IDEAS home Printed from https://ideas.repec.org/p/pre/wpaper/201217.html
   My bibliography  Save this paper

Evaluation of the Effects of Reduced Personal and Corporate Tax Rates on the Growth Rates of the U.S. Economy

Author

Listed:
  • Jacques Kibambe Ngoie

    (Department of Economics, University of Pretoria)

  • Arnold Zellner

    (Booth School of Business, University of Chicago)

Abstract

Using several variants of a Marshallian Macroeconomic Model (MMM), see Zellner and Israilevich (2005) and Ngoie and Zellner (2012), this paper investigates how various tax rate reductions may help stimulate the U.S. economy while not adversely affecting aggregate U.S. debt. Variants of our MMM that are shown to fit past data and to perform well in forecasting experiments are employed to evaluate the effects of alternative tax policies. Using quarterly data, our one-sector MMM has been able to predict the 2008 downturn and the 2009Q3 upturn of the U.S. economy. Among other results, this study, using transfer and impulse response functions associated with our MMM, finds that permanent 5 percentage points cut in the personal income and corporate profits tax rates will cause the U.S. real GDP growth rate to rise by 3.0 percentage points with a standard error of 0.6 percentage points. Also, while this policy change leads to positive growth of the government sector, its share of total real GDP is slightly reduced. This is understandable since short run effects of tax cuts include the transfer of tax revenue from the government to the private sector. The private sector is allowed to manage a larger portion of its revenue while government is forced to cut public spending on social programs with little growth enhancing effects. This broadens private economic activities overall. Further, these tax rate policy changes stimulate the growth of the federal tax base considerably which helps to reduce annual budget deficits and the federal debt.

Suggested Citation

  • Jacques Kibambe Ngoie & Arnold Zellner, 2012. "Evaluation of the Effects of Reduced Personal and Corporate Tax Rates on the Growth Rates of the U.S. Economy," Working Papers 201217, University of Pretoria, Department of Economics.
  • Handle: RePEc:pre:wpaper:201217
    as

    Download full text from publisher

    File URL: http://www.up.ac.za/media/shared/61/WP/wp280.zp39564.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Giannone, Domenico & Reichlin, Lucrezia, 2009. "Comments on "Forecasting economic and financial variables with global VARs"," International Journal of Forecasting, Elsevier, vol. 25(4), pages 684-686, October.
    2. Marianne Baxter & Robert G. King, 1999. "Measuring Business Cycles: Approximate Band-Pass Filters For Economic Time Series," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 575-593, November.
    3. William Barnett & Evgeniya Duzhak, 2010. "Empirical assessment of bifurcation regions within New Keynesian models," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 45(1), pages 99-128, October.
    4. Ngoie, Jacques Kibambe & Zellner, Arnold, 2012. "The Use Of A Marshallian Macroeconomic Model For Policy Evaluation: Case Of South Africa," Macroeconomic Dynamics, Cambridge University Press, vol. 16(3), pages 423-448, June.
    5. Barro, Robert J, 1990. "Government Spending in a Simple Model of Endogenous Growth," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 103-126, October.
    6. Zellner, Arnold & Tobias, Justin, 1998. "A Note on Aggregation, Disaggregation and Forecasting Performance," CUDARE Working Papers 198677, University of California, Berkeley, Department of Agricultural and Resource Economics.
    7. Victor Zarnowitz, 1992. "Business Cycles: Theory, History, Indicators, and Forecasting," NBER Books, National Bureau of Economic Research, Inc, number zarn92-1.
    8. Zarnowitz, Victor, 1992. "Business Cycles," National Bureau of Economic Research Books, University of Chicago Press, number 9780226978901, September.
    9. Frank Smets & Rafael Wouters, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
    10. Zellner, Arnold & Israilevich, Guillermo, 2005. "The Marshallian macroeconomic model: A progress report," International Journal of Forecasting, Elsevier, vol. 21(4), pages 627-645.
    11. Zellner,Arnold & Palm,Franz C. (ed.), 2004. "The Structural Econometric Time Series Analysis Approach," Cambridge Books, Cambridge University Press, number 9780521814072, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sayef Bakari & Ali Ahmadi & Sofien Tiba, 2020. "The Nexus among Domestic Investment, Taxation, and Economic Growth in Germany: Cointegration and Vector Error Correction Model Analysis," Journal of Smart Economic Growth, , vol. 5(1), pages 37-47, May.
    2. Dladla, Khumbuzile & Khobai, Hlalefang, 2018. "The impact of Taxation on Economic Growth in South Africa," MPRA Paper 86219, University Library of Munich, Germany.
    3. Keshab Bhattarai & Jonathan Haughton & Michael Head & David G Tuerck, 2017. "Simulating Corporate Income Tax Reform Proposals with a Dynamic CGE Model," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(5), pages 20-35, May.
    4. Emile AIFA, 2024. "Taxation and Economic Growth in Benin: Does the Rate “eat†the Base?," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 14(6), pages 1-26.
    5. Bournakis, Ioannis & Mallick, Sushanta, 2018. "TFP estimation at firm level: The fiscal aspect of productivity convergence in the UK," Economic Modelling, Elsevier, vol. 70(C), pages 579-590.

    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. Jacques Kibambe Ngoie & Arnold Zellner, 2012. "Modeling and Policy Analysis for the U.S. Science Sector," Working Papers 201207, University of Pretoria, Department of Economics.
    2. McKay, Alisdair & Reis, Ricardo, 2008. "The brevity and violence of contractions and expansions," Journal of Monetary Economics, Elsevier, vol. 55(4), pages 738-751, May.
    3. Mauro Napoletano & Andrea Roventini & Sandro Sapio, 2006. "Are Business Cycles All Alike? A Bandpass Filter Analysis of the Italian and US Cycles," Rivista italiana degli economisti, Società editrice il Mulino, issue 1, pages 87-118.
    4. Kajal Lahiri, Wenxiong Yao, and Peg Young, 2003. "Cycles in the Transportation Sector and the Aggregate Economy," Discussion Papers 03-14, University at Albany, SUNY, Department of Economics.
    5. Etro, Federico, 2017. "Research in economics and macroeconomics," Research in Economics, Elsevier, vol. 71(3), pages 373-383.
    6. Hao Tan & John A. Mathews, 2007. "Cyclical Dynamics in Three Industries," DRUID Working Papers 07-07, DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies.
    7. Lippi, Marco & Reichlin, Lucrezia & Hallin, Marc & Forni, Mario & Altissimo, Filippo & Cristadoro, Riccardo & Veronese, Giovanni & Bassanetti, Antonio, 2001. "EuroCOIN: A Real Time Coincident Indicator of the Euro Area Business Cycle," CEPR Discussion Papers 3108, C.E.P.R. Discussion Papers.
    8. Ngoie, Jacques Kibambe, 2014. "Federal research spending and innovation in the U.S. economy," Journal of Policy Modeling, Elsevier, vol. 36(3), pages 492-506.
    9. João Valle e Azevedo & João Tovar Jalles, 2011. "Rational vs. Professional Forecasts," Working Papers w201114, Banco de Portugal, Economics and Research Department.
    10. Kosei Fukuda, 2009. "Forecasting growth cycle turning points using US and Japanese professional forecasters," Empirical Economics, Springer, vol. 36(2), pages 243-267, May.
    11. Prabheesh, K.P. & Anglingkusumo, Reza & Juhro, Solikin M., 2021. "The dynamics of global financial cycle and domestic economic cycles: Evidence from India and Indonesia," Economic Modelling, Elsevier, vol. 94(C), pages 831-842.
    12. Ghassan Dibeh, 2001. "Time Delays and Business Cycles: Hilferding's model revisited," Review of Political Economy, Taylor & Francis Journals, vol. 13(3), pages 329-341.
    13. Heilemann, Ullrich & Münch, Heinz Josef, 2005. "The Clinton era and the U.S. business cycle : what did change?," Technical Reports 2005,12, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    14. Robert E. Carpenter & Steven M. Fazzari & Bruce C. Petersen, 1994. "Inventory (Dis)Investment, Internal Finance Fluctuations, and the Business Cycle," Macroeconomics 9401001, University Library of Munich, Germany.
    15. Gallegati, Marco & Giri, Federico & Palestrini, Antonio, 2019. "DSGE model with financial frictions over subsets of business cycle frequencies," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 152-163.
    16. DJINKPO, Medard, 2019. "A DSGE model for Fiscal Policy Analysis in The Gambia," MPRA Paper 97874, University Library of Munich, Germany, revised 30 Dec 2019.
    17. Bechný Jakub, 2019. "Output gap in the Czech economy: DSGE approach," Review of Economic Perspectives, Sciendo, vol. 19(2), pages 137-156, June.
    18. Olivier Bandt & Catherine Bruneau & Alexis Flageollet, 2006. "Assessing Aggregate Comovements in France, Germany and Italy Using a Non Stationary Factor Model of the Euro Area," Springer Books, in: Convergence or Divergence in Europe?, pages 95-120, Springer.
    19. Levy, Daniel & Dezhbakhsh, Hashem, 2003. "International Evidence on Output Fluctuation and Shock Persistence," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 50(7), pages 1499-1530.
    20. Edoardo GAFFEO & Ivan PETRELLA & Damjan PFAJFAR & Emiliano SANTORO, 2010. "Reference-dependent preferences and the transmission of monetary policy," Working Papers of Department of Economics, Leuven ces10.28, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.

    More about this item

    Keywords

    Marshallian Macroeconomic Model; Disaggregation; Transfer Functions; Impulse Response Functions; U.S. Fiscal Policy Analysis;
    All these keywords.

    JEL classification:

    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pre:wpaper:201217. 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: Rangan Gupta (email available below). General contact details of provider: https://edirc.repec.org/data/decupza.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.