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Transmission Lags and Optimal Monetary Policy

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  • Alessandro Flamini

    () (Department of Economics, University of Pavia)

Abstract

Real world monetary policy is complicated by long and variable lags in the transmission of the policy to the economy. Most of the policy models, however, abstracts from policy lags. This paper presents a model where transmission lags depend on the behaviour of a two-sector supply side of the economy and focuses on how lag length and variability affect optimal monetary policy. The paper shows that optimal monetary policy should respond more to the sector with the shortest transmission lag and that the presence of production links among sectors amplifies this response. Furthermore, the shorter or more variable the aggregate transmission lag, the more active the overall policy and the larger the response to the sector with the shortest transmission lag. Finally, the relative strength of the response to inflation and output gap depends on the intensity of the sectoral production links, and on the length of the transmission lags. Only with reasonable production links should the optimal policy respond more to in?ation than to the output gap in line with the empirical evidence.

Suggested Citation

  • Alessandro Flamini, 2012. "Transmission Lags and Optimal Monetary Policy," Quaderni di Dipartimento 166, University of Pavia, Department of Economics and Quantitative Methods.
  • Handle: RePEc:pav:wpaper:166
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    File URL: http://economia.unipv.it/docs/dipeco/quad/ps/RePEc/pav/wpaper/q166.pdf
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    References listed on IDEAS

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    1. Gramlich, Edward M, 1994. "Infrastructure Investment: A Review Essay," Journal of Economic Literature, American Economic Association, vol. 32(3), pages 1176-1196, September.
    2. Giorgia Giovannetti & Hossein Samiei, 1995. "Hysteresis in Exports," IMF Working Papers 95/52, International Monetary Fund.
    3. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Publishing House "SINERGIA PRESS", pages 112-134.
    4. Rosenthal, Stuart S. & Strange, William C., 2001. "The Determinants of Agglomeration," Journal of Urban Economics, Elsevier, vol. 50(2), pages 191-229, September.
    5. Marco Percoco, 2010. "Airport Activity and Local Development: Evidence from Italy," Urban Studies, Urban Studies Journal Limited, vol. 47(11), pages 2427-2443, October.
    6. Accetturo Antonio & Giunta Anna & Rossi Salvatore, 2011. "The Italian Firms between Crisis and the new Globalization," L'industria, Società editrice il Mulino, issue 1, pages 145-164.
    7. Krugman, Paul, 1991. "Increasing Returns and Economic Geography," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 483-499, June.
    8. Jeffrey A. Frankel, 1998. "The Regionalization of the World Economy," NBER Books, National Bureau of Economic Research, Inc, number fran98-1, January.
    9. Klaassen, Franc, 2004. "Why is it so difficult to find an effect of exchange rate risk on trade?," Journal of International Money and Finance, Elsevier, vol. 23(5), pages 817-839, September.
    10. Lee, Jim, 2011. "Export specialization and economic growth around the world," Economic Systems, Elsevier, vol. 35(1), pages 45-63, March.
    11. Rose, Andrew K., 1990. "Exchange rates and the trade balance : Some evidence from developing countries," Economics Letters, Elsevier, vol. 34(3), pages 271-275, November.
    12. Jeffrey Frankel & Andrew Rose, 2002. "An Estimate of the Effect of Common Currencies on Trade and Income," The Quarterly Journal of Economics, Oxford University Press, vol. 117(2), pages 437-466.
    13. Aschauer, David Alan, 1989. "Is public expenditure productive?," Journal of Monetary Economics, Elsevier, vol. 23(2), pages 177-200, March.
    14. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    15. Martin, Philippe & Rogers, Carol Ann, 1995. "Industrial location and public infrastructure," Journal of International Economics, Elsevier, pages 335-351.
    16. N. Kulendran & Kenneth Wilson, 2000. "Is there a relationship between international trade and international travel?," Applied Economics, Taylor & Francis Journals, vol. 32(8), pages 1001-1009.
    17. Morrison, Catherine J & Schwartz, Amy Ellen, 1996. "State Infrastructure and Productive Performance," American Economic Review, American Economic Association, vol. 86(5), pages 1095-1111, December.
    18. Feenstra, Robert & Kee, Hiau Looi, 2008. "Export variety and country productivity: Estimating the monopolistic competition model with endogenous productivity," Journal of International Economics, Elsevier, vol. 74(2), pages 500-518, March.
    19. Keith Head & John Ries, 2010. "Do trade missions increase trade?," Canadian Journal of Economics, Canadian Economics Association, vol. 43(3), pages 754-775, August.
    20. Di Berardino Claudio & Mauro Giuseppe, 2010. "Industrial Districts in Italy between Change and Crisis. A Comparative Analysis at Provincial Level," L'industria, Società editrice il Mulino, issue 3, pages 533-548.
    21. Cristea, Anca D., 2011. "Buyer-seller relationships in international trade: Evidence from U.S. States' exports and business-class travel," Journal of International Economics, Elsevier, vol. 84(2), pages 207-220, July.
    22. Joachim Jarreau & Sandra Poncet, 2009. "Export Sophistication and Economic Performance: Evidence from Chinese Provinces," Working Papers 2009-34, CEPII research center.
    23. Kristopher S. Gerardi & Adam Hale Shapiro, 2009. "Does Competition Reduce Price Dispersion? New Evidence from the Airline Industry," Journal of Political Economy, University of Chicago Press, vol. 117(1), pages 1-37, February.
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    More about this item

    Keywords

    Inflation targeting; monetary policy transmission mechanism; policy transmission lags; multiplicative uncertainty; Markov jump linear quadratic systems; optimal monetary policy.;

    JEL classification:

    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics

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