The Economic Effect of Gaining a New Qualification Later in Life
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Susan Dynarski & Brian Jacob & Daniel Kreisman, 2018.
"How important are fixed effects and time trends in estimating returns to schooling? Evidence from a replication of Jacobson, Lalonde, and Sullivan, 2005,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(7), pages 1098-1108, November.
- Dynarski, Susan & Jacob, Brian A. & Kreisman, Daniel, 2018. "How Important Are Fixed Effects and Time Trends in Estimating Returns to Schooling? Evidence from a Replication of Jacobson, Lalonde and Sullivan, 2005," IZA Discussion Papers 11935, Institute of Labor Economics (IZA).
- 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.
- 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.
- Howard S. Bloom, 1990. "Back to Work: Testing Reemployment Services for Displaced Workers," Books from Upjohn Press, W.E. Upjohn Institute for Employment Research, number btw.
- Ashenfelter, Orley & Card, David, 1985.
"Using the Longitudinal Structure of Earnings to Estimate the Effect of Training Programs,"
The Review of Economics and Statistics, MIT Press, vol. 67(4), pages 648-660, November.
- Orley Ashenfelter & David E. Card, 1984. "Using the Longitudinal Structure of Earnings to Estimate the Effect of Training Programs," Working Papers 554, Princeton University, Department of Economics, Industrial Relations Section..
- Orley Ashenfelter & David Card, 1984. "Using the Longitudinal Structure of Earnings to Estimate the Effect of Training Programs," NBER Working Papers 1489, National Bureau of Economic Research, Inc.
- Harmon, Colm & Walker, Ian, 1995.
"Estimates of the Economic Return to Schooling for the United Kingdom,"
American Economic Review, American Economic Association, vol. 85(5), pages 1278-1286, December.
- Ian Walker & Colm Harmon, 1995. "Estimates of the economic return to schooling for the United Kingdom," Open Access publications 10197/647, School of Economics, University College Dublin.
- Zeidenberg, Matthew & Scott, Marc & Belfield, Clive, 2015. "What about the non-completers? The labor market returns to progress in community college," Economics of Education Review, Elsevier, vol. 49(C), pages 142-156.
- Joshua D. Angrist & Alan B. Keueger, 1991.
"Does Compulsory School Attendance Affect Schooling and Earnings?,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(4), pages 979-1014.
- Joshua D. Angrist & Alan B. Krueger, 1990. "Does Compulsory School Attendance Affect Schooling and Earnings?," Working Papers 653, Princeton University, Department of Economics, Industrial Relations Section..
- Joshua D. Angrist & Alan B. Krueger, 1990. "Does Compulsory School Attendance Affect Schooling and Earnings?," NBER Working Papers 3572, National Bureau of Economic Research, Inc.
- Imbens,Guido W. & Rubin,Donald B., 2015. "Causal Inference for Statistics, Social, and Biomedical Sciences," Cambridge Books, Cambridge University Press, number 9780521885881, September.
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.- 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.
- 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.
- Denis Fougère & Nicolas Jacquemet, 2020.
"Policy Evaluation Using Causal Inference Methods,"
SciencePo Working papers Main
hal-03455978, HAL.
- Denis Fougère & Nicolas Jacquemet, 2020. "Policy Evaluation Using Causal Inference Methods," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03455978, HAL.
- Denis Fougère & Nicolas Jacquemet, 2021. "Policy Evaluation Using Causal Inference Methods," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03098058, HAL.
- Denis Fougère & Nicolas Jacquemet, 2021. "Policy Evaluation Using Causal Inference Methods," PSE-Ecole d'économie de Paris (Postprint) hal-03098058, HAL.
- Denis Fougère & Nicolas Jacquemet, 2020. "Policy Evaluation Using Causal Inference Methods," Working Papers hal-03455978, HAL.
- Denis Fougère & Nicolas Jacquemet, 2021. "Policy Evaluation Using Causal Inference Methods," Post-Print hal-03098058, HAL.
- Denis Fougère & Nicolas Jacquemet, 2021. "Policy Evaluation Using Causal Inference Methods," SciencePo Working papers Main hal-03098058, HAL.
- Fougère, Denis & Jacquemet, Nicolas, 2020. "Policy Evaluation Using Causal Inference Methods," IZA Discussion Papers 12922, Institute of Labor Economics (IZA).
- 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, 2019. "Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium," Papers 1912.12864, arXiv.org, revised Dec 2022.
- 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).
- 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.
- 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," Economics Working Paper Series 2001, University of St. Gallen, School of Economics and Political Science.
- 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).
- 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," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 20/998, Ghent University, Faculty of Economics and Business Administration.
- 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).
- Dmitry Arkhangelsky & Guido Imbens, 2023. "Causal Models for Longitudinal and Panel Data: A Survey," Papers 2311.15458, arXiv.org, revised Jun 2024.
- 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].
- 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).
- Michael Lechner & Jana Mareckova, 2022. "Modified Causal Forest," Papers 2209.03744, arXiv.org.
- Meng, Xin & Zhao, Guochang, 2021. "The long shadow of a large scale education interruption: The intergenerational effect," Labour Economics, Elsevier, vol. 71(C).
- Alan B. Krueger, 2002.
"Inequality, Too Much of a Good Thing,"
Working Papers
845, Princeton University, Department of Economics, Industrial Relations Section..
- Alan B. Krueger, 2002. "Inequality, Too Much of a Good Thing," Working Papers 115, Princeton University, Department of Economics, Center for Economic Policy Studies..
- Davide Viviano & Jelena Bradic, 2019. "Synthetic learner: model-free inference on treatments over time," Papers 1904.01490, arXiv.org, revised Aug 2022.
- Bolzern, Benjamin & Huber, Martin, 2017.
"Testing the validity of the compulsory schooling law instrument,"
Economics Letters, Elsevier, vol. 159(C), pages 23-27.
- Bolzern, Benjamin & Huber, Martin, 2017. "Testing the validity of the compulsory schooling law instrument," FSES Working Papers 480, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
- Tymon Słoczyński, 2022.
"Interpreting OLS Estimands When Treatment Effects Are Heterogeneous: Smaller Groups Get Larger Weights,"
The Review of Economics and Statistics, MIT Press, vol. 104(3), pages 501-509, May.
- Sloczynski, Tymon, 2020. "Interpreting OLS Estimands When Treatment Effects Are Heterogeneous: Smaller Groups Get Larger Weights," IZA Discussion Papers 13283, Institute of Labor Economics (IZA).
- Tymon Sloczynski, 2020. "Interpreting OLS Estimands When Treatment Effects Are Heterogeneous: Smaller Groups Get Larger Weights," CESifo Working Paper Series 8331, CESifo.
- Novella, Rafael & Rosas-Shady, David & Freund, Richard, 2024. "Is online job training for all? Experimental evidence on the effects of a Coursera program in Costa Rica," Journal of Development Economics, Elsevier, vol. 169(C).
- Torun, Huzeyfe & Tumen, Semih, 2016.
"The effects of compulsory military service exemption on education and labor market outcomes: Evidence from a natural experiment,"
Economics of Education Review, Elsevier, vol. 54(C), pages 16-35.
- Torun, Huzeyfe & Tumen, Semih, 2015. "The Effects of Compulsory Military Service Exemption on Education and Labor Market Outcomes: Evidence from a Natural Experiment," MPRA Paper 61722, University Library of Munich, Germany.
- Huzeyfe Torun & Semih Tumen, 2015. "The Effects of Compulsory Military Service Exemption on Education and Labor Market Outcomes: Evidence from a Natural Experiment," Koç University-TUSIAD Economic Research Forum Working Papers 1509, Koc University-TUSIAD Economic Research Forum.
- Torun, Huzeyfe & Tumen, Semih, 2016. "The Effects of Compulsory Military Service Exemption on Education and Labor Market Outcomes: Evidence from a Natural Experiment," IZA Discussion Papers 10004, Institute of Labor Economics (IZA).
- Celeste K. Carruthers & Christopher Jepsen, 2020. "Vocational Education: An International Perspective," CESifo Working Paper Series 8718, CESifo.
- Lídia Farré & Roger Klein & Francis Vella, 2013.
"A parametric control function approach to estimating the returns to schooling in the absence of exclusion restrictions: an application to the NLSY,"
Empirical Economics, Springer, vol. 44(1), pages 111-133, February.
- Francis Vella & Lídia Farré & Roger Klein, 2008. "A Parametric Control Function Approach to Estimating the Returns to Schooling in the Absence of Exclusion Restrictions: An Application to the NLSY," Working Papers. Serie AD 2008-16, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
- Farré, Lídia & Klein, Roger & Vella, Francis, 2010. "A Parametric Control Function Approach to Estimating the Returns to Schooling in the Absence of Exclusion Restrictions: An Application to the NLSY," IZA Discussion Papers 4935, Institute of Labor Economics (IZA).
- Daniel J. Henderson & Anne-Charlotte Souto & Le Wang, 2020. "Higher-Order Risk–Returns to Education," JRFM, MDPI, vol. 13(11), pages 1-25, October.
- Dorothe Bonjour & Lynn F. Cherkas & Jonathan E. Haskel & Denise D. Hawkes & Tim D. Spector, 2003.
"Returns to Education: Evidence from U.K. Twins,"
American Economic Review, American Economic Association, vol. 93(5), pages 1799-1812, December.
- Haskel, Jonathan & Bonjour, Dorothe & Cherkas, Lynn & Spector, Tim, 2002. "Returns to Education: Evidence from UK Twins," CEPR Discussion Papers 3354, C.E.P.R. Discussion Papers.
- Dorothé Bonjour & Lyn Cherkas & Jonathan Haskel & Denise Hawkes & Tim Spector, 2002. "Returns to Education: Evidence from UK Twins," Working Papers 453, Queen Mary University of London, School of Economics and Finance.
- Dorothe Bonjour & Lynn Cherkas & Jonathan Haskel & Denise Hawkes & Tim Spector, 2002. "Returns to Education: Evidence from UK Twins," CEE Discussion Papers 0022, Centre for the Economics of Education, LSE.
- Green, Colin P. & Navarro-Paniagua, María & Ximénez-de-Embún, Domingo P. & Mancebón, María-Jesús, 2014. "School choice and student wellbeing," Economics of Education Review, Elsevier, vol. 38(C), pages 139-150.
More about this item
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2023-05-08 (Big Data)
- NEP-CMP-2023-05-08 (Computational Economics)
- NEP-LMA-2023-05-08 (Labor Markets - Supply, Demand, and Wages)
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:arx:papers:2304.01490. 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: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.