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Taxi Market Deregulation: Effects on Market Outcomes, Tax Evasion and Crime

Author

Listed:
  • Jarkko Harju
  • Ida Kankaanranta
  • Kaisa Kotakorpi

Abstract

We study the effects of taxi market deregulation in Finland, which removed price controls and lowered barriers to entry. The reform led to a surge in firm entry and a modest increase in exit, indicating substantial changes in market structure. Average taxi prices increased slightly according to price indices, while monthly firm-level reported sales and VAT declined by over 10 percent. Operating costs and mileage remained largely unchanged, suggesting limited demand responses. These findings point to increased tax evasion following deregulation. Consistent with this interpretation, we document a small rise in property crime, with no effects on other criminal offenses.

Suggested Citation

  • Jarkko Harju & Ida Kankaanranta & Kaisa Kotakorpi, 2026. "Taxi Market Deregulation: Effects on Market Outcomes, Tax Evasion and Crime," CESifo Working Paper Series 12819, CESifo.
  • Handle: RePEc:ces:ceswps:_12819
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    References listed on IDEAS

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    1. James Alm, 2021. "Tax evasion, technology, and inequality," Economics of Governance, Springer, vol. 22(4), pages 321-343, December.
    2. Colin Camerer & Linda Babcock & George Loewenstein & Richard Thaler, 1997. "Labor Supply of New York City Cabdrivers: One Day at a Time," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 407-441.
    3. Uwe Dulleck & Rudolf Kerschbamer, 2006. "On Doctors, Mechanics, and Computer Specialists: The Economics of Credence Goods," Journal of Economic Literature, American Economic Association, vol. 44(1), pages 5-42, March.
    4. Loukas Balafoutas & Adrian Beck & Rudolf Kerschbamer & Matthias Sutter, 2013. "What Drives Taxi Drivers? A Field Experiment on Fraud in a Market for Credence Goods," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 80(3), pages 876-891.
    5. Jonathan V. Hall & John J. Horton & Daniel T. Knoepfle, 2023. "Ride-Sharing Markets Re-Equilibrate," NBER Working Papers 30883, National Bureau of Economic Research, Inc.
    6. Nicholas Buchholz, 2022. "Spatial Equilibrium, Search Frictions, and Dynamic Efficiency in the Taxi Industry," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(2), pages 556-591.
    7. Neil Thakral & Linh T. Tô, 2021. "Daily Labor Supply and Adaptive Reference Points," American Economic Review, American Economic Association, vol. 111(8), pages 2417-2443, August.
    8. Henrik Jacobsen Kleven & Claus Thustrup Kreiner & Emmanuel Saez, 2016. "Why Can Modern Governments Tax So Much? An Agency Model of Firms as Fiscal Intermediaries," Economica, London School of Economics and Political Science, vol. 83(330), pages 219-246, April.
    9. repec:ejw:journl:v:3:y:2006:i:1:p:109-132 is not listed on IDEAS
    10. Meng Liu & Erik Brynjolfsson & Jason Dowlatabadi, 2021. "Do Digital Platforms Reduce Moral Hazard? The Case of Uber and Taxis," Management Science, INFORMS, vol. 67(8), pages 4665-4685, August.
    11. Judd Cramer & Alan B. Krueger, 2016. "Disruptive Change in the Taxi Business: The Case of Uber," American Economic Review, American Economic Association, vol. 106(5), pages 177-182, May.
    12. Cairns, Robert D. & Liston-Heyes, Catherine, 1996. "Competition and regulation in the taxi industry," Journal of Public Economics, Elsevier, vol. 59(1), pages 1-15, January.
    13. Athey, Susan & Castillo, Juan Camilo & Chandar, Bharat, 2024. "Service Quality on Online Platforms: Empirical Evidence about Driving Quality at Uber," Research Papers 3894, Stanford University, Graduate School of Business.
    14. Henry S. Farber, 2015. "Why you Can’t Find a Taxi in the Rain and Other Labor Supply Lessons from Cab Drivers," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(4), pages 1975-2026.
    15. Loukas Balafoutas & Adrian Beck & Rudolf Kerschbamer & Matthias Sutter, 2014. "The Hidden Costs of Tax Evasion - Collaborative Tax Evasion in Markets for Expert Services," Working Papers 2014-01, Faculty of Economics and Statistics, Universität Innsbruck.
    16. Henrik Jacobsen Kleven & Martin B. Knudsen & Claus Thustrup Kreiner & Søren Pedersen & Emmanuel Saez, 2011. "Unwilling or Unable to Cheat? Evidence From a Tax Audit Experiment in Denmark," Econometrica, Econometric Society, vol. 79(3), pages 651-692, May.
    17. Jarkko Harju & Kaisa Kotakorpi & Tuomas Matikka & Annika Nivala, 2025. "Tax enforcement and firm performance: real and reporting responses to risk-based tax audits," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 32(6), pages 1734-1776, December.
    18. repec:ejw:journl:v:3:y:2006:i:3:p:551-602 is not listed on IDEAS
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    Keywords

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    JEL classification:

    • L52 - Industrial Organization - - Regulation and Industrial Policy - - - Industrial Policy; Sectoral Planning Methods
    • L91 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Transportation: General
    • L98 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Government Policy
    • H26 - Public Economics - - Taxation, Subsidies, and Revenue - - - Tax Evasion and Avoidance

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