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Keeping it off the books: an empirical investigation of firms that engage in tax evasion

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  • Lindsay Tedds

Abstract

This article uses a unique dataset that contains detailed information on firms from around the world to investigate factors that affect under-reporting behaviour. The empirical strategy employed exploits the nature of the dependent variable, which is interval coded, and uses interval regression which provides an asymptotically efficient estimator provided that the classical linear model assumptions hold. These assumptions are investigated using standard diagnostic tests that have been modified for the interval regression model. Evidence is presented that shows that the firms in all regions engage in under-reporting. Regression results indicate that government corruption has the single largest causal effect on under-reporting, resulting in the percentage of sales not reported to the tax authority being 51.3% higher. Taxes have the second single largest causal effect on under-reporting, resulting in the percentage of sales not reported to the tax authority being 18.0% higher, followed by access to financing at 8.9% higher and organized crime at 7.6% higher. Inflation, political instability, exchange rates and the fairness of the legal system were found to have no effect on under-reporting. It is also found that there is a significant correlation between under-reporting and the legal organization of the business, size, age, ownership, competition and audit controls.

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  • Lindsay Tedds, 2010. "Keeping it off the books: an empirical investigation of firms that engage in tax evasion," Applied Economics, Taylor & Francis Journals, vol. 42(19), pages 2459-2473.
  • Handle: RePEc:taf:applec:v:42:y:2010:i:19:p:2459-2473
    DOI: 10.1080/00036840701858141
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    2. Ferrara, Giancarlo & Bucci, Valeria & Campagna, Arianna, 2023. "Audit, presumptive taxation and efficiency: An integrated approach for tax compliance analysis," Economic Systems, Elsevier, vol. 47(3).
    3. Pedroni, Florencia Verónica & Briozzo, Anahí & Pesce, Gabriela, 2022. "Firm-level determinants of business tax evasion in emerging economies: the case of Argentina [Determinantes microeconómicos de la evasión tributaria empresarial en economías emergentes: el caso de ," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 34(1), pages 83-117, December.
    4. Joseph Mawejje & Ibrahim Mike Okumu, 2016. "Tax Evasion and the Business Environment in Uganda," South African Journal of Economics, Economic Society of South Africa, vol. 84(3), pages 440-460, September.
    5. Florencia Verónica Pedroni & Anahí Briozzo & Gabriela Pesce, 2019. "¿Por qué no declarar todo? Determinantes de la subfacturación empresarial en la Argentina," Asociación Argentina de Economía Política: Working Papers 4186, Asociación Argentina de Economía Política.
    6. Laszlo Goerke, 2012. "The Optimal Structure of Commodity Taxation in a Monopoly with Tax Avoidance or Evasion," Public Finance Review, , vol. 40(4), pages 519-536, July.
    7. Gorana Krstić & Branko Radulović, 2015. "Shadow Economy in the Business and Entrepreneurial Sectors," Contributions to Economics, in: Gorana Krstić & Friedrich Schneider (ed.), Formalizing the Shadow Economy in Serbia, edition 127, chapter 0, pages 77-99, Springer.
    8. Laszlo Goerke, 2021. "Tax Evasion by Firms," IAAEU Discussion Papers 202104, Institute of Labour Law and Industrial Relations in the European Union (IAAEU).
    9. Akhtar, Shumi & Akhtar, Farida & John, Kose & Wong, Su-Wen, 2019. "Multinationals' tax evasion: A financial and governance perspective," Journal of Corporate Finance, Elsevier, vol. 57(C), pages 35-62.
    10. Colin C. Williams, 2014. "Confronting the Shadow Economy," Books, Edward Elgar Publishing, number 15370.
    11. Gokalp, Omer N. & Lee, Seung-Hyun & Peng, Mike W., 2017. "Competition and corporate tax evasion: An institution-based view," Journal of World Business, Elsevier, vol. 52(2), pages 258-269.
    12. ferrara, giancarlo & campagna, arianna & bucci, valeria & atella, vincenzo, 2021. "Presumptive taxation and firms’ efficiency: an integrated approach for tax compliance analysis," MPRA Paper 111516, University Library of Munich, Germany.
    13. Colin C. Williams & Friedrich Schneider, 2016. "Measuring the Global Shadow Economy," Books, Edward Elgar Publishing, number 16551.
    14. Christou Anna & Eriotis Nikolaos & Lomis Ioannis & Papadakis Spyros & Thalassinos Eleftherios, 2021. "The Greek VAT Gap: The Influence of Individual Economic Sectors," European Research Studies Journal, European Research Studies Journal, vol. 0(4B), pages 851-882.

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    JEL classification:

    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • O17 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Formal and Informal Sectors; Shadow Economy; Institutional Arrangements
    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory

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