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Tax Analysis and Revenue Forecasting

Author

Listed:
  • Glenn Jenkins

    (Queen's University, Kingston, On, Canada)

  • CHUN-YAN KUO

    (Queen's University, Kingston, On, Canada)

  • GANGADHAR SHUKLA

    (Development Associate at the Harvard Institute for International Development, Harvard University)

Abstract

Tax analysis and forecasting of revenues are of critical importance to governments in ensuring stability in tax and expenditure policies. To augment timely and effective analysis of the revenue aspects of the fiscal policy, governments have increasingly turned toward in-house tax policy units rather than relying on tax experts from outside their countries. These tax policy units have been increasingly called upon to analyze the impact of tax policies on the economy and to estimate the revenue implications of tax measures, with the ultimate objective of ensuring a healthy fiscal situation within the economy. Tax policy units also help ensure that tax systems are efficient, fair, and simple to understand and comply with. Such systems help to create an economic environment that is conducive to greater social justice. This manual provides a basic set of guidelines in both theory and practice to carry out this analysis.

Suggested Citation

  • Glenn Jenkins & CHUN-YAN KUO & GANGADHAR SHUKLA, 2000. "Tax Analysis and Revenue Forecasting," Development Discussion Papers 2000-05, JDI Executive Programs.
  • Handle: RePEc:qed:dpaper:169
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    Citations

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    Cited by:

    1. Khatai Aliyev & Altay Ismayilov & Ilkin Gasimov, 2019. "Modelling Elasticity of Non-Oil Tax Revenues to Oil Price Changes: is There U-Shaped Association? Evidence from Azerbaijan," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 67(3), pages 799-810.
    2. Bernd Hayo & Sascha Mierzwa & Umut Unal, 2021. "Estimating Policy-Corrected Long-Term and Short-Term Tax Elasticities for the United States, Germany, and the United Kingdom," MAGKS Papers on Economics 202112, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    3. Hovick Shahnazarian & Martin Solberger & Erik Spånberg, 2017. "Forecasting and Analysing Corporate Tax Revenues in Sweden Using Bayesian VAR Models," Finnish Economic Papers, Finnish Economic Association, vol. 28(1), pages 50-74, Autumn.
    4. Agosin, Manuel R. & Barreix, Alberto Daniel & Machado, Roberto & Gómez Sabaini, Juan C. & Cornick, Jorge & Acevedo, Carlos & González Orellana, Mauricio & Schenone, Osvaldo H. & De la Torre, Carlos, 2005. "Recaudar para crecer: Bases para la reforma tributaria en Centroamérica," IDB Publications (Books), Inter-American Development Bank, number 276, November.
    5. Gangadha Prasad Shukla & Duc Minh Pham & Michael Engelschalk & Tuan Minh Le, 2011. "Tax Reform in Vietnam," World Bank Publications - Reports 26851, The World Bank Group.
    6. P. A. Nazarov & Kazakova, Maria, 2014. "Theoretical Basis of Prediction of Main Budget Parameters of Country," Published Papers r90221, Russian Presidential Academy of National Economy and Public Administration.
    7. Christos Papageorgiou & Panagiotis Farlekas & Zacharias Dermatis, 2021. "Assessing the impact of excise duties on a state’s revenues: the case of Greece," Public Sector Economics, Institute of Public Finance, vol. 45(3), pages 387-412.
    8. Fabio Ashtar Telarico, 2023. "Опростяване И Усъвършенстване [Simplifying and Improving]," Post-Print hal-03989969, HAL.
    9. Manuel R. Agosin & Alberto Daniel Barreix & Roberto Machado & Juan C. Gómez Sabaini & Jorge Cornick & Carlos Acevedo & Mauricio González Orellana & Osvaldo H. Schenone & Carlos de la Torre, 2005. "Recaudar para crecer: Bases para la reforma tributaria en Centroamérica," IDB Publications (Books), Inter-American Development Bank, number 20678 edited by Manuel R. Agosin & Alberto Daniel Barreix & Roberto Machado, February.
    10. P. A. Nazarov & Kazakova, Maria, 2014. "Development of Prediction Model of Basic Budget Parameters in Russian Federation," Published Papers r90220, Russian Presidential Academy of National Economy and Public Administration.
    11. Chimilila, Cyril, 2017. "Forecasting Tax Revenue and its Volatility in Tanzania," African Journal of Economic Review, African Journal of Economic Review, vol. 5(1), January.
    12. Machado, Roberto & Zuloeta, José, 2012. "The Impact of the Business Cycle on Elasticities of Tax Revenue in Latin America," IDB Publications (Working Papers) 4064, Inter-American Development Bank.
    13. Syeda Um Ul Baneen, 2023. "Federal Tax Revenue Forecasting of Pakistan: Alternative Approaches," PIDE-Working Papers 2023:12, Pakistan Institute of Development Economics.
    14. Sean Dougherty & Pietrangelo Biase, 2021. "Who absorbs the shock? An analysis of the fiscal impact of the COVID-19 crisis on different levels of government," International Economics and Economic Policy, Springer, vol. 18(3), pages 517-540, July.
    15. Fabio Ashtar Telarico, 2023. "Simplifying and Improving: Revisiting Bulgaria's Revenue Forecasting Models," Papers 2303.09405, arXiv.org.
    16. P. A. Nazarov & Kazakova, Maria, 2014. "Methodological Principles of Prediction of Tax Revenues of Budgetary System," Published Papers r90219, Russian Presidential Academy of National Economy and Public Administration.
    17. Hassen, Azime A., 2016. "Agricultural taxation and economic growth in Ethiopia," 2016 Fifth International Conference, September 23-26, 2016, Addis Ababa, Ethiopia 246395, African Association of Agricultural Economists (AAAE).
    18. Lagravinese, Raffaele & Liberati, Paolo & Sacchi, Agnese, 2020. "Tax buoyancy in OECD countries: New empirical evidence," Journal of Macroeconomics, Elsevier, vol. 63(C).
    19. Sabaj, Ernil & Kahveci, Mustafa, 2018. "Forecasting tax revenues in an emerging economy: The case of Albania," MPRA Paper 84404, University Library of Munich, Germany.
    20. Fabio Ashtar Telarico, 2022. "Simplify and Improve: Revisiting Bulgaria's Revenue Forecasting Models," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 6, pages 633-654.
    21. Nepal Rastra Bank & Nepal Rastra Bank, 2018. "Macro Modeling Practices at Nepal Rastra Bank," NRB Economic Review, Nepal Rastra Bank, Economic Research Department, vol. 30(1), pages 1-18, April.

    More about this item

    Keywords

    revenue forecasting; tax analysis; tax modeling; revenue collection; tax expenditure analysis;
    All these keywords.

    JEL classification:

    • H20 - Public Economics - - Taxation, Subsidies, and Revenue - - - General
    • H21 - Public Economics - - Taxation, Subsidies, and Revenue - - - Efficiency; Optimal Taxation
    • H24 - Public Economics - - Taxation, Subsidies, and Revenue - - - Personal Income and Other Nonbusiness Taxes and Subsidies
    • H25 - Public Economics - - Taxation, Subsidies, and Revenue - - - Business Taxes and Subsidies

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