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Evaluating the cost of government credit support: the Oecd context
[Existence of an equilibrium for a competitive economy]

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  • Deborah Lucas

Abstract

Governments throughout the OECD allocate a large share of societies' capital and risk through their credit-related activities. Hence, accurate cost estimates for credit support programmes are a prerequisite for efficient resource allocation, transparency, effective management and public oversight. I find that OECD governments generally take their cost of capital to be their own borrowing rate, rather than using a weighted-average cost of capital that includes the cost of risk borne by taxpayers and the general public in their role as equity holders. That practice, which is institutionalised in government accounting and budgetary rules, results in cost estimates for credit support that are significantly downwardly biased relative to a fair-value metric that recognises the full cost of risk. The size and possible real consequences of those distortions are illustrated with analyses of the European Bank for Reconstruction and Development, the European Stability Mechanism and the Tennessee Valley Authority.— Deborah Lucas

Suggested Citation

  • Deborah Lucas, 2014. "Evaluating the cost of government credit support: the Oecd context [Existence of an equilibrium for a competitive economy]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 29(79), pages 553-597.
  • Handle: RePEc:oup:ecpoli:v:29:y:2014:i:79:p:553-597.
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    File URL: http://hdl.handle.net/10.1111/1468-0327.12034
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    Cited by:

    1. Deborah Lucas & Jorge Jimenez Montesinos, 2020. "A Fair Value Approach to Valuing Public Infrastructure Projects and the Risk Transfer in Public-Private Partnerships," NBER Chapters, in: Economic Analysis and Infrastructure Investment, pages 369-402, National Bureau of Economic Research, Inc.
    2. Elva Bova & Marta Ruiz-Arranz & Frederik Giancarlo Toscani & Hatice Elif Ture, 2019. "The impact of contingent liability realizations on public finances," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 26(2), pages 381-417, April.
    3. Ms. Elva Bova & Marta Ruiz-Arranz & Mr. Frederik G Toscani & H. Elif Ture, 2016. "The Fiscal Costs of Contingent Liabilities: A New Dataset," IMF Working Papers 2016/014, International Monetary Fund.
    4. Marvin Phaup, 2022. "Federal budget process reform: An economics perspective, with imperfect, “Human” decision‐makers," Public Budgeting & Finance, Wiley Blackwell, vol. 42(3), pages 114-130, September.
    5. Liu, Xia (Summer) & Megginson, William L. & Xia, Junjie, 2022. "Industrial policy and asset prices: Evidence from the Made in China 2025 policy," Journal of Banking & Finance, Elsevier, vol. 142(C).

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