IDEAS home Printed from https://ideas.repec.org/a/prg/jnlpol/v2021y2021i6id1337p651-668.html
   My bibliography  Save this article

Kvantifikace fiskálních dopadů uskutečněných reforem zdanění osobních příjmů v České republice
[Quantification of Fiscal Impacts of Personal Income Tax Reforms Implemented in the Czech Republic]

Author

Listed:
  • Jana Tepperová
  • Jan Pavel
  • Markéta Arltová

Abstract

Personal income taxation in the Czech Republic has undergone significant changes in the last 20 years. Among main changes is replacing of deductions from the tax base with tax credits in 2006, as well as linking income tax and contributions on compulsory insurance in the form of so-called super-gross wage with the simultaneous introduction of a flat tax rate and introduction of maximum assessment bases for compulsory contributions in 2008. In this paper, we quantify the fiscal impacts of significant changes using macroeconomic and microeconomic approaches. We compare the results within each other, but also with the expected fiscal impact stated in the explanatory reports of the amending laws. The results show good consistency in estimates of the fiscal impact of tax and contribution reforms and confirm four fiscally significant reforms from 2000 to 2018. The expected negative and positive effects of changes in income tax presented in the explanatory reports are generally lower than in our calculations. Improving the quantification of fiscal impacts is essential for the adoption of an efficient and rational tax policy.

Suggested Citation

  • Jana Tepperová & Jan Pavel & Markéta Arltová, 2021. "Kvantifikace fiskálních dopadů uskutečněných reforem zdanění osobních příjmů v České republice [Quantification of Fiscal Impacts of Personal Income Tax Reforms Implemented in the Czech Republic]," Politická ekonomie, Prague University of Economics and Business, vol. 2021(6), pages 651-668.
    • Handle: RePEc:prg:jnlpol:v:2021:y:2021:i:6:id:1337:p:651-668
    DOI: 10.18267/j.polek.1337
    as

    Download full text from publisher

    File URL: http://polek.vse.cz/doi/10.18267/j.polek.1337.html
    Download Restriction: free of charge
    File URL: http://polek.vse.cz/doi/10.18267/j.polek.1337.pdf
    Download Restriction: free of charge
    File URL: https://libkey.io/10.18267/j.polek.1337?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jarque, Carlos M. & Bera, Anil K., 1980. "Efficient tests for normality, homoscedasticity and serial independence of regression residuals," Economics Letters, Elsevier, vol. 6(3), pages 255-259.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Juncal Cunado & David Gabauer & Rangan Gupta, 2021. "Realized Volatility Spillovers between Energy and Metal Markets: A Time-Varying Connectedness Approach," Working Papers 202180, University of Pretoria, Department of Economics.
    2. Elie Bouri & Georges Azzi, 2014. "On the Dynamic Transmission of Mean and Volatility across the Arab Stock Markets," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 13(3), pages 279-304, December.
    3. Eric Fur, 2023. "Risk and return of classic car market prices: passion or financial investment?," Journal of Asset Management, Palgrave Macmillan, vol. 24(1), pages 59-68, February.
    4. Georgiev, Iliyan, 2010. "Model-based asymptotic inference on the effect of infrequent large shocks on cointegrated variables," Journal of Econometrics, Elsevier, vol. 158(1), pages 37-50, September.
    5. Jin, Xiaoye, 2015. "Volatility transmission and volatility impulse response functions among the Greater China stock markets," Journal of Asian Economics, Elsevier, vol. 39(C), pages 43-58.
    6. Lenten, Liam J.A. & Geerling, Wayne & Kónya, László, 2012. "A hedonic model of player wage determination from the Indian Premier League auction: Further evidence," Sport Management Review, Elsevier, vol. 15(1), pages 60-71.
    7. Martha Misas A. & Carlos Esteban Posada P & Diego Mauricio Vásquez E, 2003. "¿Está determinado el nivel de precios por las expectativas de dinero y producto en Colombia?," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República, vol. 21(43), pages 8-31, June.
    8. Bouri, Elie & Gabauer, David & Gupta, Rangan & Tiwari, Aviral Kumar, 2021. "Volatility connectedness of major cryptocurrencies: The role of investor happiness," Journal of Behavioral and Experimental Finance, Elsevier, vol. 30(C).
    9. Evrim Mandacı, Pınar & Cagli, Efe Çaglar & Taşkın, Dilvin, 2020. "Dynamic connectedness and portfolio strategies: Energy and metal markets," Resources Policy, Elsevier, vol. 68(C).
    10. Le, Trung H. & Pham, Linh & Do, Hung X., 2023. "Price risk transmissions in the water-energy-food nexus: Impacts of climate risks and portfolio implications," Energy Economics, Elsevier, vol. 124(C).
    11. David Brasington & Don Haurin, 2005. "Capitalization of Parent, School, and Peer Group Components of School Quality into House Price," Departmental Working Papers 2005-04, Department of Economics, Louisiana State University.
    12. Pao, Hsiao-Tien & Fu, Hsin-Chia, 2013. "The causal relationship between energy resources and economic growth in Brazil," Energy Policy, Elsevier, vol. 61(C), pages 793-801.
    13. Ron Bird & Harry Liem & Susan Thorp, 2012. "The Tortoise and the Hare: Risk Premium Versus Alternative Asset Portfolios," Working Paper Series 16, The Paul Woolley Centre for Capital Market Dysfunctionality, University of Technology, Sydney.
    14. Dimitrios Kartsonakis Mademlis & Nikolaos Dritsakis, 2021. "Volatility Forecasting using Hybrid GARCH Neural Network Models: The Case of the Italian Stock Market," International Journal of Economics and Financial Issues, Econjournals, vol. 11(1), pages 49-60.
    15. Kyritsis, Evangelos & Serletis, Apostolos, 2018. "The zero lower bound and market spillovers: Evidence from the G7 and Norway," Research in International Business and Finance, Elsevier, vol. 44(C), pages 100-123.
    16. Denis Schweizer & Lars Haß & Lutz Johanning & Bernd Rudolph, 2013. "Do Alternative Real Estate Investment Vehicles Add Value to REITs? Evidence from German Open-ended Property Funds," The Journal of Real Estate Finance and Economics, Springer, vol. 47(1), pages 65-82, July.
    17. Kanas, Angelos, 2008. "On real interest rate dynamics and regime switching," Journal of Banking & Finance, Elsevier, vol. 32(10), pages 2089-2098, October.
    18. Dungey, Mardi & Milunovich, George & Thorp, Susan & Yang, Minxian, 2015. "Endogenous crisis dating and contagion using smooth transition structural GARCH," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 71-79.
    19. Charlotte Christiansen, 2007. "Volatility‐Spillover Effects in European Bond Markets," European Financial Management, European Financial Management Association, vol. 13(5), pages 923-948, November.
    20. Chen, Junyi & Kibriya, Shahriar & Bessler, David & Price, Edwin, 2018. "The relationship between conflict events and commodity prices in Sudan," Journal of Policy Modeling, Elsevier, vol. 40(4), pages 663-684.

    More about this item

    Keywords

    personal income tax; social security contributions; implemented tax reforms; tax revenue; microsimulation; time-series analysis;
    All these keywords.

    JEL classification:

    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • H24 - Public Economics - - Taxation, Subsidies, and Revenue - - - Personal Income and Other Nonbusiness Taxes and Subsidies
    • H61 - Public Economics - - National Budget, Deficit, and Debt - - - Budget; Budget Systems

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:prg:jnlpol:v:2021:y:2021:i:6:id:1337:p:651-668. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Stanislav Vojir (email available below). General contact details of provider: https://edirc.repec.org/data/uevsecz.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.