, 2020. "Side Effects of Labor Market Policies," IZA Discussion Papers 13846, Institute of Labor Economics (IZA).
- Marco Caliendo & Robert Mahlstedt & Gerard J. van den Berg & Johan Vikström, 2020. "Side Effects of Labor Market Policies," CEPA Discussion Papers 22, Center for Economic Policy Analysis.
- 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.
- Marco Caliendo & Robert Mahlstedt & Oscar A. Mitnik, 2014. "Unobservable, but Unimportant?: The Influence of Personality Traits (and Other Usually Unobserved Variables) for the Evaluation of Labor Market Policies," Discussion Papers of DIW Berlin 1407, DIW Berlin, German Institute for Economic Research.
- Caliendo, Marco & Mahlstedt, Robert & Mitnik, Oscar A., 2014. "Unobservable, but Unimportant? The Influence of Personality Traits (and Other Usually Unobserved Variables) for the Evaluation of Labor Market Policies," IZA Discussion Papers 8337, Institute of Labor Economics (IZA).
- 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.
- Michael Lechner & Jana Mareckova, 2022. "Modified Causal Forest," Papers 2209.03744, arXiv.org.
- 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.
- Mörk, Eva & Ottosson, Lillit & Vikman, Ulrika, 2022. "To Work or Not to Work? Effects of Temporary Public Employment on Future Employment and Benefits," IZA Discussion Papers 15071, Institute of Labor Economics (IZA).
- 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.
- 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.
- Brändle, Tobias & Fervers, Lukas, 2018. "Give it Another Try: What are the Effects of a Job Creation Scheme Especially Designed for Hard-to-Place Workers?," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181536, Verein für Socialpolitik / German Economic Association.
- 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.
- Daniel Goller, 2023.
"Analysing a built-in advantage in asymmetric darts contests using causal machine learning,"
Annals of Operations Research, Springer, vol. 325(1), pages 649-679, June.
- Daniel Goller, 2020. "Analysing a built-in advantage in asymmetric darts contests using causal machine learning," Papers 2008.07165, arXiv.org.
- Goller, Daniel, 2020. "Analysing a built-in advantage in asymmetric darts contests using causal machine learning," Economics Working Paper Series 2013, University of St. Gallen, School of Economics and Political Science.
- Andrea Albanese & Bart Cockx & Yannick Thuy, 2020.
"Working time reductions at the end of the career: Do they prolong the time spent in employment?,"
Empirical Economics, Springer, vol. 59(1), pages 99-141, July.
- Andrea Albanese & Bart Cockx & Yannick Thuy, 2015. "Working Time Reductions at the End of the Career. Do they prolong the Time Spent in Employment?," LIDAM Discussion Papers IRES 2015024, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
- Andrea Albanese & Bart Cockx & Yannick Thuy, 2016. "Working Time Reductions at the End of the Career. Do they Prolong the Time Spent in Employment?," CESifo Working Paper Series 5695, CESifo.
- Albanese, Andrea & Cockx, Bart & Thuy, Yannick, 2015. "Working Time Reductions at the End of the Career: Do They Prolong the Time Spent in Employment?," IZA Discussion Papers 9619, Institute of Labor Economics (IZA).
- Andrea Albanese & Bart Cockx & Yannick Thuy, 2015. "Working Time Reductions At The End Of The Career. Do They Prolong The Time Spent In Employment?," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 15/916, Ghent University, Faculty of Economics and Business Administration.
- Lechner, Michael & Wunsch, Conny, 2013.
"Sensitivity of matching-based program evaluations to the availability of control variables,"
Labour Economics, Elsevier, vol. 21(C), pages 111-121.
- Lechner, Michael & Wunsch, Conny, 2011. "Sensitivity of Matching-Based Program Evaluations to the Availability of Control Variables," IZA Discussion Papers 5553, Institute of Labor Economics (IZA).
- Lechner, Michael & Wunsch, Conny, 2011. "Sensitivity of matching-based program evaluations to the availability of control variables," Economics Working Paper Series 1105, University of St. Gallen, School of Economics and Political Science.
- Michael Lechner & Conny Wunsch, 2011. "Sensitivity of Matching-Based Program Evaluations to the Availability of Control Variables," CESifo Working Paper Series 3381, CESifo.
- Lechner, Michael & Wunsch, Conny, 2011. "Sensitivity of matching-based program evaluations to the availability of control variables," CEPR Discussion Papers 8294, C.E.P.R. Discussion Papers.
- 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.
- Michael C. Knaus & Michael Lechner & Anthony Strittmatter, 2018. "Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence," Papers 1810.13237, arXiv.org, revised Dec 2018.
- Knaus, Michael C. & Lechner, Michael & Strittmatter, Anthony, 2018. "Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence," IZA Discussion Papers 12039, Institute of Labor Economics (IZA).
- Lechner, Michael & Knaus, Michael C. & Strittmatter, Anthony, 2018. "Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence," CEPR Discussion Papers 13402, C.E.P.R. Discussion Papers.
- Knaus, Michael C. & Lechner, Michael & anthony.strittmatter@unisg.ch, 2018. "Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence," Economics Working Paper Series 1817, University of St. Gallen, School of Economics and Political Science.
More about this item
Keywords
Policy evaluation; active labour market policy; causal machine learning; modified causal forest; conditional average treatment effects;All these keywords.
JEL classification:
- J68 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Public Policy
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2020-02-17 (Big Data)
- NEP-EUR-2020-02-17 (Microeconomic European Issues)
- NEP-LAB-2020-02-17 (Labour Economics)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:usg:econwp:2020:01. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/vwasgch.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.