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Supply, demand and monetary policy shocks in a multi-country New Keynesian Model

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  • Dées, Stéphane
  • Pesaran, Hashem
  • Smith, Vanessa
  • Smith, Ron P.

Abstract

This paper estimates and solves a multi-country version of the standard DSGE New Keynesian (NK) model. The country-specific models include a Phillips curve determining inflation, an IS curve determining output, a Taylor Rule determining interest rates, and a real effective exchange rate equation. The IS equation includes a real exchange rate variable and a countryspecific foreign output variable to capture direct inter-country linkages. In accord with the theory all variables are measured as deviations from their steady states, which are estimated as long-horizon forecasts from a reduced-form cointegrating global vector autoregression. The resulting rational expectations model is then estimated for 33 countries on data for 1980Q1-2006Q4, by inequality constrained IV, using lagged and contemporaneous foreign variables as instruments, subject to the restrictions implied by the NK theory. The multi-country DSGE NK model is then solved to provide estimates of identified supply, demand and monetary policy shocks. Following the literature, we assume that the within country supply, demand and monetary policy shocks are orthogonal, though shocks of the same type (e.g. supply shocks in different countries) can be correlated. We discuss estimation of impulse response functions and variance decompositions in such large systems, and present estimates allowing for both direct channels of international transmission through regression coefficients and indirect channels through error spillover effects. Bootstrapped error bands are also provided for the cross country responses of a shock to the US monetary policy. JEL Classification: C32, E17, F37, F42

Suggested Citation

  • Dées, Stéphane & Pesaran, Hashem & Smith, Vanessa & Smith, Ron P., 2010. "Supply, demand and monetary policy shocks in a multi-country New Keynesian Model," Working Paper Series 1239, European Central Bank.
  • Handle: RePEc:ecb:ecbwps:20101239
    Note: 2544114
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    References listed on IDEAS

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    Cited by:

    1. Georgiadis, Georgios, 2016. "Determinants of global spillovers from US monetary policy," Journal of International Money and Finance, Elsevier, vol. 67(C), pages 41-61.
    2. Claudio Morana, 2014. "Factor Vector Autoregressive Estimation of Heteroskedastic Persistent and Non Persistent Processes Subject to Structural Breaks," Working Papers 273, University of Milano-Bicocca, Department of Economics, revised May 2014.
    3. Eickmeier, Sandra & Ng, Tim, 2015. "How do US credit supply shocks propagate internationally? A GVAR approach," European Economic Review, Elsevier, vol. 74(C), pages 128-145.
    4. Bussiere Matthieu & Chudik Alexander & Mehl Arnaud, 2013. "How have global shocks impacted the real effective exchange rates of individual euro area countries since the euro’s creation?," The B.E. Journal of Macroeconomics, De Gruyter, vol. 13(1), pages 1-48, April.
    5. Alessandro Rebucci & Ambrogio Cesa-Bianchi & M. Hashem Pesaran & TengTeng Xu, 2012. "China's Emergence in the World Economy and Business Cycles in Latin America," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Spring 20), pages 1-75, January.
    6. Bertasiute, Akvile & Massaro, Domenico & Weber, Matthias, 2020. "The behavioral economics of currency unions: Economic integration and monetary policy," Journal of Economic Dynamics and Control, Elsevier, vol. 112(C).
    7. Crowley, Patrick M. & Hallett, Andrew Hughes, 2018. "What causes business cycles to elongate, or recessions to intensify?," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 338-349.
    8. Maximo Camacho & Danilo Leiva-Leon & Gabriel Perez-Quiros, 2016. "Country Shocks, Monetary Policy Expectations and ECB Decisions. A Dynamic Non-linear Approach," Advances in Econometrics, in: Eric Hillebrand & Siem Jan Koopman (ed.), Dynamic Factor Models, volume 35, pages 283-316, Emerald Publishing Ltd.
    9. Matkovskyy, Roman, 2012. "Прогнозування Реакції Економіки України На Економічні Шоки В Сусідніх Державах: Глобальна Векторна Авторегресійна Модель «Україна-Сусіди»
      [Forecasting the Responses of Ukraine to Economic Shocks in
      ," MPRA Paper 44717, University Library of Munich, Germany, revised Nov 2012.
    10. Bagliano, Fabio C. & Morana, Claudio, 2012. "The Great Recession: US dynamics and spillovers to the world economy," Journal of Banking & Finance, Elsevier, vol. 36(1), pages 1-13.
    11. Cesa-Bianchi, Ambrogio, 2013. "Housing cycles and macroeconomic fluctuations: A global perspective," Journal of International Money and Finance, Elsevier, vol. 37(C), pages 215-238.
    12. Woon Gyu Choi & Byongju Lee & Taesu Kang & Geun-Young Kim, 2016. "Divergent EME Responses to Global and Domestic Monetary Policy Shocks," Working Papers 2016-15, Economic Research Institute, Bank of Korea.
    13. Razafindrabe, Tovonony M., 2016. "A multi-country DSGE model with incomplete exchange rate pass-through: An application for the Euro-area," Economic Modelling, Elsevier, vol. 52(PA), pages 78-100.
    14. Ansgar H. Belke & Thomas U. Osowski, 2019. "Measuring fiscal spillovers in EMU and beyond: A Global VAR approach," Scottish Journal of Political Economy, Scottish Economic Society, vol. 66(1), pages 54-93, February.
    15. Kai Liu, 2014. "Public Finances, Business Cycles and Structural Fiscal Balances," Cambridge Working Papers in Economics 1411, Faculty of Economics, University of Cambridge.
    16. Crespo-Cuaresma, Jesús & Fernández-Amador, Octavio, 2013. "Business cycle convergence in EMU: A second look at the second moment," Journal of International Money and Finance, Elsevier, vol. 37(C), pages 239-259.
    17. Konstantakis, Konstantinos & Michaelides, Panayotis G., 2014. "Combining Input-Output (IO) analysis with Global Vector Autoregressive (GVAR) modeling: Evidence for the USA (1992-2006)," MPRA Paper 67111, University Library of Munich, Germany.
    18. Dragomirescu-Gaina, Catalin & Philippas, Dionisis, 2015. "Strategic interactions of fiscal policies in Europe: A global VAR perspective," Journal of International Money and Finance, Elsevier, vol. 59(C), pages 49-76.
    19. Kai Liu, 2014. "Dollar Hegemony and China's Economy," Cambridge Working Papers in Economics 1410, Faculty of Economics, University of Cambridge.
    20. Dovern, Jonas & van Roye, Björn, 2014. "International transmission and business-cycle effects of financial stress," Journal of Financial Stability, Elsevier, vol. 13(C), pages 1-17.

    More about this item

    Keywords

    demand shocks; Global VAR (GVAR); monetary policy shocks; New Keynesian DSGE models; supply shocks;

    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
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications
    • F42 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - International Policy Coordination and Transmission

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