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Reaching Inflation Stability

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  • Antonio Moreno

Abstract

Inflation volatility has significantly declined over the last 20 years in the U.S. To find out why, I follow a structural approach. I estimate a complete New Keynesian model which imposes cross-equation restrictions on the time series of inflation, the output gap and the interest rate. I perform counterfactual analysis with two commonly used measures of inflation: Consumer Price Index (CPI) and Gross Domestic Product Deflator (GDPD). While the change in the propagation mechanism of the economy induced most of the CPI volatility drop, it played a smaller role in the reduction of GDPD volatility. Our maximum likelihood estimates imply that the most important factor behind the drop in inflation volatility was the more forward-looking price setting behavior of the 80s and 90s

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  • Antonio Moreno, 2004. "Reaching Inflation Stability," Econometric Society 2004 North American Summer Meetings 269, Econometric Society.
  • Handle: RePEc:ecm:nasm04:269
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    Cited by:

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    2. Antonio Moreno, 2004. "The Feds Monetary Policy Rule: Past, Present and Future," Faculty Working Papers 02/04, School of Economics and Business Administration, University of Navarra.
    3. Miguel Casares & Antonio Moreno & Jesús Vázquez, 2012. "Wage stickiness and unemployment fluctuations: an alternative approach," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 3(3), pages 395-422, September.
    4. López-Espinosa, Germán & Moreno, Antonio & Pérez de Gracia, Fernando, 2011. "Banks' Net Interest Margin in the 2000s: A Macro-Accounting international perspective," Journal of International Money and Finance, Elsevier, vol. 30(6), pages 1214-1233, October.
    5. Biscarri, Javier Gómez & Moreno, Antonio & Gracia, Fernando Pérez de, 2010. "Money demand accommodation: Impact on macro-dynamics and policy consequences," Journal of Policy Modeling, Elsevier, vol. 32(1), pages 138-154, January.
    6. Miguel Casares, 2006. "A close look at model-dependent monetary policy design," Review, Federal Reserve Bank of St. Louis, vol. 88(Sep), pages 451-470.
    7. Pavon-Prado, David, 2019. "Have we been measuring monetary policy correctly? Analysing the Federal Reserve’s policies over the last century," IFCS - Working Papers in Economic History.WH 28342, Universidad Carlos III de Madrid. Instituto Figuerola.
    8. Baele, Lieven & Bekaert, Geert & Cho, Seonghoon & Inghelbrecht, Koen & Moreno, Antonio, 2015. "Macroeconomic regimes," Journal of Monetary Economics, Elsevier, vol. 70(C), pages 51-71.
    9. de Mello, Luiz & Moccero, Diego, 2011. "Monetary policy and macroeconomic stability in Latin America: The cases of Brazil, Chile, Colombia and Mexico," Journal of International Money and Finance, Elsevier, vol. 30(1), pages 229-245, February.
    10. Luckas Sabioni Lopes & Marcelle Chauvet & João Eustáquio Lima, 2018. "The end of Brazilian big inflation: lessons to monetary policy from a standard New Keynesian model," Empirical Economics, Springer, vol. 55(4), pages 1475-1505, December.
    11. Luis Gil-Alana & Antonio Moreno, 2012. "Fractional integration and structural breaks in U.S. macro dynamics," Empirical Economics, Springer, vol. 43(1), pages 427-446, August.
    12. Edward N. Gamber & Julie K. Smith & Matthew Weiss, 2008. "Forecast Errors Before and After the Great Moderation," Working Papers 2008-001, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting, revised Mar 2009.
    13. Hanson, Michael S., 2006. "Varying monetary policy regimes: A vector autoregressive investigation," Journal of Economics and Business, Elsevier, vol. 58(5-6), pages 407-427.
    14. Lorna Katusiime, 2018. "Private Sector Credit and Inflation Volatility," Economies, MDPI, Open Access Journal, vol. 6(2), pages 1-13, April.
    15. Moreno Antonio & Rey Luis, 2006. "Inflation Targeting in Western Europe," The B.E. Journal of Macroeconomics, De Gruyter, vol. 6(2), pages 1-32, August.
    16. Glenn D. Rudebusch & Tao Wu, 2007. "Accounting for a Shift in Term Structure Behavior with No-Arbitrage and Macro-Finance Models," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(2-3), pages 395-422, March.
    17. Glenn D. Rudebusch & Tao Wu, 2004. "The recent shift in term structure behavior from a no-arbitrage macro-finance perspective," Working Paper Series 2004-25, Federal Reserve Bank of San Francisco.
    18. Martin S. Eichenbaum & Jonas D. M. Fisher, 2003. "Evaluating the Calvo model of sticky prices," Working Paper Series WP-03-23, Federal Reserve Bank of Chicago.
    19. Luiz de Mello & Diego Moccero, 2006. "Consolidating Macroeconomic Adjustment in Brazil," OECD Economics Department Working Papers 531, OECD Publishing.

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    More about this item

    Keywords

    Inflation Volatility; Structural Model; Monetary Policy Rule;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C62 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Existence and Stability Conditions of Equilibrium
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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