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Monetary regime change and business cycles

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  • Vasco Curdia
  • Daria Finocchiaro

Abstract

This paper analyzes how changes in monetary policy regimes influence the business cycle in a small open economy. We estimate a dynamic stochastic general equilibrium (DSGE) model on Swedish data, explicitly taking into account the 1993 monetary regime change, from exchange rate targeting to inflation targeting. The results confirm that monetary policy reacted primarily to exchange rate movements in the target zone and to inflation in the inflation-targeting regime. Devaluation expectations were the principal source of volatility in the target zone period. In the inflation-targeting period, labor supply and preference shocks have become relatively more important.

Suggested Citation

  • Vasco Curdia & Daria Finocchiaro, 2007. "Monetary regime change and business cycles," Staff Reports 294, Federal Reserve Bank of New York.
  • Handle: RePEc:fip:fednsr:294
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    Cited by:

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    2. Carvalho, Carlos Viana de & Vilela, André D., 2015. "What lf Brazil Hadn't Floated the Real in 1999?," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 35(2), March.
    3. Cristina Fuentes‐Albero, 2019. "Financial Frictions, Financial Shocks, and Aggregate Volatility," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(6), pages 1581-1621, September.
    4. CHAFIK, Omar, 2019. "Monetary policy in oil exporting countries with fixed exchange rate and open capital account: expectations matter," MPRA Paper 92558, University Library of Munich, Germany.
    5. Kevin C. Chua, 2018. "A Model Of Inflation Transmission In An Exchange Rate Target Zone," Bulletin of Economic Research, Wiley Blackwell, vol. 70(3), pages 285-297, July.
    6. Michael Cheng & Wai-Yip Alex Ho, 2009. "A Structural Investigation into the Price and Wage Dynamics in Hong Kong," Working Papers 0920, Hong Kong Monetary Authority.
    7. Sangaré, Ibrahima, 2016. "External shocks and exchange rate regimes in Southeast Asia: A DSGE analysis," Economic Modelling, Elsevier, vol. 58(C), pages 365-382.
    8. Choi, Jinho & Hur, Joonyoung, 2015. "An examination of macroeconomic fluctuations in Korea exploiting a Markov-switching DSGE approach," Economic Modelling, Elsevier, vol. 51(C), pages 183-199.
    9. Hollmayr, Josef & Matthes, Christian, 2015. "Tales of transition paths: Policy uncertainty and random walks," Discussion Papers 14/2015, Deutsche Bundesbank.
    10. Yağcıbaşı Özge Filiz & Yıldırım Mustafa Ozan, 2017. "Welfare Implications of Alternative Monetary Policy Rules: A New Keynesian DSGE Model for Turkey," Review of Economic Perspectives, Sciendo, vol. 17(4), pages 363-379, December.
    11. Burgess, Stephen & Fernandez-Corugedo, Emilio & Groth, Charlotta & Harrison, Richard & Monti, Francesca & Theodoridis, Konstantinos & Waldron, Matt, 2013. "The Bank of England's forecasting platform: COMPASS, MAPS, EASE and the suite of models," Bank of England working papers 471, Bank of England.
    12. Renato Faccini & Stephen Millard & Francesco Zanetti, 2013. "Wage Rigidities in an Estimated Dynamic, Stochastic, General Equilibrium Model of the UK Labour Market," Manchester School, University of Manchester, vol. 81, pages 66-99, September.

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    More about this item

    Keywords

    Business cycles; Monetary policy; Foreign exchange rates; Inflation (Finance); Equilibrium (Economics); Stochastic analysis; Econometric models;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General
    • F40 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - General

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