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Tax rate to maximize the revenue: Laffer curve for the Czech Republic

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  • Michal Karas

    (Ústav financí, Vysoké učení technické v Brně, Fakulta podnikatelská, Kolejní 2906/4, 612 00, Brno, Česká republika)

Abstract

The aim of this article is to model the relationship between the rate of personal income tax and the revenue it generates, and to derive a tax rate that would maximize this revenue within the Czech Republic, using methodologies described in earlier works (Hsing, 1996). This tax rate represents an upper limit. Overstepping it has negative consequences for corporate finances and government budgetary funding alike, because it undermines the workers' motivation to work, reduces buying power, and shifts work activities in favor of gray economy. The period of interest is a time series from 1993 to 2010. Two models were devised. The basic research instrument was a second-degree polynomial regression with a logarithmic transformation of the input data. The explaining variable was the tax revenue, the explanatory variable in Model 1 was the ratio of tax revenue to personal gross annual income. Model 2 featured the ratio of tax revenue to gross domestic product. To limit model instability, all data was stated per capita, in 2010 prices. Both models are statistically significant. By comparison, it was determined that, in the period of 1994-2010, the historical tax rate was lower than the rate designed to maximize the revenue. It approached the theoretical optimum most closely in 2007, and deviated from it most severely in 1995.

Suggested Citation

  • Michal Karas, 2012. "Tax rate to maximize the revenue: Laffer curve for the Czech Republic," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 60(4), pages 189-194.
  • Handle: RePEc:mup:actaun:actaun_2012060040189
    DOI: 10.11118/actaun201260040189
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    References listed on IDEAS

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    Cited by:

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    2. Kostantinos J. Liapis & Evangelos D. Politis & Dimitra Ntertsou & Eleftherios I. Thalassinos, 2020. "Investigating the Relationship between Tax Revenues and Tax Ratios: An Empirical Research for Selected OECD Countries," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(1), pages 215-229.
    3. Herrera Saavedra, Juan Pablo & Villar Otálora, Juan Camilo & Campo-Robledo, Jacobo, 2021. "Tributación en Colombia: Una aproximación teórica y empírica de la Curva de Laffer," Working papers 73, Red Investigadores de Economía.
    4. Şen, Hüseyin & Bulut-Çevik, Zeynep Burcu & Kaya, Ayşe, 2017. "The Khaldun-Laffer Curve Revisited: A Personal Income Tax-Based Analysis for Turkey," MPRA Paper 78850, University Library of Munich, Germany, revised 27 Apr 2017.
    5. Hüseyin ŞEN & Zeynep Burcu BULUT-ÇEVIK, 2021. "The Revenue-Maximizing Corporate Income Tax Rate for Turkey," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 122-142, December.
    6. Dimitra Ntertsou & Konstantinos Liapis, 2022. "Investigating the Relationship between Tax Rates and Tax Revenues in the Euro Area: The Effect of the Shadow Economy," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 49-62.
    7. Dennis Ridley & Cartreal Davison, 2022. "Optimal Tax Rate for Maximal Revenue Generation," Technium Social Sciences Journal, Technium Science, vol. 29(1), pages 271-284, March.

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