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Application Costs and Congestion in Matching Markets

Author

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  • YingHua He
  • Thierry Magnac

Abstract

A matching market often requires recruiting agents, or ‘programmes’, to costly screen ‘applicants’, and congestion increases with the number of applicants to be screened. We investigate the role of application costs: higher costs reduce congestion by discouraging applicants from applying to certain programmes; however, they may harm match quality. In a multiple-elicitation experiment conducted in a real-life matching market, we implement variants of the Gale-Shapley deferred-acceptance mechanism with different application costs. Our experimental and structural estimates show that a (low) application cost effectively reduces congestion without harming match quality.

Suggested Citation

  • YingHua He & Thierry Magnac, 2022. "Application Costs and Congestion in Matching Markets," The Economic Journal, Royal Economic Society, vol. 132(648), pages 2918-2950.
  • Handle: RePEc:oup:econjl:v:132:y:2022:i:648:p:2918-2950.
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    1. Avery, Robert B & Hansen, Lars Peter & Hotz, V Joseph, 1983. "Multiperiod Probit Models and Orthogonality Condition Estimation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 24(1), pages 21-35, February.
    2. Martin L. Weitzman, 1974. "Prices vs. Quantities," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 41(4), pages 477-491.
    3. Hector Chade & Gregory Lewis & Lones Smith, 2014. "Student Portfolios and the College Admissions Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(3), pages 971-1002.
    4. Parag A. Pathak, 2011. "The Mechanism Design Approach to Student Assignment," Annual Review of Economics, Annual Reviews, vol. 3(1), pages 513-536, September.
    5. Hanna Halaburda & Mikolaj Jan Piskorski, 2010. "Competing by Restricting Choice: The Case of Search Platforms," Harvard Business School Working Papers 10-098, Harvard Business School, revised Jan 2013.
    6. Hafalir, Isa E. & Hakimov, Rustamdjan & Kübler, Dorothea & Kurino, Morimitsu, 2018. "College admissions with entrance exams: Centralized versus decentralized," Journal of Economic Theory, Elsevier, vol. 176(C), pages 886-934.
    7. Caterina Calsamiglia & Guillaume Haeringer & Flip Klijn, 2010. "Constrained School Choice: An Experimental Study," American Economic Review, American Economic Association, vol. 100(4), pages 1860-1874, September.
    8. Baumol, William J, 1972. "On Taxation and the Control of Externalities," American Economic Review, American Economic Association, vol. 62(3), pages 307-322, June.
    9. Gabrielle Fack & Julien Grenet & Yinghua He, 2019. "Beyond Truth-Telling: Preference Estimation with Centralized School Choice and College Admissions," American Economic Review, American Economic Association, vol. 109(4), pages 1486-1529, April.
    10. Caterina Calsamiglia & Chao Fu & Maia Güell, 2014. "Structural Estimation of a Model of School Choices: the Boston Mechanism vs. Its Alternatives," Working Papers 811, Barcelona School of Economics.
    11. Roth, Alvin E & Xing, Xiaolin, 1997. "Turnaround Time and Bottlenecks in Market Clearing: Decentralized Matching in the Market for Clinical Psychologists," Journal of Political Economy, University of Chicago Press, vol. 105(2), pages 284-329, April.
    12. Peter Coles & Alexey Kushnir & Muriel Niederle, 2013. "Preference Signaling in Matching Markets," American Economic Journal: Microeconomics, American Economic Association, vol. 5(2), pages 99-134, May.
    13. Parag A. Pathak & Tayfun Sönmez, 2013. "School Admissions Reform in Chicago and England: Comparing Mechanisms by Their Vulnerability to Manipulation," American Economic Review, American Economic Association, vol. 103(1), pages 80-106, February.
    14. Pathak, Parag A. & Shi, Peng, 2021. "How well do structural demand models work? Counterfactual predictions in school choice," Journal of Econometrics, Elsevier, vol. 222(1), pages 161-195.
    15. José Raimundo Carvalho & Thierry Magnac & Qizhou Xiong, 2019. "College choice, selection, and allocation mechanisms: A structural empirical analysis," Quantitative Economics, Econometric Society, vol. 10(3), pages 1233-1277, July.
    16. Nikhil Agarwal, 2015. "An Empirical Model of the Medical Match," American Economic Review, American Economic Association, vol. 105(7), pages 1939-1978, July.
    17. Amanda Pallais, 2015. "Small Differences That Matter: Mistakes in Applying to College," Journal of Labor Economics, University of Chicago Press, vol. 33(2), pages 493-520.
    18. He, Yinghua, 2012. "Gaming the Boston School Choice Mechanism in Beijing," TSE Working Papers 12-345, Toulouse School of Economics (TSE).
    19. Fuhito Kojima & Parag A. Pathak, 2009. "Incentives and Stability in Large Two-Sided Matching Markets," American Economic Review, American Economic Association, vol. 99(3), pages 608-627, June.
    20. Christopher R. Knittel & Ryan Sandler, 2013. "The Welfare Impact of Indirect Pigouvian Taxation: Evidence from Transportation," NBER Working Papers 18849, National Bureau of Economic Research, Inc.
    21. Roth, Alvin E, 1991. "A Natural Experiment in the Organization of Entry-Level Labor Markets: Regional Markets for New Physicians and Surgeons in the United Kingdom," American Economic Review, American Economic Association, vol. 81(3), pages 415-440, June.
    22. repec:hal:cesptp:halshs-01215998 is not listed on IDEAS
    23. Kanoria, Yash & Saban, Daniela, 2017. "Facilitating the Search for Partners on Matching Platforms: Restricting Agents' Actions," Research Papers 3572, Stanford University, Graduate School of Business.
    24. Paul R. Milgrom & Robert J. Weber, 1985. "Distributional Strategies for Games with Incomplete Information," Mathematics of Operations Research, INFORMS, vol. 10(4), pages 619-632, November.
    25. Yeon-Koo Che & Youngwoo Koh, 2016. "Decentralized College Admissions," Journal of Political Economy, University of Chicago Press, vol. 124(5), pages 1295-1338.
    26. Robin S. Lee & Michael Schwarz, 2017. "Interviewing in two-sided matching markets," RAND Journal of Economics, RAND Corporation, vol. 48(3), pages 835-855, August.
    27. Eduardo M. Azevedo & Jacob D. Leshno, 2016. "A Supply and Demand Framework for Two-Sided Matching Markets," Journal of Political Economy, University of Chicago Press, vol. 124(5), pages 1235-1268.
    28. Beggs, S. & Cardell, S. & Hausman, J., 1981. "Assessing the potential demand for electric cars," Journal of Econometrics, Elsevier, vol. 17(1), pages 1-19, September.
    29. Richard Blundell, 2017. "What Have We Learned from Structural Models?," American Economic Review, American Economic Association, vol. 107(5), pages 287-292, May.
    30. Atila Abdulkadiroğlu & Nikhil Agarwal & Parag A. Pathak, 2017. "The Welfare Effects of Coordinated Assignment: Evidence from the New York City High School Match," American Economic Review, American Economic Association, vol. 107(12), pages 3635-3689, December.
    31. Alvin E. Roth, 1982. "The Economics of Matching: Stability and Incentives," Mathematics of Operations Research, INFORMS, vol. 7(4), pages 617-628, November.
    32. Nicholas Z. Muller & Robert Mendelsohn, 2009. "Efficient Pollution Regulation: Getting the Prices Right," American Economic Review, American Economic Association, vol. 99(5), pages 1714-1739, December.
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    Citations

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    Cited by:

    1. Aue, Robert & Klein, Thilo & Ortega, Josué, 2020. "What happens when separate and unequal school districts merge?," ZEW Discussion Papers 20-032, ZEW - Leibniz Centre for European Economic Research.
    2. Emil Chrisander & Andreas Bjerre-Nielsen, 2023. "Why Do Students Lie and Should We Worry? An Analysis of Non-truthful Reporting," Papers 2302.13718, arXiv.org, revised Mar 2023.
    3. Thierry Magnac, 2018. "Quels étudiants pour quelles universités ? Analyses empiriques de mécanismes d’allocation centralisée," Revue économique, Presses de Sciences-Po, vol. 69(5), pages 683-708.
    4. Hayri A. Arslan, 2021. "Preference estimation in centralized college admissions from reported lists," Empirical Economics, Springer, vol. 61(5), pages 2865-2911, November.
    5. YingHua He & Shruti Sinha & Xiaoting Sun, 2021. "Identification and Estimation in Many-to-one Two-sided Matching without Transfers," Papers 2104.02009, arXiv.org, revised Jul 2023.
    6. Tobias Lehmann & Camille Terrier & Rafael Lalive, 2023. "Costs and Benefits of Congestion in Two-Sided Markets: Evidence from the Dating Market," Working Papers 964, Queen Mary University of London, School of Economics and Finance.
    7. Andreas Bjerre-Nielsen & Emil Chrisander, 2022. "Voluntary Information Disclosure in Centralized Matching: Efficiency Gains and Strategic Properties," Papers 2206.15096, arXiv.org.
    8. Mylius, F., 2023. "Why Personal Ties (Still) Matter: Referrals and Congestion," Cambridge Working Papers in Economics 2356, Faculty of Economics, University of Cambridge.

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    More about this item

    JEL classification:

    • C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory
    • D47 - Microeconomics - - Market Structure, Pricing, and Design - - - Market Design
    • D50 - Microeconomics - - General Equilibrium and Disequilibrium - - - General
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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