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Monetary Regime Change and Business Cycles

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Abstract

This paper proposes a simple method to structurally estimate a model over a period of time containing a regime shift. It then evaluates to which degree it is relevant to explicitly acknowledge the break in the estimation procedure. We apply our method on Swedish data, and estimate a DSGE model explicitly taking into account the monetary regime change in 1993, from exchange rate targeting to inflation targeting. We show that ignoring the break in the estimation leads to spurious estimates of model parameters including parameters in both policy and non-policy economic relations. Accounting for the regime change suggests that monetary policy reacted strongly to exchange rate movements in the first regime, and mostly to inflation in the second. The sources of business cycle fluctuations and their transmission mechanism are significantly affected by the exchange rate regime.

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  • Vasco Curdia & Daria Finocchiaro, 2012. "Monetary Regime Change and Business Cycles," Working Paper Series 2013-02, Federal Reserve Bank of San Francisco.
  • Handle: RePEc:fip:fedfwp:2013-02
    DOI: 10.24148/wp2013-02
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    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. Omar Chafik, 2023. "Monetary Policy in Oil Exporting Countries with Fixed Exchange Rate and Open Capital Account: Expectations Matter," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 19(1), pages 1-22, March.
    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. Christoph Gortz & Christopher Gunn & Thomas Lubik, 2022. "Split Personalities: The Changing Nature of Technology Shocks," Carleton Economic Papers 22-06, Carleton University, Department of Economics.
    11. 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.
    12. 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.
    13. 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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    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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