IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/21391.html
   My bibliography  Save this paper

The Economics of Exclusion Restrictions in IV Models

Author

Listed:
  • Damon Jones

Abstract

We explore a key underlying assumption, the exclusion restriction, commonly used in interpreting IV estimates in the presence of heterogenous treatment effects as a local average treatment effect (LATE). We show through a series of simple examples that in some commonly featured cases that this assumption is likely to be violated among inframarginal agents, i.e. the always- and never-takers. This violation of the exclusion restriction will generally confound the LATE interpretation of the associated IV results. We discuss potential adjustments to IV estimates in the presence of this bias.

Suggested Citation

  • Damon Jones, 2015. "The Economics of Exclusion Restrictions in IV Models," NBER Working Papers 21391, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:21391
    Note: LS PE
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w21391.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. James Heckman, 1997. "Instrumental Variables: A Study of Implicit Behavioral Assumptions Used in Making Program Evaluations," Journal of Human Resources, University of Wisconsin Press, vol. 32(3), pages 441-462.
    2. Rothstein, Jesse & Rouse, Cecilia Elena, 2011. "Constrained after college: Student loans and early-career occupational choices," Journal of Public Economics, Elsevier, vol. 95(1-2), pages 149-163, February.
    3. Susan M. Dynarski, 2003. "Does Aid Matter? Measuring the Effect of Student Aid on College Attendance and Completion," American Economic Review, American Economic Association, vol. 93(1), pages 279-288, March.
    4. Seth D. Zimmerman, 2014. "The Returns to College Admission for Academically Marginal Students," Journal of Labor Economics, University of Chicago Press, vol. 32(4), pages 711-754.
    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. Andreas Steinmayr, 2016. "Exposure to Refugees and Voting for the Far-Right. (Unexpected) Results from Austria," WIFO Working Papers 514, WIFO.
    2. Menta, Giorgia & Lepinteur, Anthony, 2021. "Boys don’t cry (or do the dishes): Family size and the housework gender gap," Journal of Economic Behavior & Organization, Elsevier, vol. 186(C), pages 164-188.
    3. Benjamin G. Hyman, 2022. "Can Displaced Labor Be Retrained? Evidence from Quasi-Random Assignment to Trade Adjustment Assistance," Working Papers 22-05, Center for Economic Studies, U.S. Census Bureau.
    4. Trevon D. Logan, 2018. "Do Black Politicians Matter?," NBER Working Papers 24190, National Bureau of Economic Research, Inc.
    5. Huber Martin & Wüthrich Kaspar, 2019. "Local Average and Quantile Treatment Effects Under Endogeneity: A Review," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-27, January.
    6. Huber, Martin & Wüthrich, Kaspar, 2017. "Evaluating local average and quantile treatment effects under endogeneity based on instruments: a review," FSES Working Papers 479, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    7. Marin Drlje & Stepan Jurajda, 2021. "LATE Estimators under Costly Non-compliance in Student-College Matching Markets," CERGE-EI Working Papers wp686, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    8. James Berry & Greg Fischer & Raymond Guiteras, 2020. "Eliciting and Utilizing Willingness to Pay: Evidence from Field Trials in Northern Ghana," Journal of Political Economy, University of Chicago Press, vol. 128(4), pages 1436-1473.
    9. Rodney J. Andrews & John Thompson, 2017. "Earning your CAP: A Comprehensive Analysis of The University of Texas System's Coordinated Admissions Program," NBER Working Papers 23442, National Bureau of Economic Research, Inc.
    10. Sebastian Gallegos & Pablo Celhay, 2020. "Early Skill Effects on Types of Parental Investments and Long-Run Outcomes," Working Papers 2020-014, Human Capital and Economic Opportunity Working Group.
    11. Hans (J.L.W.) van Kippersluis & Niels (C.A.) Rietveld, 2017. "Beyond Plausibly Exogenous," Tinbergen Institute Discussion Papers 17-096/V, Tinbergen Institute.
    12. Contreras, Ivette, 2023. "Following your lead: Migration networks and immigrants' education decisions," World Development, Elsevier, vol. 170(C).
    13. D’Haultfœuille, Xavier & Hoderlein, Stefan & Sasaki, Yuya, 2024. "Testing and relaxing the exclusion restriction in the control function approach," Journal of Econometrics, Elsevier, vol. 240(2).
    14. Mallika Thomas, 2024. "Effects of Peer Groups on the Gender-Wage Gap and Life After the MBA: Evidence from the Random Assignment of MBA Peers," Upjohn Working Papers 24-402, W.E. Upjohn Institute for Employment Research.

    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. Montoya, Ana Maria & Noton, Carlos & Solis, Alex, 2018. "The Returns to College Choice: Loans, Scholarships and Labor Outcomes," Working Paper Series 2018:12, Uppsala University, Department of Economics.
    2. Bednar, Steven & Gicheva, Dora, 2013. "Tax benefits for graduate education: Incentives for whom?," Economics of Education Review, Elsevier, vol. 36(C), pages 181-197.
    3. Mark Colas & Sebastian Findeisen & Dominik Sachs, 2021. "Optimal Need-Based Financial Aid," Journal of Political Economy, University of Chicago Press, vol. 129(2), pages 492-533.
    4. Jeffrey T. Denning & Todd R. Jones, 2021. "Maxed Out?: The Effect of Larger Student Loan Limits on Borrowing and Education Outcomes," Journal of Human Resources, University of Wisconsin Press, vol. 56(4), pages 1113-1140.
    5. David Deming & Susan Dynarski, 2009. "Into College, Out of Poverty? Policies to Increase the Postsecondary Attainment of the Poor," NBER Working Papers 15387, National Bureau of Economic Research, Inc.
    6. Charles T. Clotfelter & Steven W. Hemelt & Helen F. Ladd, 2018. "Multifaceted Aid For Low‐Income Students And College Outcomes: Evidence From North Carolina," Economic Inquiry, Western Economic Association International, vol. 56(1), pages 278-303, January.
    7. Yang, Guanyi, 2018. "Endogenous Skills and Labor Income Inequality," MPRA Paper 89638, University Library of Munich, Germany.
    8. Azmat Ghazala & Simion Ştefania, 2021. "Charging for Higher Education: Estimating the Impact on Inequality and Student Outcomes," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 21(1), pages 175-239, January.
    9. David Card & Alex Solis, 2022. "Measuring the Effect of Student Loans on College Persistence," Education Finance and Policy, MIT Press, vol. 17(2), pages 335-366, Spring.
    10. Waddell, Glen R. & Singell Jr., Larry D., 2011. "Do no-loan policies change the matriculation patterns of low-income students?," Economics of Education Review, Elsevier, vol. 30(2), pages 203-214, April.
    11. Helena Skyt Nielsen & Torben Sørensen & Christopher Taber, 2010. "Estimating the Effect of Student Aid on College Enrollment: Evidence from a Government Grant Policy Reform," NBER Chapters, in: Income Taxation, Trans-Atlantic Public Economics Seminar (TAPES), pages 185-215, National Bureau of Economic Research, Inc.
    12. Turner, Nicholas, 2011. "The Effect of Tax-Based Federal Student Aid on College Enrollment," National Tax Journal, National Tax Association;National Tax Journal, vol. 64(3), pages 839-861, September.
    13. Gicheva, Dora, 2011. "Does the Student-Loan Burden Weigh into the Decision to Start a Family?," UNCG Economics Working Papers 11-14, University of North Carolina at Greensboro, Department of Economics.
    14. Jeffrey T. Denning & Benjamin M. Marx & Lesley J. Turner, 2019. "ProPelled: The Effects of Grants on Graduation, Earnings, and Welfare," American Economic Journal: Applied Economics, American Economic Association, vol. 11(3), pages 193-224, July.
    15. Bradley, Steve & Migali, Giuseppe, 2019. "The effects of the 2006 tuition fee reform and the Great Recession on university student dropout behaviour in the UK," Journal of Economic Behavior & Organization, Elsevier, vol. 164(C), pages 331-356.
    16. Elena Mattana & Juanna Joensen, 2014. "Student Aid, Academic Achievement, and Labor Market Behavior: Grants or Loans?," 2014 Meeting Papers 707, Society for Economic Dynamics.
    17. French, Robert & Oreopoulos, Philip, 2017. "Behavioral barriers transitioning to college," Labour Economics, Elsevier, vol. 47(C), pages 48-63.
    18. Aguirre, Josefa, 2021. "Long-term effects of grants and loans for vocational education," Journal of Public Economics, Elsevier, vol. 204(C).
    19. Hastings, Justine S. & Neilson, Christopher A. & Ramirez, Anely & Zimmerman, Seth D., 2016. "(Un)informed college and major choice: Evidence from linked survey and administrative data," Economics of Education Review, Elsevier, vol. 51(C), pages 136-151.
    20. Chu, Yu-Wei Luke & Cuffe, Harold E, 2020. "Do Struggling Students Benefit From Continued Student Loan Access? Evidence From University and Beyond," Working Paper Series 21067, Victoria University of Wellington, School of Economics and Finance.

    More about this item

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation

    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:21391. 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.