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Revenue Forecasting—How is it done? Results from a Survey of Low-Income Countries

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  • Ms. Annette J Kyobe
  • Mr. Stephan Danninger

Abstract

This paper takes stock of revenue forecasting practices in low-income countries, and provides a comprehensive and condensed account of the revenue forecasting process. Based on a new dataset on 34 low-income countries, it catalogues forecasting practices and procedures from inception until budget submission, focusing primarily on institutional aspects and processes. The paper also synthesizes three key characteristics of forecasting practices, formality, organizational simplicity, and transparency, and empirically explores their determinants. High levels of country corruption are associated with less formal and less transparent forecasts. Past IMF involvement in a country increases the formality of the process, but does not improve public access to information.

Suggested Citation

  • Ms. Annette J Kyobe & Mr. Stephan Danninger, 2005. "Revenue Forecasting—How is it done? Results from a Survey of Low-Income Countries," IMF Working Papers 2005/024, International Monetary Fund.
    • Handle: RePEc:imf:imfwpa:2005/024
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    References listed on IDEAS

    as
    1. Mr. Stephan Danninger & Ms. Annette J Kyobe & Mr. M. Cangiano, 2005. "The Political Economy of Revenue-Forecasting Experience From Low-Income Countries," IMF Working Papers 2005/002, International Monetary Fund.
    2. Mr. Mikhail Golosov & Mr. John R King, 2002. "Tax Revenue Forecasts in IMF-Supported Programs," IMF Working Papers 2002/236, International Monetary Fund.
    3. Mr. Ian Lienert & Mr. Feridoun Sarraf, 2001. "Systemic Weaknesses of Budget Management in Anglophone Africa," IMF Working Papers 2001/211, International Monetary Fund.
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    Cited by:

    1. Thiess Buettner & Bjoern Kauder, 2015. "Political biases despite external expert participation? An empirical analysis of tax revenue forecasts in Germany," Public Choice, Springer, vol. 164(3), pages 287-307, September.
    2. Björn Kauder & Niklas Potrafke & Christoph Schinke, 2017. "Manipulating Fiscal Forecasts: Evidence from the German States," FinanzArchiv: Public Finance Analysis, Mohr Siebeck, Tübingen, vol. 73(2), pages 213-236, June.
    3. Beate Jochimsen & Robert Lehmann, 2017. "On the political economy of national tax revenue forecasts: evidence from OECD countries," Public Choice, Springer, vol. 170(3), pages 211-230, March.
    4. Gerencia de Riesgo Asobancaria, 2011. "Estimación de la Carga Financiera en Colombia," Temas de Estabilidad Financiera 056, Banco de la Republica de Colombia.
    5. Frank Bohn, 2019. "Political budget cycles, incumbency advantage, and propaganda," Economics and Politics, Wiley Blackwell, vol. 31(1), pages 43-70, March.
    6. Stanislav Klazar, 2006. "Tax Revenue Prediction under Condition of Imperfect Control over Tax-Collecting Authority [Predikce daňových příjmů v podmínkách nedokonalé kontroly daňových úřadů]," Acta Oeconomica Pragensia, Prague University of Economics and Business, vol. 2006(3), pages 48-62.
    7. Beate Jochimsen & Robert Lehmann, 2017. "On the political economy of national tax revenue forecasts: evidence from OECD countries," Public Choice, Springer, vol. 170(3), pages 211-230, March.
    8. Sabaj, Ernil & Kahveci, Mustafa, 2018. "Forecasting tax revenues in an emerging economy: The case of Albania," MPRA Paper 84404, University Library of Munich, Germany.
    9. T. P. Koirala Ph.D., 2012. "Government Revenue Forecasting in Nepal," NRB Economic Review, Nepal Rastra Bank, Research Department, vol. 24(2), pages 47-60, October.
    10. Mr. Stephan Danninger & Ms. Annette J Kyobe & Mr. M. Cangiano, 2005. "The Political Economy of Revenue-Forecasting Experience From Low-Income Countries," IMF Working Papers 2005/002, International Monetary Fund.
    11. T. P. Koirala, Ph.D., 2012. "Government Revenue Forecasting in Nepal," NRB Economic Review, Nepal Rastra Bank, Economic Research Department, vol. 24(2), pages 47-60, October.

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