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Tributación en Colombia: Una aproximación teórica y empírica de la Curva de Laffer
[Taxes in Colombia: A theoretical and empirical approach to the Laffer Curve]

Author

Listed:
  • Juan Pablo, Herrera Saavedra
  • Juan Camilo, Villar Otálora
  • Jacobo, Campo Robledo

Abstract

El documento presenta una estimación de la Curva de Laffer para la economía colombiana mediante la realización de un análisis de estática comparativa y un análisis de tipo econométrico. Respecto al primer análisis, partiendo de un modelo microeconómico se analiza el nivel de distorsión que se generaría al establecer un impuesto indirecto y las implicaciones que en materia de bienestar se originarían al maximizar el recaudo tributario en el mercado. Para el segundo análisis, utilizando datos del ingreso tributario real per cápita y la tasa impositiva, se estima un modelo econométrico con el fin de calcular la tasa impositiva de tributación óptima en Colombia. Los resultados muestran el cumplimiento de los postulados de Laffer, con una tasa impositiva óptima del 37% aproximadamente, y sugieren un espacio fiscal del Gobierno de aproximadamente 12 puntos porcentuales.

Suggested Citation

  • Juan Pablo, Herrera Saavedra & Juan Camilo, Villar Otálora & Jacobo, Campo Robledo, 2020. "Tributación en Colombia: Una aproximación teórica y empírica de la Curva de Laffer [Taxes in Colombia: A theoretical and empirical approach to the Laffer Curve]," MPRA Paper 105405, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:105405
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    References listed on IDEAS

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    1. Fullerton, Don, 1982. "On the possibility of an inverse relationship between tax rates and government revenues," Journal of Public Economics, Elsevier, vol. 19(1), pages 3-22, October.
    2. Kevin A. Hassett & Alex Brill, 2007. "Revenue-Maximizing Corporate Income Taxes," AEI Economics Working Papers 49742, American Enterprise Institute.
    3. Peter C. B. Phillips & Mico Loretan, 1991. "Estimating Long-run Economic Equilibria," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(3), pages 407-436.
    4. Francisca Guedes de Oliveira & Leonardo Costa, 2013. "The Vat Laffer Curve And The Business Cycle," Working Papers de Economia (Economics Working Papers) 02, Católica Porto Business School, Universidade Católica Portuguesa.
    5. Mathias Trabandt & Harald Uhlig, 2012. "How Do Laffer Curves Differ across Countries?," NBER Chapters, in: Fiscal Policy after the Financial Crisis, pages 211-249, National Bureau of Economic Research, Inc.
    6. Buchanan, James M & Lee, Dwight R, 1982. "Politics, Time, and the Laffer Curve," Journal of Political Economy, University of Chicago Press, vol. 90(4), pages 816-819, August.
    7. Stock, James H & Watson, Mark W, 1993. "A Simple Estimator of Cointegrating Vectors in Higher Order Integrated Systems," Econometrica, Econometric Society, vol. 61(4), pages 783-820, July.
    8. Phillips, P.C.B., 1986. "Understanding spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 33(3), pages 311-340, December.
    9. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    10. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    11. Trabandt, Mathias & Uhlig, Harald, 2011. "The Laffer curve revisited," Journal of Monetary Economics, Elsevier, vol. 58(4), pages 305-327.
    12. Nutahara, Kengo, 2015. "Laffer curves in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 36(C), pages 56-72.
    13. 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.
    14. Peter C. B. Phillips & Bruce E. Hansen, 1990. "Statistical Inference in Instrumental Variables Regression with I(1) Processes," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 57(1), pages 99-125.
    15. Stuart, Charles E, 1981. "Swedish Tax Rates, Labor Supply, and Tax Revenues," Journal of Political Economy, University of Chicago Press, vol. 89(5), pages 1020-1038, October.
    16. Andrews, Donald W K, 1991. "Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation," Econometrica, Econometric Society, vol. 59(3), pages 817-858, May.
    17. F Guedes de Oliveira & L Costa, 2015. "The VAT Laffer Curve and the Business Cycle in the EU27: An Empirical Approach," Economic Issues Journal Articles, Economic Issues, vol. 20(2), pages 29-43, September.
    18. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    19. Lawrence B. Lindsey, 1986. "Individual Taxpayer Response to Tax Cuts 1982-1984 with Implications forthe Revenue Maximizing Tax Rate," NBER Working Papers 2069, National Bureau of Economic Research, Inc.
    20. Saikkonen, Pentti, 1991. "Asymptotically Efficient Estimation of Cointegration Regressions," Econometric Theory, Cambridge University Press, vol. 7(1), pages 1-21, March.
    21. Phillips, Peter C B & Ouliaris, S, 1990. "Asymptotic Properties of Residual Based Tests for Cointegration," Econometrica, Econometric Society, vol. 58(1), pages 165-193, January.
    22. 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.
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    More about this item

    Keywords

    Curva de Laffer; Ingreso Fiscal; Impuesto Óptimo; Incidencia Fiscal en Mercados; Tasa Impositiva de Tributación.;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • E13 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Neoclassical
    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory
    • H20 - Public Economics - - Taxation, Subsidies, and Revenue - - - General
    • H30 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - General

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