IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/23443.html
   My bibliography  Save this paper

Rethinking the Benefits of Youth Employment Programs: The Heterogeneous Effects of Summer Jobs

Author

Listed:
  • Jonathan M.V. Davis
  • Sara B. Heller

Abstract

This paper reports the results of two randomized field experiments, each offering different populations of youth a supported summer job in Chicago. In both experiments, the program dramatically reduces violent-crime arrests, even after the summer. It does so without improving employment, schooling, or other types of crime; if anything, property crime increases over 2-3 post-program years. To explore mechanisms, we implement a machine learning method that predicts treatment heterogeneity using observables. The method identifies a subgroup of youth with positive employment impacts, whose characteristics differ from the disconnected youth served in most employment programs. We find that employment benefiters commit more property crime than their control counterparts, and non-benefiters also show a decline in violent crime. These results do not seem consistent with typical theory about improved human capital and better labor market opportunities creating a higher opportunity cost of crime, or even with the idea that these programs just keep youth busy. We discuss several alternative mechanisms, concluding that brief youth employment programs can generate substantively important behavioral change, but for different outcomes, different youth, and different reasons than those most often considered in the literature.

Suggested Citation

  • Jonathan M.V. Davis & Sara B. Heller, 2017. "Rethinking the Benefits of Youth Employment Programs: The Heterogeneous Effects of Summer Jobs," NBER Working Papers 23443, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:23443
    Note: CH LE LS
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w23443.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. Raphael, Steven & Winter-Ember, Rudolf, 2001. "Identifying the Effect of Unemployment on Crime," Journal of Law and Economics, University of Chicago Press, vol. 44(1), pages 259-283, April.
    3. Christopher Blattman & Julian C. Jamison & Margaret Sheridan, 2017. "Reducing Crime and Violence: Experimental Evidence from Cognitive Behavioral Therapy in Liberia," American Economic Review, American Economic Association, vol. 107(4), pages 1165-1206, April.
    4. Amy Ellen Schwartz & Jacob Leos‐Urbel & Joel McMurry & Matthew Wiswall, 2021. "Making summer matter: The impact of youth employment on academic performance," Quantitative Economics, Econometric Society, vol. 12(2), pages 477-504, May.
    5. 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.
    6. Lechner, Michael & Smith, Jeffrey, 2007. "What is the value added by caseworkers?," Labour Economics, Elsevier, vol. 14(2), pages 135-151, April.
    7. Bruno Crépon & Gerard J. van den Berg, 2016. "Active Labor Market Policies," Annual Review of Economics, Annual Reviews, vol. 8(1), pages 521-546, October.
    8. Jeffrey R. Kling & Jens Ludwig & Lawrence F. Katz, 2005. "Neighborhood Effects on Crime for Female and Male Youth: Evidence from a Randomized Housing Voucher Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(1), pages 87-130.
    9. Robert J. LaLonde, 2003. "Employment and Training Programs," NBER Chapters, in: Means-Tested Transfer Programs in the United States, pages 517-586, National Bureau of Economic Research, Inc.
    10. Athey, Susan & Imbens, Guido W., 2015. "Machine Learning for Estimating Heterogeneous Causal Effects," Research Papers 3350, Stanford University, Graduate School of Business.
    11. Sara B. Heller & Anuj K. Shah & Jonathan Guryan & Jens Ludwig & Sendhil Mullainathan & Harold A. Pollack, 2017. "Thinking, Fast and Slow? Some Field Experiments to Reduce Crime and Dropout in Chicago," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(1), pages 1-54.
    12. Soohyung Lee & Azeem M. Shaikh, 2014. "Multiple Testing And Heterogeneous Treatment Effects: Re‐Evaluating The Effect Of Progresa On School Enrollment," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(4), pages 612-626, June.
    13. repec:mpr:mprres:6097 is not listed on IDEAS
    14. Heckman, James J. & Lalonde, Robert J. & Smith, Jeffrey A., 1999. "The economics and econometrics of active labor market programs," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 31, pages 1865-2097, Elsevier.
    15. Lawrence F. Katz & Jeffrey R. Kling & Jeffrey B. Liebman, 2001. "Moving to Opportunity in Boston: Early Results of a Randomized Mobility Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(2), pages 607-654.
    16. Jonathan M.V. Davis & Sara B. Heller, 2017. "Using Causal Forests to Predict Treatment Heterogeneity: An Application to Summer Jobs," American Economic Review, American Economic Association, vol. 107(5), pages 546-550, May.
    17. Bruno Crépon & Esther Duflo & Marc Gurgand & Roland Rathelot & Philippe Zamora, 2013. "Do Labor Market Policies have Displacement Effects? Evidence from a Clustered Randomized Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(2), pages 531-580.
    18. Bhattacharya, Debopam & Dupas, Pascaline, 2012. "Inferring welfare maximizing treatment assignment under budget constraints," Journal of Econometrics, Elsevier, vol. 167(1), pages 168-196.
    19. Yoav Benjamini & Abba M. Krieger & Daniel Yekutieli, 2006. "Adaptive linear step-up procedures that control the false discovery rate," Biometrika, Biometrika Trust, vol. 93(3), pages 491-507, September.
    20. David J. Deming, 2011. "Better Schools, Less Crime?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(4), pages 2063-2115.
    21. repec:hal:pseose:halshs-00840901 is not listed on IDEAS
    22. Stefanie Behncke & Markus Frölich & Michael Lechner, 2009. "Targeting Labour Market Programmes - Results from a Randomized Experiment," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 145(III), pages 221-268, September.
    23. Raphael, Steven & WINTER-EBMER, RUDOLF, 1998. "Identifying the Effect of Unemployment on Crime," University of California at San Diego, Economics Working Paper Series qt5hb4h56g, Department of Economics, UC San Diego.
    24. Alexander Gelber & Adam Isen & Judd B. Kessler, 2016. "The Effects of Youth Employment: Evidence from New York City Lotteries," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(1), pages 423-460.
    25. Brian A. Jacob & Lars Lefgren, 2003. "Are Idle Hands the Devil's Workshop? Incapacitation, Concentration, and Juvenile Crime," American Economic Review, American Economic Association, vol. 93(5), pages 1560-1577, December.
    26. Howard S. Bloom & Larry L. Orr & Stephen H. Bell & George Cave & Fred Doolittle & Winston Lin & Johannes M. Bos, 1997. "The Benefits and Costs of JTPA Title II-A Programs: Key Findings from the National Job Training Partnership Act Study," Journal of Human Resources, University of Wisconsin Press, vol. 32(3), pages 549-576.
    27. Frolich, Markus, 2008. "Statistical Treatment Choice: An Application to Active Labor Market Programs," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 547-558, June.
    28. Peter Z. Schochet & John Burghardt & Sheena McConnell, 2008. "Does Job Corps Work? Impact Findings from the National Job Corps Study," American Economic Review, American Economic Association, vol. 98(5), pages 1864-1886, December.
    29. Steven D. Levitt, 1996. "The Effect of Prison Population Size on Crime Rates: Evidence from Prison Overcrowding Litigation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 111(2), pages 319-351.
    30. Sheena McConnell & Steven Glazerman, 2001. "National Job Corps Study: The Benefits and Costs of Job Corps," Mathematica Policy Research Reports 19ff8678a108410587c5dfad0, Mathematica Policy Research.
    31. Peter Z. Schochet & John Burghardt & Sheena McConnell, "undated". "Does Job Corps Work? Impact Findings from the National Job Corps Study," Mathematica Policy Research Reports 5067e4907eba4a4881f510080, Mathematica Policy Research.
    32. repec:mpr:mprres:2955 is not listed on IDEAS
    33. Pieter Bastiaan Ober, 2013. "Introduction to linear regression analysis," Journal of Applied Statistics, Taylor & Francis Journals, vol. 40(12), pages 2775-2776, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Victor Chernozhukov & Mert Demirer & Esther Duflo & Ivan Fernandez-Val, 2017. "Generic machine learning inference on heterogenous treatment effects in randomized experiments," CeMMAP working papers 61/17, Institute for Fiscal Studies.
    2. Kayo Murakami & Hideki Shimada & Yoshiaki Ushifusa & Takanori Ida, 2022. "Heterogeneous Treatment Effects Of Nudge And Rebate: Causal Machine Learning In A Field Experiment On Electricity Conservation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(4), pages 1779-1803, November.
    3. Ozkan Eren & Michael F. Lovenheim & H. Naci Mocan, 2022. "The Effect of Grade Retention on Adult Crime: Evidence from a Test-Based Promotion Policy," Journal of Labor Economics, University of Chicago Press, vol. 40(2), pages 361-395.
    4. Mohamed Abdel Jelil & Kartika Bhatia & Anne Brockmeyer & Quy-Toan Do & CleÌ ment Joubert, 2018. "Unemployment and Violent Extremism: Evidence from Daesh Foreign Recruits," HiCN Working Papers 273, Households in Conflict Network.
    5. Aaron Chalfin & Benjamin Hansen & Rachel Ryley, 2019. "The Minimum Legal Drinking Age and Crime Victimization," NBER Working Papers 26051, National Bureau of Economic Research, Inc.
    6. Andreas Gulyas & Krzysztof Pytka, 2019. "Understanding the Sources of Earnings Losses After Job Displacement: A Machine-Learning Approach," CRC TR 224 Discussion Paper Series crctr224_2019_131, University of Bonn and University of Mannheim, Germany.
    7. Eoghan O'Neill & Melvyn Weeks, 2018. "Causal Tree Estimation of Heterogeneous Household Response to Time-Of-Use Electricity Pricing Schemes," Papers 1810.09179, arXiv.org, revised Oct 2019.
    8. Anna Aizer & Shari Eli & Adriana Lleras-Muney & Keyoung Lee, 2020. "Do Youth Employment Programs Work? Evidence from the New Deal," NBER Working Papers 27103, National Bureau of Economic Research, Inc.
    9. O'Neill, E. & Weeks, M., 2018. "Causal Tree Estimation of Heterogeneous Household Response to Time-Of-Use Electricity Pricing Schemes," Cambridge Working Papers in Economics 1865, Faculty of Economics, University of Cambridge.

    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. Jonathan M.V. Davis & Sara B. Heller, 2020. "Rethinking the Benefits of Youth Employment Programs: The Heterogeneous Effects of Summer Jobs," The Review of Economics and Statistics, MIT Press, vol. 102(4), pages 664-677, October.
    2. Sara Heller & Harold A. Pollack & Roseanna Ander & Jens Ludwig, 2013. "Preventing Youth Violence and Dropout: A Randomized Field Experiment," NBER Working Papers 19014, National Bureau of Economic Research, Inc.
    3. Alexander Gelber & Adam Isen & Judd B. Kessler, 2014. "The Effects of Youth Employment: Evidence from New York City Summer Youth Employment Program Lotteries," NBER Working Papers 20810, National Bureau of Economic Research, Inc.
    4. Gaurav Khanna & Carlos Medina & Anant Nyshadham & Jorge Tamayo & Nicolas Torres, 2023. "Formal Employment and Organised Crime: Regression Discontinuity Evidence from Colombia," The Economic Journal, Royal Economic Society, vol. 133(654), pages 2427-2448.
    5. Ibarrarán, Pablo & Kluve, Jochen & Ripani, Laura & Rosas Shady, David, 2015. "Experimental Evidence on the Long-Term Impacts of a Youth Training Program," IZA Discussion Papers 9136, Institute of Labor Economics (IZA).
    6. Sara B. Heller & Anuj K. Shah & Jonathan Guryan & Jens Ludwig & Sendhil Mullainathan & Harold A. Pollack, 2017. "Thinking, Fast and Slow? Some Field Experiments to Reduce Crime and Dropout in Chicago," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(1), pages 1-54.
    7. Nikhil Jha & Cain Polidano, 2016. "Vocational Education and Training: A Pathway to the Straight and Narrow," Melbourne Institute Working Paper Series wp2016n21, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    8. Aaron Chalfin & Benjamin Hansen & Jason Lerner & Lucie Parker, 2019. "Reducing Crime Through Environmental Design: Evidence from a Randomized Experiment of Street Lighting in New York City," NBER Working Papers 25798, National Bureau of Economic Research, Inc.
    9. Anna Aizer & Shari Eli & Adriana Lleras-Muney & Keyoung Lee, 2020. "Do Youth Employment Programs Work? Evidence from the New Deal," NBER Working Papers 27103, National Bureau of Economic Research, Inc.
    10. 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.
    11. 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.
    12. Lehner, Lukas & Kasy, Maximilian, 2022. "Employing the unemployed of Marienthal: Evaluation of a guaranteed job program," INET Oxford Working Papers 2022-29, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    13. D'Este, Rocco, 2014. "The Effect of Stolen Goods Markets on Crime: Evidence from a Quasi Natural Experiment," Economic Research Papers 270415, University of Warwick - Department of Economics.
    14. O’Flaherty, Brendan & Sethi, Rajiv, 2015. "Urban Crime," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 1519-1621, Elsevier.
    15. Brian Jacob & Max Kapustin & Jens Ludwig, 2014. "Human Capital Effects of Anti-Poverty Programs: Evidence from a Randomized Housing Voucher Lottery," NBER Working Papers 20164, National Bureau of Economic Research, Inc.
    16. Kluve, Jochen., 2016. "A review of the effectiveness of active labour market programmes with a focus on Latin America and the Caribbean," ILO Working Papers 994901193402676, International Labour Organization.
    17. Bolhaar, Jonneke & Ketel, Nadine & van der Klaauw, Bas, 2020. "Caseworker's discretion and the effectiveness of welfare-to-work programs," Journal of Public Economics, Elsevier, vol. 183(C).
    18. Roberto Galbiati & Aurélie Ouss & Arnaud Philippe, 2021. "Jobs, News and Reoffending after Incarceration [Examining the generality of the unemployment–crime association]," The Economic Journal, Royal Economic Society, vol. 131(633), pages 247-270.
    19. Fallesen, Peter & Geerdsen, Lars Pico & Imai, Susumu & Tranæs, Torben, 2018. "The effect of active labor market policies on crime: Incapacitation and program effects," Labour Economics, Elsevier, vol. 52(C), pages 263-286.
    20. Janet Currie & Michael Mueller-Smith & Maya Rossin-Slater, 2022. "Violence While in Utero: The Impact of Assaults during Pregnancy on Birth Outcomes," The Review of Economics and Statistics, MIT Press, vol. 104(3), pages 525-540, May.

    More about this item

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J48 - Labor and Demographic Economics - - Particular Labor Markets - - - Particular Labor Markets; Public Policy
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:nbr:nberwo:23443. 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/nberrus.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.