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Sorting on the Used-Car Market After the Volkswagen Emission Scandal

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  • Anthony Strittmatter
  • Michael Lechner

Abstract

The disclosure of the VW emission manipulation scandal caused a quasi-experimental market shock to the observable environmental quality of VW diesel vehicles. To investigate the market reaction to this shock, we collect data from a used-car online advertisement platform. We find that the supply of used VW diesel vehicles increases after the VW emission scandal. The positive supply side effects increase with the probability of manipulation. Furthermore, we find negative impacts on the asking prices of used cars subject to a high probability of manipulation. We rationalize these findings with a model for sorting by the environmental quality of used cars.

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  • Anthony Strittmatter & Michael Lechner, 2019. "Sorting on the Used-Car Market After the Volkswagen Emission Scandal," Papers 1908.09609, arXiv.org.
    • Handle: RePEc:arx:papers:1908.09609
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    1. Johnson, Justin P & Waldman, Michael, 2003. "Leasing, Lemons, and Buybacks," RAND Journal of Economics, The RAND Corporation, vol. 34(2), pages 247-265, Summer.
    2. Bond, Eric W, 1982. "A Direct Test of the "Lemons" Model: The Market for Used Pickup Trucks," American Economic Review, American Economic Association, vol. 72(4), pages 836-840, September.
    3. Michael Lechner & Ruth Miquel & Conny Wunsch, 2011. "Long‐Run Effects Of Public Sector Sponsored Training In West Germany," Journal of the European Economic Association, European Economic Association, vol. 9(4), pages 742-784, August.
    4. Palmrose, Zoe-Vonna & Richardson, Vernon J. & Scholz, Susan, 2004. "Determinants of market reactions to restatement announcements," Journal of Accounting and Economics, Elsevier, vol. 37(1), pages 59-89, February.
    5. Hugo Bodory & Lorenzo Camponovo & Martin Huber & Michael Lechner, 2020. "The Finite Sample Performance of Inference Methods for Propensity Score Matching and Weighting Estimators," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(1), pages 183-200, January.
    6. Igal Hendel & Alessandro Lizzeri, 2002. "The Role of Leasing under Adverse Selection," Journal of Political Economy, University of Chicago Press, vol. 110(1), pages 113-143, February.
    7. Stiglitz, Joseph E, 1987. "The Causes and Consequences of the Dependence of Quality on Price," Journal of Economic Literature, American Economic Association, vol. 25(1), pages 1-48, March.
    8. Meghan R. Busse & Christopher R. Knittel & Florian Zettelmeyer, 2013. "Are Consumers Myopic? Evidence from New and Used Car Purchases," American Economic Review, American Economic Association, vol. 103(1), pages 220-256, February.
    9. Alexander, Cindy R, 1999. "On the Nature of the Reputational Penalty for Corporate Crime: Evidence," Journal of Law and Economics, University of Chicago Press, vol. 42(1), pages 489-526, April.
    10. Jonathan R. Peterson & Henry S. Schneider, 2014. "Adverse selection in the used-car market: evidence from purchase and repair patterns in the Consumer Expenditure Survey," RAND Journal of Economics, RAND Corporation, vol. 45(1), pages 140-154, March.
    11. Nicola Lacetera & Devin G. Pope & Justin R. Sydnor, 2012. "Heuristic Thinking and Limited Attention in the Car Market," American Economic Review, American Economic Association, vol. 102(5), pages 2206-2236, August.
    12. Banzhaf, H. Spencer & Kasim, M. Taha, 2019. "Fuel consumption and gasoline prices: The role of assortative matching between households and automobiles," Journal of Environmental Economics and Management, Elsevier, vol. 95(C), pages 1-25.
    13. Gregory Lewis, 2011. "Asymmetric Information, Adverse Selection and Online Disclosure: The Case of eBay Motors," American Economic Review, American Economic Association, vol. 101(4), pages 1535-1546, June.
    14. Michael Lechner & Anthony Strittmatter, 2019. "Practical procedures to deal with common support problems in matching estimation," Econometric Reviews, Taylor & Francis Journals, vol. 38(2), pages 193-207, February.
    15. Gande, Amar & Lewis, Craig M., 2009. "Shareholder-Initiated Class Action Lawsuits: Shareholder Wealth Effects and Industry Spillovers," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(4), pages 823-850, August.
    16. Xavier D’Haultfœuille & Isis Durrmeyer & Philippe Février, 2019. "Automobile Prices in Market Equilibrium with Unobserved Price Discrimination," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(5), pages 1973-1998.
    17. Alberto Abadie & Guido W. Imbens, 2011. "Bias-Corrected Matching Estimators for Average Treatment Effects," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(1), pages 1-11, January.
    18. Siano, Alfonso & Vollero, Agostino & Conte, Francesca & Amabile, Sara, 2017. "“More than words”: Expanding the taxonomy of greenwashing after the Volkswagen scandal," Journal of Business Research, Elsevier, vol. 71(C), pages 27-37.
    19. Alberto Abadie & Guido W. Imbens, 2008. "On the Failure of the Bootstrap for Matching Estimators," Econometrica, Econometric Society, vol. 76(6), pages 1537-1557, November.
    20. Engers, Maxim & Hartmann, Monica & Stern, Steven, 2009. "Are lemons really hot potatoes?," International Journal of Industrial Organization, Elsevier, vol. 27(2), pages 250-263, March.
    21. Jose A. Guajardo & Morris A. Cohen & Serguei Netessine, 2016. "Service Competition and Product Quality in the U.S. Automobile Industry," Management Science, INFORMS, vol. 62(7), pages 1860-1877, July.
    22. Alessandro Lizzeri & Igal Hendel, 1999. "Adverse Selection in Durable Goods Markets," American Economic Review, American Economic Association, vol. 89(5), pages 1097-1115, December.
    23. Johnson, William C. & Xie, Wenjuan & Yi, Sangho, 2014. "Corporate fraud and the value of reputations in the product market," Journal of Corporate Finance, Elsevier, vol. 25(C), pages 16-39.
    24. Kahn, Matthew E., 2007. "Do greens drive Hummers or hybrids? Environmental ideology as a determinant of consumer choice," Journal of Environmental Economics and Management, Elsevier, vol. 54(2), pages 129-145, September.
    25. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    26. Sallee, James M. & West, Sarah E. & Fan, Wei, 2016. "Do consumers recognize the value of fuel economy? Evidence from used car prices and gasoline price fluctuations," Journal of Public Economics, Elsevier, vol. 135(C), pages 61-73.
    27. Ginger Zhe Jin & Andrew Kato, 2006. "Price, quality, and reputation: evidence from an online field experiment," RAND Journal of Economics, RAND Corporation, vol. 37(4), pages 983-1005, December.
    28. Steven Tadelis & Florian Zettelmeyer, 2015. "Information Disclosure as a Matching Mechanism: Theory and Evidence from a Field Experiment," American Economic Review, American Economic Association, vol. 105(2), pages 886-905, February.
    29. Genesove, David, 1993. "Adverse Selection in the Wholesale Used Car Market," Journal of Political Economy, University of Chicago Press, vol. 101(4), pages 644-665, August.
    30. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2013. "The performance of estimators based on the propensity score," Journal of Econometrics, Elsevier, vol. 175(1), pages 1-21.
    31. Winand Emons & George Sheldon, 2009. "The market for used cars: new evidence of the lemons phenomenon," Applied Economics, Taylor & Francis Journals, vol. 41(22), pages 2867-2885.
    32. Ginger Zhe Jin & Andrew Kato, 2006. "Price, quality, and reputation: evidence from an online field experiment," RAND Journal of Economics, The RAND Corporation, vol. 37(4), pages 983-1005, December.
    33. Thomas W. Gilligan, 2004. "Lemons and Leases in the Used Business Aircraft Market," Journal of Political Economy, University of Chicago Press, vol. 112(5), pages 1157-1186, October.
    34. Joffe, Marshall M. & Ten Have, Thomas R. & Feldman, Harold I. & Kimmel, Stephen E., 2004. "Model Selection, Confounder Control, and Marginal Structural Models: Review and New Applications," The American Statistician, American Statistical Association, vol. 58, pages 272-279, November.
    35. George A. Akerlof, 1970. "The Market for "Lemons": Quality Uncertainty and the Market Mechanism," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 84(3), pages 488-500.
    36. Justin P. Johnson & Henry S. Schneider & Michael Waldman, 2014. "The Role and Growth of New-Car Leasing: Theory and Evidence," Journal of Law and Economics, University of Chicago Press, vol. 57(3), pages 665-698.
    37. Ginger Zhe Jin & Phillip Leslie, 2003. "The Effect of Information on Product Quality: Evidence from Restaurant Hygiene Grade Cards," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(2), pages 409-451.
    38. Christopher Adams & Laura Hosken & Peter Newberry, 2011. "Vettes and lemons on eBay," Quantitative Marketing and Economics (QME), Springer, vol. 9(2), pages 109-127, June.
    39. Michael Luca & Georgios Zervas, 2016. "Fake It Till You Make It: Reputation, Competition, and Yelp Review Fraud," Management Science, INFORMS, vol. 62(12), pages 3412-3427, December.
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    Cited by:

    1. Annika Maria Ziegler & Norbert Brunner & Manfred Kühleitner, 2020. "The Markets of Green Cars of Three Countries: Analysis Using Lotka–Volterra and Bertalanffy–Pütter Models," JOItmC, MDPI, vol. 6(3), pages 1-19, August.
    2. Hasan, Iftekhar & Noth, Felix & Tonzer, Lena, 2019. "Thou shalt not bear false witness against your customers: Cultural norms and the Volkswagen scandal," IWH Discussion Papers 21/2019, Halle Institute for Economic Research (IWH).
    3. Aggarwal, Mayank & Chakrabarti, Anindya S. & Chatterjee, Chirantan & Higgins, Matthew J., 2023. "Research and market structure: Evidence from an antibiotic-resistant pathogenic outbreak," Research Policy, Elsevier, vol. 52(1).
    4. Hasan, Iftekhar & Noth, Felix & Tonzer, Lena, 2023. "Cultural norms and corporate fraud: Evidence from the Volkswagen scandal," Journal of Corporate Finance, Elsevier, vol. 82(C).
    5. Gøril L. Andreassen & Jo Thori Lind, 2024. "Climate, Technology and Value: Insights from the First Decade with Mass-Consumption of Electric Vehicles," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(7), pages 1783-1844, July.
    6. Inge van den Bijgaart & Davide Cerruti, 2024. "The Effect of Information on Market Activity: Evidence from Vehicle Recalls," The Review of Economics and Statistics, MIT Press, vol. 106(1), pages 230-245, January.
    7. Blaise Melly & Rafael Lalive, 2020. "Estimation, Inference, and Interpretation in the Regression Discontinuity Design," Diskussionsschriften dp2016, Universitaet Bern, Departement Volkswirtschaft.

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    More about this item

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality
    • L62 - Industrial Organization - - Industry Studies: Manufacturing - - - Automobiles; Other Transportation Equipment; Related Parts and Equipment

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