IDEAS home Printed from https://ideas.repec.org/a/ecr/col070/46588.html
   My bibliography  Save this article

Indicator of the efficiency of value added tax and income tax collection in Ecuador

Author

Listed:
  • Carrillo Maldonado, Paul
  • Ramírez-Álvarez, José

Abstract

This paper outlines a methodology to measure the efficiency of revenue collection by tax administrations. The proposed methodology is aimed in particular at developing countries that do not have enough disaggregated information to measure tax gaps (registration, filing, veracity and payment) using traditional methods. The proposed indices are based on estimations of the structural balances of public finances, and rises in the indices can be interpreted as a comprehensive narrowing of tax gaps. The methodology is applied to Ecuador’s value added tax (VAT) and income tax, producing results that show that a more efficient tax administration leads to revenue growth.

Suggested Citation

  • Carrillo Maldonado, Paul & Ramírez-Álvarez, José, 2020. "Indicator of the efficiency of value added tax and income tax collection in Ecuador," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), August.
    • Handle: RePEc:ecr:col070:46588
    as

    Download full text from publisher

    File URL: http://repositorio.cepal.org/handle/11362/46588
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Paúl A. Carrillo Maldonado, 2017. "El efecto de la política fiscal en expansión y recesión para Ecuador: un modelo MSVAR," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, vol. 36(71), pages 405-439, July.
    2. Michael Keen, 2013. "The Anatomy of the Vat," National Tax Journal, National Tax Association;National Tax Journal, vol. 66(2), pages 423-446, June.
    3. Roberto Perotti, 2008. "In Search of the Transmission Mechanism of Fiscal Policy," NBER Chapters, in: NBER Macroeconomics Annual 2007, Volume 22, pages 169-226, National Bureau of Economic Research, Inc.
    4. Wendy Edelberg & Martin Eichenbaum & Jonas D.M. Fisher, 1999. "Understanding the Effects of a Shock to Government Purchases," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 2(1), pages 166-206, January.
    5. Keith Walsh, 2012. "Understanding Taxpayer Behaviour – New Opportunities for Tax Administration," The Economic and Social Review, Economic and Social Studies, vol. 43(3), pages 451-475.
    6. Christina D. Romer & David H. Romer, 2010. "The Macroeconomic Effects of Tax Changes: Estimates Based on a New Measure of Fiscal Shocks," American Economic Review, American Economic Association, vol. 100(3), pages 763-801, June.
    7. Christopher F Baum, 2005. "Stata: The language of choice for time-series analysis?," Stata Journal, StataCorp LP, vol. 5(1), pages 46-63, March.
    8. Paul Carrillo & Dina Pomeranz & Monica Singhal, 2017. "Dodging the Taxman: Firm Misreporting and Limits to Tax Enforcement," American Economic Journal: Applied Economics, American Economic Association, vol. 9(2), pages 144-164, April.
    9. 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.
    10. Benno Torgler, 2007. "Tax Compliance and Tax Morale," Books, Edward Elgar Publishing, number 4096.
    11. Hansen, Bruce E., 1992. "Testing for parameter instability in linear models," Journal of Policy Modeling, Elsevier, vol. 14(4), pages 517-533, August.
    12. Michael Hallsworth, 2014. "The use of field experiments to increase tax compliance," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 30(4), pages 658-679.
    13. Nicky J. Welton & Howard H. Z. Thom, 2015. "Value of Information," Medical Decision Making, , vol. 35(5), pages 564-566, July.
    14. -, 2020. "CEPAL Review no. 131," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), August.
    15. Gareth Myles, 2000. "Taxation and economic growth," Fiscal Studies, Institute for Fiscal Studies, vol. 21(1), pages 141-168, March.
    16. 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.
    17. Clemente, Jesus & Montanes, Antonio & Reyes, Marcelo, 1998. "Testing for a unit root in variables with a double change in the mean," Economics Letters, Elsevier, vol. 59(2), pages 175-182, May.
    18. James Alm & Denvil Duncan, 2014. "Estimating Tax Agency Efficiency," Public Budgeting & Finance, Wiley Blackwell, vol. 34(3), pages 92-110, September.
    19. Allingham, Michael G. & Sandmo, Agnar, 1972. "Income tax evasion: a theoretical analysis," Journal of Public Economics, Elsevier, vol. 1(3-4), pages 323-338, November.
    20. Kramer, Walter & Ploberger, Werner & Alt, Raimund, 1988. "Testing for Structural Change in Dynamic Models," Econometrica, Econometric Society, vol. 56(6), pages 1355-1369, November.
    21. Sandmo, Agnar, 2005. "The Theory of Tax Evasion: A Retrospective View," National Tax Journal, National Tax Association;National Tax Journal, vol. 58(4), pages 643-663, December.
    22. Ortega, Daniel & Sanguinetti, Pablo, 2013. "Deterrence and reciprocity effects on tax compliance: experimental evidence from Venezuela," Research Department working papers 253, CAF Development Bank Of Latinamerica.
    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. Dina Pomeranz & José Vila-Belda, 2019. "Taking State-Capacity Research to the Field: Insights from Collaborations with Tax Authorities," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 755-781, August.
    2. Kristina M. Bott & Alexander W. Cappelen & Erik Ø. Sørensen & Bertil Tungodden, 2020. "You’ve Got Mail: A Randomized Field Experiment on Tax Evasion," Management Science, INFORMS, vol. 66(7), pages 2801-2819, July.
    3. Hallsworth, Michael & List, John A. & Metcalfe, Robert D. & Vlaev, Ivo, 2017. "The behavioralist as tax collector: Using natural field experiments to enhance tax compliance," Journal of Public Economics, Elsevier, vol. 148(C), pages 14-31.
    4. Eric Floyd & Michael Hallsworth & John List & Robert Metcalfe & Kristian Rotaru & Ivo Vlaev, 2022. "What motivates people to pay their taxes? Evidence from four experiments on tax compliance," Natural Field Experiments 00750, The Field Experiments Website.
    5. James Alm & Matthias Kasper, 2020. "Laboratory Experiments," Working Papers 2008, Tulane University, Department of Economics.
    6. James Alm, 2019. "What Motivates Tax Compliance?," Journal of Economic Surveys, Wiley Blackwell, vol. 33(2), pages 353-388, April.
    7. Stefanos A. Tsikas, 2020. "Enforce taxes, but cautiously: societal implications of the slippery slope framework," European Journal of Law and Economics, Springer, vol. 50(1), pages 149-170, August.
    8. Fjeldstad, Odd-Helge & Kagoma, Cecilia & Mdee, Ephraim & Sjursen, Ingrid Hoem & Somville, Vincent, 2020. "The customer is king: Evidence on VAT compliance in Tanzania," World Development, Elsevier, vol. 128(C).
    9. Cyril Chalendard, 2015. "Use of internal information, external information acquisition and customs underreporting," Working Papers halshs-01179445, HAL.
    10. Christopher J. Neely & David E. Rapach, 2008. "Real interest rate persistence: evidence and implications," Review, Federal Reserve Bank of St. Louis, vol. 90(Nov), pages 609-642.
    11. Biddle, Nicholas & Fels, Katja M. & Sinning, Mathias, 2018. "Behavioral insights on business taxation: Evidence from two natural field experiments," Journal of Behavioral and Experimental Finance, Elsevier, vol. 18(C), pages 30-49.
    12. Christopher Hoy & Luke McKenzie & Mathias Sinning, 2024. "Improving Tax Compliance without Increasing Revenue: Evidence from Population-Wide Randomized Controlled Trials in Papua New Guinea," Economic Development and Cultural Change, University of Chicago Press, vol. 72(2), pages 691-723.
    13. Biddle, Nicholas & Fels, Katja & Sinning, Mathias, 2017. "Behavioral insights and business taxation: Evidence from two randomized controlled trials," Ruhr Economic Papers 698, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    14. Lopez-Luzuriaga, Andrea & Scartascini, Carlos, 2019. "Compliance spillovers across taxes: The role of penalties and detection," Journal of Economic Behavior & Organization, Elsevier, vol. 164(C), pages 518-534.
    15. James Alm & Yongzheng Liu & Kewei Zhang, 2019. "Financial constraints and firm tax evasion," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 26(1), pages 71-102, February.
    16. Cyril Chalendard, 2015. "Use of internal information, external information acquisition and customs underreporting," CERDI Working papers halshs-01179445, HAL.
    17. Arun Advani & William Elming & Jonathan Shaw, 2023. "The Dynamic Effects of Tax Audits," The Review of Economics and Statistics, MIT Press, vol. 105(3), pages 545-561, May.
    18. Brittle, Shane, 2009. "Ricardian Equivalence and the Efficacy of Fiscal Policy in Australia," Economics Working Papers wp09-10, School of Economics, University of Wollongong, NSW, Australia.
    19. Sylvain Leduc & Daniel Wilson, 2013. "Roads to Prosperity or Bridges to Nowhere? Theory and Evidence on the Impact of Public Infrastructure Investment," NBER Macroeconomics Annual, University of Chicago Press, vol. 27(1), pages 89-142.
    20. Henrik Jacobsen Kleven & Claus Thustrup Kreiner & Emmanuel Saez, 2016. "Why Can Modern Governments Tax So Much? An Agency Model of Firms as Fiscal Intermediaries," Economica, London School of Economics and Political Science, vol. 83(330), pages 219-246, April.

    More about this item

    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:ecr:col070:46588. 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: Biblioteca CEPAL (email available below). General contact details of provider: https://edirc.repec.org/data/eclaccl.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.