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Estimating Tax Agency Efficiency

Listed author(s):
  • James Alm

    ()

    (Department of Economics, Tulane University)

  • Denvil Duncan

    ()

    (School of Public and Environmental Affairs, Indiana University-Bloomington)

Empirical work on a tax agency's production process has been plagued by the absence of comparable tax administrative data across countries and years. Such data are now available from the Organisation of Economic Co-operation and Development. This paper uses these data for the years 2007 to 2011, together with an estimation strategy that utilizes data envelopment analysis and stochastic frontier analysis, to determine the relative efficiency of tax agencies in their use of inputs. Overall, the average efficiency scores indicate that countries should be able to collect their current level of revenues with approximately 10 to 16 percent less inputs.

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File URL: http://econ.tulane.edu/RePEc/pdf/tul1404.pdf
File Function: First Version, March 2014
Download Restriction: no

Paper provided by Tulane University, Department of Economics in its series Working Papers with number 1404.

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Date of creation: Mar 2014
Handle: RePEc:tul:wpaper:1404
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Web page: http://econ.tulane.edu

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  1. Glenn Rayp & Nicolas Van De Sijpe, 2007. "Measuring and explaining government efficiency in developing countries," Journal of Development Studies, Taylor & Francis Journals, vol. 43(2), pages 360-381.
  2. Antonis Adam & Manthos Delis & Pantelis Kammas, 2011. "Public sector efficiency: leveling the playing field between OECD countries," Public Choice, Springer, vol. 146(1), pages 163-183, January.
  3. Joshua Aizenman & Yothin Jinjarak, 2008. "The collection efficiency of the Value Added Tax: Theory and international evidence," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 17(3), pages 391-410.
  4. Cook, Wade D. & Seiford, Larry M., 2009. "Data envelopment analysis (DEA) - Thirty years on," European Journal of Operational Research, Elsevier, vol. 192(1), pages 1-17, January.
  5. H. Fried & C. Lovell & S. Schmidt & S. Yaisawarng, 2002. "Accounting for Environmental Effects and Statistical Noise in Data Envelopment Analysis," Journal of Productivity Analysis, Springer, vol. 17(1), pages 157-174, January.
  6. Balaguer-Coll, Maria Teresa & Prior, Diego & Tortosa-Ausina, Emili, 2007. "On the determinants of local government performance: A two-stage nonparametric approach," European Economic Review, Elsevier, vol. 51(2), pages 425-451, February.
  7. Leslie Robinson & Joel Slemrod, 2012. "Understanding multidimensional tax systems," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 19(2), pages 237-267, April.
  8. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
  9. Bird, Richard M. & Martinez-Vazquez, Jorge & Torgler, Benno, 2008. "Tax Effort in Developing Countries and High Income Countries: The Impact of Corruption, Voice and Accountability," Economic Analysis and Policy, Elsevier, vol. 38(1), pages 55-71, March.
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