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Behavioral responses and welfare reform: Evidence from a randomized experiment

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  • Hartley, Robert Paul
  • Lamarche, Carlos
Abstract
Recent studies have used a distributional analysis of welfare reform experiments suggesting that some individuals reduce hours in order to opt into welfare, an example of behavioral-induced participation. Using data on Connecticut’s Jobs First experiment, we find no evidence of behavioral-induced participation at the highest conditional quantiles of earnings. We offer a simple explanation for this: women assigned to Jobs First incur welfare participation costs to labor supply at higher earnings where the control group is welfare ineligible. Moreover, as expected, behavioral components and costs of program participation do not seem to play a differential role at other conditional quantiles where both groups are eligible to participate. Our findings show that a welfare program imposes an estimated cost up to 10 percent of quarterly earnings, and these costs can be heterogeneous throughout the conditional earnings distribution. The evidence is obtained by employing a semi-parametric panel quantile estimator for a model that allows women to vary arbitrarily in costs of participating in welfare programs.

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  • Hartley, Robert Paul & Lamarche, Carlos, 2018. "Behavioral responses and welfare reform: Evidence from a randomized experiment," Labour Economics, Elsevier, vol. 54(C), pages 135-151.
    • Handle: RePEc:eee:labeco:v:54:y:2018:i:c:p:135-151
    DOI: 10.1016/j.labeco.2018.08.002
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    1. Bruce D. Meyer & Dan T. Rosenbaum, 2001. "Welfare, the Earned Income Tax Credit, and the Labor Supply of Single Mothers," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(3), pages 1063-1114.
    2. Marianne P. Bitler & Jonah B. Gelbach & Hilary W. Hoynes, 2006. "What Mean Impacts Miss: Distributional Effects of Welfare Reform Experiments," American Economic Review, American Economic Association, vol. 96(4), pages 988-1012, September.
    3. Sergio Firpo, 2007. "Efficient Semiparametric Estimation of Quantile Treatment Effects," Econometrica, Econometric Society, vol. 75(1), pages 259-276, January.
    4. Magne Mogstad & Chiara Pronzato, 2012. "Are Lone Mothers Responsive to Policy Changes? Evidence from a Workfare Reform in a Generous Welfare State," Scandinavian Journal of Economics, Wiley Blackwell, vol. 114(4), pages 1129-1159, December.
    5. Cattaneo, Matias D., 2010. "Efficient semiparametric estimation of multi-valued treatment effects under ignorability," Journal of Econometrics, Elsevier, vol. 155(2), pages 138-154, April.
    6. Ashenfelter, Orley C, 1978. "Estimating the Effect of Training Programs on Earnings," The Review of Economics and Statistics, MIT Press, vol. 60(1), pages 47-57, February.
    7. James J. Heckman & Jeffrey Smith & Nancy Clements, 1997. "Making The Most Out Of Programme Evaluations and Social Experiments: Accounting For Heterogeneity in Programme Impacts," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 487-535.
    8. Koenker, Roger, 2004. "Quantile regression for longitudinal data," Journal of Multivariate Analysis, Elsevier, vol. 91(1), pages 74-89, October.
    9. Herwig Immervoll & Henrik Jacobsen Kleven & Claus Thustrup Kreiner & Emmanuel Saez, 2007. "Welfare reform in European countries: a microsimulation analysis," Economic Journal, Royal Economic Society, vol. 117(516), pages 1-44, January.
    10. Moffitt, Robert, 1983. "An Economic Model of Welfare Stigma," American Economic Review, American Economic Association, vol. 73(5), pages 1023-1035, December.
    11. Jeffrey Grogger & Charles Michalopoulos, 2003. "Welfare Dynamics under Time Limits," Journal of Political Economy, University of Chicago Press, vol. 111(3), pages 530-554, June.
    12. Robert A. Moffitt, 2003. "The Temporary Assistance for Needy Families Program," NBER Chapters, in: Means-Tested Transfer Programs in the United States, pages 291-364, National Bureau of Economic Research, Inc.
    13. Peter Gottschalk, 2005. "Can work alter welfare recipients' beliefs?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 24(3), pages 485-498.
    14. Matias D. Cattaneo, 2010. "multi-valued treatment effects," The New Palgrave Dictionary of Economics,, Palgrave Macmillan.
    15. Harding, Matthew & Lamarche, Carlos, 2014. "Estimating and testing a quantile regression model with interactive effects," Journal of Econometrics, Elsevier, vol. 178(P1), pages 101-113.
    16. Brewer, Mike & Duncan, Alan & Shephard, Andrew & Suarez, Maria Jose, 2006. "Did working families' tax credit work? The impact of in-work support on labour supply in Great Britain," Labour Economics, Elsevier, vol. 13(6), pages 699-720, December.
    17. Emmanuel Saez, 2010. "Do Taxpayers Bunch at Kink Points?," American Economic Journal: Economic Policy, American Economic Association, vol. 2(3), pages 180-212, August.
    18. Robert A. Moffitt, 2003. "Means-Tested Transfer Programs in the United States," NBER Books, National Bureau of Economic Research, Inc, number moff03-1.
    19. Costas Meghir & Luigi Pistaferri, 2004. "Income Variance Dynamics and Heterogeneity," Econometrica, Econometric Society, vol. 72(1), pages 1-32, January.
    20. Bergolo, M. & Cruces, G., 2021. "The anatomy of behavioral responses to social assistance when informal employment is high," Journal of Public Economics, Elsevier, vol. 193(C).
    21. Powell, James L., 1986. "Censored regression quantiles," Journal of Econometrics, Elsevier, vol. 32(1), pages 143-155, June.
    22. Beffy, Magali & Blundell, Richard & Bozio, Antoine & Laroque, Guy & Tô, Maxime, 2019. "Labour supply and taxation with restricted choices," Journal of Econometrics, Elsevier, vol. 211(1), pages 16-46.
    23. A. Belloni & V. Chernozhukov & I. Fernández‐Val & C. Hansen, 2017. "Program Evaluation and Causal Inference With High‐Dimensional Data," Econometrica, Econometric Society, vol. 85, pages 233-298, January.
    24. 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.
    25. Blundell, Richard & MaCurdy, Thomas & Meghir, Costas, 2007. "Labor Supply Models: Unobserved Heterogeneity, Nonparticipation and Dynamics," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 69, Elsevier.
    26. Matthew Harding & Carlos Lamarche, 2017. "Penalized Quantile Regression with Semiparametric Correlated Effects: An Application with Heterogeneous Preferences," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(2), pages 342-358, March.
    27. Bargain, Olivier & Orsini, Kristian, 2006. "In-work policies in Europe: Killing two birds with one stone?," Labour Economics, Elsevier, vol. 13(6), pages 667-697, December.
    28. Słoczyński, Tymon & Wooldridge, Jeffrey M., 2018. "A General Double Robustness Result For Estimating Average Treatment Effects," Econometric Theory, Cambridge University Press, vol. 34(1), pages 112-133, February.
    29. Lamarche, Carlos, 2010. "Robust penalized quantile regression estimation for panel data," Journal of Econometrics, Elsevier, vol. 157(2), pages 396-408, August.
    30. Bingley, Paul & Walker, Ian, 1997. "The Labour Supply, Unemployment and Participation of Lone Mothers in In-Work Transfer Programmes," Economic Journal, Royal Economic Society, vol. 107(444), pages 1375-1390, September.
    31. Patrick Kline & Melissa Tartari, 2016. "Bounding the Labor Supply Responses to a Randomized Welfare Experiment: A Revealed Preference Approach," American Economic Review, American Economic Association, vol. 106(4), pages 972-1014, April.
    32. Jeffrey Grogger, 2003. "The Effects of Time Limits, the EITC, and Other Policy Changes on Welfare Use, Work, and Income among Female-Headed Families," The Review of Economics and Statistics, MIT Press, vol. 85(2), pages 394-408, May.
    33. Libertad González, 2008. "Single Mothers, Welfare, and Incentives to Work," LABOUR, CEIS, vol. 22(3), pages 447-468, September.
    34. Paul Bingley & Ian Walker, 2013. "The labour supply effects of a partial cash-out of in-kind transfers to single mothers," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 2(1), pages 1-27, December.
    35. Rebecca M. Blank & Patricia Ruggles, 1996. "When Do Women Use Aid to Families with Dependent Children and Food Stamps? The Dynamics of Eligibility Versus Participation," Journal of Human Resources, University of Wisconsin Press, vol. 31(1), pages 57-89.
    36. Marc K. Chan, 2018. "Measuring the Effects of Welfare Time Limits," Journal of Human Resources, University of Wisconsin Press, vol. 53(1), pages 232-271.
    37. Donald B. Rubin, 1977. "Assignment to Treatment Group on the Basis of a Covariate," Journal of Educational and Behavioral Statistics, , vol. 2(1), pages 1-26, March.
    38. Burtless, Gary & Hausman, Jerry A, 1978. "The Effect of Taxation on Labor Supply: Evaluating the Gary Negative Income Tax Experiments," Journal of Political Economy, University of Chicago Press, vol. 86(6), pages 1103-1130, December.
    39. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    40. Moffitt, Robert A., 2002. "Welfare programs and labor supply," Handbook of Public Economics, in: A. J. Auerbach & M. Feldstein (ed.), Handbook of Public Economics, edition 1, volume 4, chapter 34, pages 2393-2430, Elsevier.
    41. Abhijit V. Banerjee & Rema Hanna & Gabriel E. Kreindler & Benjamin A. Olken, 2017. "Debunking the Stereotype of the Lazy Welfare Recipient: Evidence from Cash Transfer Programs," The World Bank Research Observer, World Bank, vol. 32(2), pages 155-184.
    42. Hong H. & Chernozhukov V., 2002. "Three-Step Censored Quantile Regression and Extramarital Affairs," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 872-882, September.
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    Cited by:

    1. Friedrichsen, Jana & König, Tobias & Schmacker, Renke, 2018. "Social image concerns and welfare take-up," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 168, pages 174-192.
    2. Bergolo, M. & Cruces, G., 2021. "The anatomy of behavioral responses to social assistance when informal employment is high," Journal of Public Economics, Elsevier, vol. 193(C).

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    More about this item

    Keywords

    Welfare reform; Quantile regression; Panel data; Program participation;
    All these keywords.

    JEL classification:

    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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