IDEAS home Printed from https://ideas.repec.org/p/tep/teppwp/wp24-01.html
   My bibliography  Save this paper

Is training helpful in boosting the self-confidence and professional integration of young people not in employment, education, or training? Results from a randomized

Author

Listed:
  • Nicolas Moreau
  • Alexis Parmentier
  • Mylène Lebon-Eyquem

Abstract

No abstract is available for this item.

Suggested Citation

  • Nicolas Moreau & Alexis Parmentier & Mylène Lebon-Eyquem, 2024. "Is training helpful in boosting the self-confidence and professional integration of young people not in employment, education, or training? Results from a randomized," TEPP Working Paper 2024-01, TEPP.
    • Handle: RePEc:tep:teppwp:wp24-01
    as

    Download full text from publisher

    File URL: http://www.tepp-repec.eu/RePEc/files/teppwp/tepp-wp-24-01-nm-ap-ml.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Anderson, Michael L., 2008. "Multiple Inference and Gender Differences in the Effects of Early Intervention: A Reevaluation of the Abecedarian, Perry Preschool, and Early Training Projects," Journal of the American Statistical Association, American Statistical Association, vol. 103(484), pages 1481-1495.
    2. Guido W. Imbens & Michal Kolesár, 2016. "Robust Standard Errors in Small Samples: Some Practical Advice," The Review of Economics and Statistics, MIT Press, vol. 98(4), pages 701-712, October.
    3. James G. MacKinnon & Matthew D. Webb, 2018. "The wild bootstrap for few (treated) clusters," Econometrics Journal, Royal Economic Society, vol. 21(2), pages 114-135, June.
    4. David Card & Jochen Kluve & Andrea Weber, 2010. "Active Labour Market Policy Evaluations: A Meta-Analysis," Economic Journal, Royal Economic Society, vol. 120(548), pages 452-477, November.
    5. Heckman, James J. & Kautz, Tim, 2012. "Hard evidence on soft skills," Labour Economics, Elsevier, vol. 19(4), pages 451-464.
    6. Kluve, Jochen, 2010. "The effectiveness of European active labor market programs," Labour Economics, Elsevier, vol. 17(6), pages 904-918, December.
    7. Chen, Si & Schildberg-Hörisch, Hannah, 2019. "Looking at the bright side: The motivational value of confidence," European Economic Review, Elsevier, vol. 120(C).
    8. repec:adr:anecst:y:2008:i:91-92:p:17 is not listed on IDEAS
    9. Alberto Abadie & Alexis Diamond & Jens Hainmueller, 2015. "Comparative Politics and the Synthetic Control Method," American Journal of Political Science, John Wiley & Sons, vol. 59(2), pages 495-510, February.
    10. 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.
    11. Francesco Filippucci, 2022. "What Do NEETs Need? The Effect of Combining Activation Policies and Cash Transfers," PSE Working Papers halshs-03524083, HAL.
    12. Schlosser, Analia & Shanan, Yannay, 2022. "Fostering Soft Skills in Active Labor Market Programs: Evidence from a Large-Scale RCT," IZA Discussion Papers 15104, Institute of Labor Economics (IZA).
    13. Joseph P. Romano & Michael Wolf, 2005. "Exact and Approximate Stepdown Methods for Multiple Hypothesis Testing," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 94-108, March.
    14. Annette Bergemann & Gerard J. Van Den Berg, 2008. "Active Labor Market Policy Effects for Women in Europe - A Survey," Annals of Economics and Statistics, GENES, issue 91-92, pages 385-408.
    15. 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.
    16. Wendy V. Cunningham & Paula Villaseñor, 2016. "Employer Voices, Employer Demands, and Implications for Public Skills Development Policy Connecting the Labor and Education Sectors," The World Bank Research Observer, World Bank, vol. 31(1), pages 102-134.
    17. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    18. Thomas A. Mroz & Timothy H. Savage, 2006. "The Long-Term Effects of Youth Unemployment," Journal of Human Resources, University of Wisconsin Press, vol. 41(2).
    19. Yann Algan & Elizabeth Beasley & Sylvana Côté & Jungwee Park & Richard E. Tremblay & Frank Vitaro, 2022. "The Impact of Childhood Social Skills and Self-Control Training on Economic and Noneconomic Outcomes: Evidence from a Randomized Experiment Using Administrative Data," American Economic Review, American Economic Association, vol. 112(8), pages 2553-2579, August.
    20. James G. MacKinnon & Matthew D. Webb, 2019. "Wild Bootstrap Randomization Inference for Few Treated Clusters," Advances in Econometrics, in: The Econometrics of Complex Survey Data, volume 39, pages 61-85, Emerald Group Publishing Limited.
    21. Romano, Joseph P. & Wolf, Michael, 2016. "Efficient computation of adjusted p-values for resampling-based stepdown multiple testing," Statistics & Probability Letters, Elsevier, vol. 113(C), pages 38-40.
    22. Daniel Friedlander & David H. Greenberg & Philip K. Robins, 1997. "Evaluating Government Training Programs for the Economically Disadvantaged," Journal of Economic Literature, American Economic Association, vol. 35(4), pages 1809-1855, December.
    23. Acevedo, Paloma & Cruces, Guillermo & Gertler, Paul & Martinez, Sebastian, 2020. "How vocational education made women better off but left men behind," Labour Economics, Elsevier, vol. 65(C).
    24. Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2010. "Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 493-505.
    25. Imbens,Guido W. & Rubin,Donald B., 2015. "Causal Inference for Statistics, Social, and Biomedical Sciences," Cambridge Books, Cambridge University Press, number 9780521885881, January.
    Full references (including those not matched with items on IDEAS)

    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.
    1. James G. MacKinnon, 2019. "How cluster‐robust inference is changing applied econometrics," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 52(3), pages 851-881, August.
    2. Lindo, Jason M. & Pineda-Torres, Mayra, 2021. "New Evidence on the Effects of Mandatory Waiting Periods for Abortion," Journal of Health Economics, Elsevier, vol. 80(C).
    3. MacKinnon, James G. & Nielsen, Morten Ørregaard & Webb, Matthew D., 2023. "Cluster-robust inference: A guide to empirical practice," Journal of Econometrics, Elsevier, vol. 232(2), pages 272-299.
    4. Camargo Juliana & Lima Lycia & Riva Flavio & Souza André Portela, 2021. "Technical Education, Non-cognitive Skills and Labor Market Outcomes: Experimental Evidence from Brazil," IZA Journal of Labor Economics, Sciendo & Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 10(1), pages 1-34, January.
    5. Matthew D. Webb, 2023. "Reworking wild bootstrap‐based inference for clustered errors," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 56(3), pages 839-858, August.
    6. Eleanor Golightly & Pamela Meyerhofer, 2022. "Does Paid Family Leave Cause Mothers to Have More Children? Evidence from California," Journal of Labor Research, Springer, vol. 43(2), pages 203-238, June.
    7. Abdellatif Chatri & Khadija Hadef & Naima Samoudi, 2021. "Micro-econometric evaluation of subsidized employment in morocco: the case of the "Idmaj" program," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 55(1), pages 1-13, December.
    8. James G. MacKinnon & Matthew D. Webb, 2020. "When and How to Deal with Clustered Errors in Regression Models," Working Paper 1421, Economics Department, Queen's University.
    9. Bruno Ferman & Cristine Pinto & Vitor Possebom, 2020. "Cherry Picking with Synthetic Controls," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(2), pages 510-532, March.
    10. Dennis Shen & Peng Ding & Jasjeet Sekhon & Bin Yu, 2022. "Same Root Different Leaves: Time Series and Cross-Sectional Methods in Panel Data," Papers 2207.14481, arXiv.org, revised Oct 2022.
    11. Acevedo, Paloma & Cruces, Guillermo & Gertler, Paul & Martinez, Sebastian, 2020. "How vocational education made women better off but left men behind," Labour Economics, Elsevier, vol. 65(C).
    12. Peter Backus & Thien Nguyen, 2021. "The Effect of the Sex Buyer Law on the Market for Sex, Sexual Health and Sexual Violence," Economics Discussion Paper Series 2106, Economics, The University of Manchester.
    13. Sviták, Jan & Tichem, Jan & Haasbeek, Stefan, 2021. "Price effects of search advertising restrictions," International Journal of Industrial Organization, Elsevier, vol. 77(C).
    14. Calero, Carla & Gonzalez Diez, Veronica & Soares, Yuri S.D. & Kluve, Jochen & Corseuil, Carlos Henrique, 2017. "Can arts-based interventions enhance labor market outcomes among youth? Evidence from a randomized trial in Rio de Janeiro," Labour Economics, Elsevier, vol. 45(C), pages 131-142.
    15. Mergele, Lukas & Weber, Michael, 2020. "Public employment services under decentralization: Evidence from a natural experiment," Journal of Public Economics, Elsevier, vol. 182(C).
    16. Hansen, Bruce E. & Lee, Seojeong, 2019. "Asymptotic theory for clustered samples," Journal of Econometrics, Elsevier, vol. 210(2), pages 268-290.
    17. Chowdhury, Shyamal & Hasan, Syed & Sharma, Uttam, 2024. "The Role of Trainee Selection in the Effectiveness of Vocational Training: Evidence from a Randomized Controlled Trial in Nepal," IZA Discussion Papers 16705, Institute of Labor Economics (IZA).
    18. Capuno, Joseph & Kraft, Aleli & O'Donnell, Owen, 2021. "Effectiveness of clinic-based cardiovascular disease prevention: A randomized encouragement design experiment in the Philippines," Social Science & Medicine, Elsevier, vol. 283(C).
    19. Billy Ferguson & Brad Ross, 2020. "Assessing the Sensitivity of Synthetic Control Treatment Effect Estimates to Misspecification Error," Papers 2012.15367, arXiv.org, revised Feb 2021.
    20. Pohlan, Laura, 2019. "Unemployment and social exclusion," Journal of Economic Behavior & Organization, Elsevier, vol. 164(C), pages 273-299.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    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:tep:teppwp:wp24-01. 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: Sylvain (email available below). General contact details of provider: https://edirc.repec.org/data/teppnfr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.