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Risk aversion as a technology factor in the production function

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  • David Black
  • Michael Dowd

Abstract

We incorporate risk aversion into the technology component of the production function. In a traditional theoretic framework, we show that an increase in risk aversion increases unemployment and reduces potential output. Our out-of-sample forecasting experiments suggest that while interest rates impact the economy through the demand-side. However, an interest rate spread (TED) is used as a measure of risk aversion and is shown to impact output through the economy's supply-side.

Suggested Citation

  • David Black & Michael Dowd, 2011. "Risk aversion as a technology factor in the production function," Applied Financial Economics, Taylor & Francis Journals, vol. 21(18), pages 1345-1354.
    • Handle: RePEc:taf:apfiec:v:21:y:2011:i:18:p:1345-1354
    DOI: 10.1080/09603107.2011.572846
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    References listed on IDEAS

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    1. Nourzad, Farrokh, 2002. "Real money balances and production efficiency: a panel-data stochastic production frontier study," Journal of Macroeconomics, Elsevier, vol. 24(1), pages 125-134, March.
    2. Claudio Borio & Craig Furfine & Philip Lowe, 2001. "Procyclicality of the financial system and financial stability: issues and policy options," BIS Papers chapters, in: Bank for International Settlements (ed.), Marrying the macro- and micro-prudential dimensions of financial stability, volume 1, pages 1-57, Bank for International Settlements.
    3. Gertler, Mark & Lown, Cara S, 1999. "The Information in the High-Yield Bond Spread for the Business Cycle: Evidence and Some Implications," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 15(3), pages 132-150, Autumn.
    4. Friedman, Benjamin M. & Kuttner, Kenneth N., 1993. "Another look at the evidence on money-income causality," Journal of Econometrics, Elsevier, vol. 57(1-3), pages 189-203.
    5. McCallum, Bennett T & Nelson, Edward, 1999. "An Optimizing IS-LM Specification for Monetary Policy and Business Cycle Analysis," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 31(3), pages 296-316, August.
    6. James H. Stock & Mark W.Watson, 2003. "Forecasting Output and Inflation: The Role of Asset Prices," Journal of Economic Literature, American Economic Association, vol. 41(3), pages 788-829, September.
    7. Sinai, Allen & Stokes, Houston H, 1972. "Real Money Balances: An Omitted Variable from the Production Functions?," The Review of Economics and Statistics, MIT Press, vol. 54(3), pages 290-296, August.
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    Cited by:

    1. Jonathan Benchimol, 2012. "Risk Aversion in the Euro area," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00713669, HAL.
    2. Benchimol, Jonathan, 2014. "Risk aversion in the Eurozone," Research in Economics, Elsevier, vol. 68(1), pages 39-56.

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