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The generalized Roy model and the cost-benefit analysis of social programs

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  • Eisenhauer, Philipp
  • Heckman, James J.
  • Vytlacil, Edward

Abstract

The literature on treatment effects focuses on gross benefits from program participation. We extend this literature by developing conditions under which it is possible to identify parameters measuring the cost and net surplus from program participation. Using the generalized Roy model, we nonparametrically identify the cost, benefit, and net surplus of selection into treatment without requiring the analyst to have direct information on the cost. We apply our methodology to estimate the gross benefit and net surplus of attending college.

Suggested Citation

  • Eisenhauer, Philipp & Heckman, James J. & Vytlacil, Edward, 2014. "The generalized Roy model and the cost-benefit analysis of social programs," ZEW Discussion Papers 14-082, ZEW - Leibniz Centre for European Economic Research.
  • Handle: RePEc:zbw:zewdip:14082
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    References listed on IDEAS

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    Cited by:

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    3. Peter Arcidiacono & V. Joseph Hotz & Arnaud Maurel & Teresa Romano, 2014. "Recovering Ex Ante Returns and Preferences for Occupations using Subjective Expectations Data," NBER Working Papers 20626, National Bureau of Economic Research, Inc.
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    5. Cornelissen, Thomas & Dustmann, Christian & Raute, Anna & Schönberg, Uta, 2016. "From LATE to MTE: Alternative methods for the evaluation of policy interventions," Labour Economics, Elsevier, vol. 41(C), pages 47-60.
    6. James J. Heckman & John Eric Humphries & Gregory Veramendi, 2018. "Returns to Education: The Causal Effects of Education on Earnings, Health, and Smoking," Journal of Political Economy, University of Chicago Press, vol. 126(S1), pages 197-246.
    7. Goto, Tsuyoshi, 2022. "Do municipal mergers reduce public expenditure? Evidence from the MTE approach," MPRA Paper 114376, University Library of Munich, Germany.
    8. Tymon Sloczynski, 2021. "When Should We (Not) Interpret Linear IV Estimands as LATE?," CESifo Working Paper Series 9064, CESifo.
    9. Koichiro Ito & Takanori Ida & Makoto Tanaka, 2021. "Selection on Welfare Gains: Experimental Evidence from Electricity Plan Choice," NBER Working Papers 28413, National Bureau of Economic Research, Inc.
    10. Federica Braccioli & Paolo Ghinetti & Simone Moriconi & Michele Pellizzari & Costanza Naguib, 2022. "Education expansion, college choice and labour market success," Diskussionsschriften dp2207, Universitaet Bern, Departement Volkswirtschaft.
    11. Antill, Samuel, 2022. "Do the right firms survive bankruptcy?," Journal of Financial Economics, Elsevier, vol. 144(2), pages 523-546.
    12. Heckman, James J. & Humphries, John Eric & Veramendi, Gregory, 2016. "Dynamic treatment effects," Journal of Econometrics, Elsevier, vol. 191(2), pages 276-292.
    13. Heckman, James J. & Humphries, John Eric & Veramendi, Gregory & Urzua, Sergio, 2014. "Education, Health and Wages," IZA Discussion Papers 8027, Institute of Labor Economics (IZA).
    14. Tsunao Okumura & Emiko Usui, 2014. "Concave‐monotone treatment response and monotone treatment selection: With an application to the returns to schooling," Quantitative Economics, Econometric Society, vol. 5, pages 175-194, March.
    15. Valjarević, Dragana & Merkle, Ana, 2021. "Statistical causality and measurable separability of σ-algebras," Statistics & Probability Letters, Elsevier, vol. 177(C).
    16. Wang, Wenjie & Ida, Takanori & Shimada, Hideki, 2020. "Default effect versus active decision: Evidence from a field experiment in Los Alamos," European Economic Review, Elsevier, vol. 128(C).
    17. Hang Keun Ryu & Daniel J. Slottje, 2020. "Does Political Dominance Impact Economic Inequality?," International Association of Decision Sciences, Asia University, Taiwan, vol. 24(1), pages 121-149, March.
    18. Lin, Zhongjian & Vella, Francis, 2021. "Selection and Endogenous Treatment Models with Social Interactions: An Application to the Impact of Exercise on Self-Esteem," IZA Discussion Papers 14167, Institute of Labor Economics (IZA).
    19. Shimeles Abebe & Andinet Woldemichael, 2015. "Working Paper 225 - Measuring the Impact of Micro-Health Insurance on Healthcare Utilization: A Bayesian Potential Outcomes Approach," Working Paper Series 2166, African Development Bank.
    20. Qingen Gai & Naijia Guo & Bingjing Li & Qinghua Shi & Xiaodong Zhu, 2021. "Migration Costs, Sorting, and the Agricultural Productivity Gap," Working Papers tecipa-693, University of Toronto, Department of Economics.
    21. Hang Keun Ryu & Daniel J. Slottje, 2020. "Does Political Dominance Impact Economic Inequality?," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(1), pages 121-149, March.
    22. Chuan, A. & Zhang, W., 2021. "Non-College Occupations, Workplace Routinization, and the Gender Gap in College Enrollment," Cambridge Working Papers in Economics 2177, Faculty of Economics, University of Cambridge.
    23. B. S. Potanin, 2019. "Estimating the Effect of Higher Education on an Employee’s Wage," Studies on Russian Economic Development, Springer, vol. 30(3), pages 319-326, May.

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    More about this item

    Keywords

    Cost-Benefit Analysis; Treatment Effects; Returns and Costs to Education;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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