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Macroeconomics and ARCH

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  • James D. Hamilton

Abstract

Although ARCH-related models have proven quite popular in finance, they are less frequently used in macroeconomic applications. In part this may be because macroeconomists are usually more concerned about characterizing the conditional mean rather than the conditional variance of a time series. This paper argues that even if one's interest is in the conditional mean, correctly modeling the conditional variance can still be quite important, for two reasons. First, OLS standard errors can be quite misleading, with a "spurious regression" possibility in which a true null hypothesis is asymptotically rejected with probability one. Second, the inference about the conditional mean can be inappropriately influenced by outliers and high-variance episodes if one has not incorporated the conditional variance directly into the estimation of the mean, and infinite relative efficiency gains may be possible. The practical relevance of these concerns is illustrated with two empirical examples from the macroeconomics literature, the first looking at market expectations of future changes in Federal Reserve policy, and the second looking at changes over time in the Fed's adherence to a Taylor Rule.

Suggested Citation

  • James D. Hamilton, 2008. "Macroeconomics and ARCH," NBER Working Papers 14151, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:14151
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    Cited by:

    1. Grydaki, Maria & Bezemer, Dirk, 2013. "The role of credit in the Great Moderation: A multivariate GARCH approach," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4615-4626.
    2. Jesus Fernandez-Villaverde & Pablo Guerron-Quintana & Juan F. Rubio-Ramirez & Martin Uribe, 2011. "Risk Matters: The Real Effects of Volatility Shocks," American Economic Review, American Economic Association, vol. 101(6), pages 2530-2561, October.
    3. Bretschger, Lucas & Kappel, Vivien & Werner, Therese, 2012. "Market concentration and the likelihood of financial crises," Journal of Banking & Finance, Elsevier, vol. 36(12), pages 3336-3345.
    4. Berger, Tino & Everaert, Gerdie & Vierke, Hauke, 2016. "Testing for time variation in an unobserved components model for the U.S. economy," Journal of Economic Dynamics and Control, Elsevier, vol. 69(C), pages 179-208.
    5. Amélie Charles & Olivier Darné & Laurent Ferrara, 2014. "Does the Great Recession imply the end of the Great Moderation? International evidence," EconomiX Working Papers 2014-21, University of Paris Nanterre, EconomiX.
    6. Bezemer, Dirk J & Grydaki, Maria, 2012. "Mortgage Lending and the Great moderation: a multivariate GARCH Approach," MPRA Paper 36356, University Library of Munich, Germany.
    7. Jones, Paul M. & Olson, Eric, 2013. "The time-varying correlation between uncertainty, output, and inflation: Evidence from a DCC-GARCH model," Economics Letters, Elsevier, vol. 118(1), pages 33-37.
    8. Oreste Tristani & Gianni Amisano, 2010. "A nonlinear DSGE model of the term structure with regime shifts," 2010 Meeting Papers 234, Society for Economic Dynamics.
    9. Amna Nazeer & Wu Jun & Khuram Shafi & Liu Yan Yan, 2015. "Fluctuation of Yuan/Dollar: Time Series Co Integration Analysis," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 5(1), pages 317-326, January.
    10. Amélie Charles & Olivier Darné & Laurent Ferrara, 2018. "Does the Great Recession imply the end of the Great Moderation? International evidence," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01757081, HAL.
    11. Alagidede, Paul & Panagiotidis, Theodore, 2012. "Stock returns and inflation: Evidence from quantile regressions," Economics Letters, Elsevier, vol. 117(1), pages 283-286.
    12. Barrera, Carlos, 2010. "¿Respuesta asimétrica de precios domésticos de combustibles ante choques en el WTI?," Working Papers 2010-016, Banco Central de Reserva del Perú.
    13. Grydaki, Maria & Bezemer, Dirk J., 2012. "The Role of Credit in Great Moderation: a Multivariate GARCH Approach," MPRA Paper 39813, University Library of Munich, Germany.
    14. Dennis, Wesselbaum, 2012. "Stochastic Volatility in the U.S. Labor Market," MPRA Paper 43054, University Library of Munich, Germany.
    15. Nunley, John & Zietz, Joachim, 2008. "The U.S. Divorce Rate: The 1960s Surge Versus Its Long-Run Determinants," MPRA Paper 16317, University Library of Munich, Germany, revised Dec 2008.
    16. Barrera, Carlos R., 2011. "Impacto amplificador del ajuste de inventarios ante choques de demanda según especificaciones flexibles," Working Papers 2011-009, Banco Central de Reserva del Perú.

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    JEL classification:

    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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