Empirical Economics

, Volume 56, Issue 4, pp 1283–1323 | Cite as

Estimating and forecasting with a two-country DSGE model of the Euro area and the USA: the merits of diverging interest-rate rules

  • Ulrich GunterEmail author


In this paper we estimate and forecast with a small-scale DSGE model of the Euro area and the USA characterized by diverging interest-rate rules using quarterly data from 1996Q2 to 2011Q2. These diverging rules reflect the differing mandates of the ECB and the Fed, respectively. Due to its primary objective of price stability, the ECB is supposed to conduct monetary policy by considering producer-price inflation only (single mandate), whereas the Fed is assumed to conduct its policy by taking into account the output gap in addition to producer-price inflation (dual mandate). In terms of the RMSE and the MAE, the DSGE model with diverging interest-rate rules outperforms a DSGE model with identical interest-rate rules in almost 70% of all cases for almost all variables across forecast horizons out of sample. It also compares well with BVAR benchmarks. For shorter horizons, we find some statistically significant differences in forecast accuracy between rival models. For forecast horizons three and four quarters ahead, the null hypothesis of equal forecast accuracy can seldom be rejected.


Central bank mandates DSGE models Forecast evaluation Monetary policy Open-economy macroeconomics 

JEL Classification

E47 E52 E58 


  1. Adolfson M, Lindé J, Villani M (2007) Forecasting performance of an open economy DSGE model. Econometr Rev 26:289–328CrossRefGoogle Scholar
  2. Adolfson M, Laséen S, Lindé J, Villani M (2008) Empirical properties of closed- and open-economy DSGE models of the euro area. Macroecon Dyn 12:2–19CrossRefGoogle Scholar
  3. Alves SAL (2014) Lack of divine coincidence in new keynesian models. J Monet Econ 67:33–46CrossRefGoogle Scholar
  4. An S, Schorfheide F (2007) Bayesian analysis of DSGE models. Econometr Rev 26:113–172CrossRefGoogle Scholar
  5. Belke A, Klose J (2010) (How) Do the ECB and the fed react to financial market uncertainty? The Taylor rule in times of crisis. DIW discussion paper No. 972. DIW, BerlinGoogle Scholar
  6. Benati L, Goodhart C (2010) Monetary policy regimes and economic performance: the historical record, 1979–2008. In: Friedman BM, Woodford M (eds) Handbook of monetary economics, vol 3. Elsevier, Amsterdam, pp 1159–1236CrossRefGoogle Scholar
  7. Benigno G, Benigno P (2006) Designing targeting rules for international monetary policy cooperation. J Monet Econ 53:473–506CrossRefGoogle Scholar
  8. Blanchard OJ, Galí J (2007) Real wage rigidities and the new Keynesian model. J Money Credit Bank 39:35–65CrossRefGoogle Scholar
  9. Blanchard OJ, Kahn CM (1980) The solution of linear difference models under rational expectations. Econometrica 48:1305–1311CrossRefGoogle Scholar
  10. Brooks SP, Gelman A (1998) General methods for monitoring convergence of iterative simulations. J Comput Graph Stat 7:434–455Google Scholar
  11. Bullard J, Mitra K (2002) Learning about monetary policy rules. J Monet Econ 49:1105–1129CrossRefGoogle Scholar
  12. Calvo GA (1983) Staggered prices in a utility-maximizing framework. J Monet Econ 12:383–398CrossRefGoogle Scholar
  13. Chatfield C (2001) Time-series forecasting. Chapman and Hall, Boca RatonGoogle Scholar
  14. Christoffel K, Coenen G, Warne A (2008) The new area-wide model of the euro area: a micro-founded open-economy model for forecasting and policy analysis. ECB working paper no. 944. ECB, Frankfurt a. M.Google Scholar
  15. Čihák M, Harjes T, Stavrev E (2009) Euro area monetary policy in uncharted waters. IMF working paper no. 09/185. IMF, WashingtonGoogle Scholar
  16. Clarida R, Galí J, Gertler M (1999) The science of monetary policy: a new Keynesian perspective. J Econ Perspect 37:1661–1707Google Scholar
  17. Clarida R, Galí J, Gertler M (2001) Optimal monetary policy in open versus closed economies: an integrated approach. Am Econ Rev 91:248–252CrossRefGoogle Scholar
  18. Clarida R, Galí J, Gertler M (2002) A simple framework for international monetary policy analysis. J Monet Econ 49:879–904CrossRefGoogle Scholar
  19. Clark TE, McCracken MW (2001) Tests of equal forecast accuracy and encompassing for nested models. J Econ 105:85–110CrossRefGoogle Scholar
  20. Clark TE, McCracken MW (2006) The predictive content of the output gap for inflation: resolving in-sample and out-of-sample evidence. J Money Credit Bank 38:1127–1148CrossRefGoogle Scholar
  21. Corsetti C, Pesenti P (2001) Welfare and macroeconomic interdependence. Quart J Econ 116:421–445CrossRefGoogle Scholar
  22. Corsetti G, Dedola L, Leduc S (2010) Optimal monetary policy in open economies. In: Friedman BM, Woodford M (eds) Handbook of monetary economics, vol 3. Elsevier, Amsterdam, pp 861–933CrossRefGoogle Scholar
  23. Crowe C, Meade EE (2007) The evolution of central bank governance around the world. J Econ Perspect 21:69–90CrossRefGoogle Scholar
  24. Debelle G, Fischer S (1995) How independent should a central bank be? In: Fuhrer JC (ed) Goals, guidelines and constraints facing. Monetary policymakers, Boston, Federal Reserve Bank of Boston, Conference Series No. 38, pp 195–221Google Scholar
  25. Del Negro M, Schorfheide F (2004) Priors from general equilibrium models for VARs. Int Econ Rev 45:643–673CrossRefGoogle Scholar
  26. Del Negro M, Schorfheide F, Smets F, Wouters R (2007) On the fit of new Keynesian models. J Bus Econ Stat 25:123–162CrossRefGoogle Scholar
  27. Diebold FX, Mariano RS (1995) Comparing predictive accuracy. J Bus Econ Stat 13:253–263Google Scholar
  28. Dixit AK, Stiglitz JE (1977) Monopolistic competition and optimum product diversity. Am Econ Rev 67:297–308Google Scholar
  29. Doan T, Litterman RB, Sims CA (1984) Forecasting and conditional projection under realistic prior distributions. Econometr Rev 3:1–100CrossRefGoogle Scholar
  30. Edge RM, Kiley MT, LaForte JP (2010) A comparison of forecast performance between Federal Reserve staff forecasts, simple reduced-form models, and a DSGE model. J Appl Econometr 25:720–754CrossRefGoogle Scholar
  31. Eijffinger SCW, De Haan J (1996) The political economy of Central-Bank independence. Special papers in international economics no. 19. Princeton University, PrincetonGoogle Scholar
  32. Engel C (2011) Currency misalignments and optimal monetary policy: a reexamination. Am Econ Rev 101:2796–2822CrossRefGoogle Scholar
  33. European Union (2010) Consolidated version of the Treaty on European Union. Off J Eur Union, 2010/C 83/01. Accessed 25 Sept 2012
  34. European Union (2010) Consolidated version of the treaty on the functioning of the European Union. Off J Eur Union, 2010/C 83/01. URL: Accessed 25 Sept 2012
  35. Galí J, Monacelli T (2005) Optimal monetary policy and exchange rate volatility in a small open economy. Rev Econ Stud 72:707–734CrossRefGoogle Scholar
  36. Geweke J (1999) Using simulation methods for Bayesian econometric models: inference, development, and communication. Econometr Rev 18:1–73CrossRefGoogle Scholar
  37. Giacomini R, White H (2006) Tests of conditional predictive ability. Econometrica 74:1545–1578CrossRefGoogle Scholar
  38. Giraitis L, Kapetanios G, Theodoridis K, Yates T (2014) Estimating time-varying DSGE models using minimum distance methods. Bank of England working paper no. 507. Bank of England, LondonGoogle Scholar
  39. Gunter U (2009) Macroeconomic interdependence in a two-country DSGE model under diverging interest-rate rules. Vienna economics paper no. 0903. University of Vienna, ViennaGoogle Scholar
  40. Gupta R, Kabundi A (2010) Forecasting macroeconomic variables in a small open economy: a comparison between small- and large-scale models. J Forecast 29:168–185CrossRefGoogle Scholar
  41. Gupta R, Kabundi A (2011) A large factor model for forecasting macroeconomic variables in South Africa. Int J Forecast 27:1076–1088CrossRefGoogle Scholar
  42. Harvey D, Leybourne S, Newbold P (1997) Testing the equality of prediction mean squared errors. Int J Forecast 13:281–291CrossRefGoogle Scholar
  43. Hodrick RJ, Prescott EC (1997) Postwar US business cycles: an empirical investigation. J Money Credit Bank 29:116–130CrossRefGoogle Scholar
  44. Ilbas P (2012) Revealing the preferences of the US Federal Reserve. J Appl Econ 27:440–473CrossRefGoogle Scholar
  45. Jeffreys H (1961) Theory of probability, 3rd edn. Oxford classic texts in the physical sciences. Oxford University Press, OxfordGoogle Scholar
  46. Kim B-G (2016) Supply shocks and the divine coincidence. Econ Lett 145:210–213CrossRefGoogle Scholar
  47. Koop G (2003) Bayesian econometrics. Wiley, ChichesterGoogle Scholar
  48. Lees K, Matheson T, Smith C (2011) Open economy forecasting with a DSGE-VAR: head to head with the RBNZ published forecasts. Int J Forecast 27:512–528CrossRefGoogle Scholar
  49. Lütkepohl H (2005) New introduction to multiple time series analysis. Springer, BerlinCrossRefGoogle Scholar
  50. Nelson E, Nikolov K (2003) UK Inflation in the 1970s and 1980s: the role of output gap mismeasurement. J Econ Bus 55:353–370CrossRefGoogle Scholar
  51. Newey WK, West KD (1987) A simple, positive semi-definite, heteroskedasticity and autocorrelation consistent covariance matrix. Econometrica 55:703–708CrossRefGoogle Scholar
  52. Newey WK, West KD (1994) Automatic lag selection in covariance matrix estimation. Rev Econ Stud 61:631–653CrossRefGoogle Scholar
  53. Obstfeld M, Rogoff K (2001) Risk and exchange rates. Conference paper in honor of Assaf Razin, Tel-Aviv UniversityGoogle Scholar
  54. Orphanides A, van Norden S (2005) The reliability of inflation forecasts based on output gap estimates in real time. J Money Credit Bank 37:583–601CrossRefGoogle Scholar
  55. Pappa E (2004) Do the ECB and the fed really need to cooperate? Optimal monetary policy in a two-country world. J Monet Econ 51:753–779CrossRefGoogle Scholar
  56. Pesaran MH, Pick A (2011) Forecast combination across estimation windows. J Bus Econ Stat 29:307–318CrossRefGoogle Scholar
  57. Ratto M (2011) Identification analysis of DSGE models with DYNARE. Joint Research Centre, European Commission, MimeoGoogle Scholar
  58. Robert CP, Chopin N, Rousseau J (2009) Harold Jeffreys’s theory of probability revisited. Stat Sci 24:141–172CrossRefGoogle Scholar
  59. Roberts GO, Gelman A, Gilks WR (1997) Weak convergence and optimal scaling of random walk metropolis algorithms. Ann Appl Probab 7:110–120CrossRefGoogle Scholar
  60. Rubaszek M, Skrzypczyński P (2008) On the forecasting performance of a small-scale DSGE model. Int J Forecast 24:498–512CrossRefGoogle Scholar
  61. Sahuc JG, Smets F (2008) Differences in interest rate policy at the ECB and the Fed: an investigation with a medium-scala DSGE model. J Money Credit Bank 40:505–521CrossRefGoogle Scholar
  62. Sargent TJ, Wallace N (1975) ‘Rational’ expectations, the optimal monetary instrument, and the optimal money supply rule. J Polit Econ 83:241–254CrossRefGoogle Scholar
  63. Schmitt-Grohé S, Uribe M (2004) Solving dynamic general equilibrium models using a second-order approximation to the policy function. J Econ Dyn Control 28:755–775CrossRefGoogle Scholar
  64. Sims C (2003) Matlab procedures to compute marginal data densities for VARs with Minnesota and training sample priors. Princeton University, PrincetonGoogle Scholar
  65. Smets F, Wouters R (2003) An estimated dynamic stochastic general equilibrium model of the euro area. J Eur Econ Assoc 1:1123–1175CrossRefGoogle Scholar
  66. Smets F, Wouters R (2004) Forecasting with a Bayesian DSGE model: an application to the euro area. J Common Market Stud 42:841–867CrossRefGoogle Scholar
  67. Smets F, Wouters R (2005) Comparing shocks and frictions in US and euro area business cycles: a Bayesian DSGE approach. J Appl Econometr 20:161–183CrossRefGoogle Scholar
  68. Smets F, Wouters R (2007) Shocks and frictions in US business cycles: a Bayesian DSGE approach. Am Econ Rev 97:586–606CrossRefGoogle Scholar
  69. Taylor JB (1993) Discretion versus policy rules in practice. In: Carnegie-Rochester conferences series on public policy vol 39, pp 195–214Google Scholar
  70. United States (2000) Federal Reserve Act. 12 USC 225a. As added by act of November 16, 1977 (91 Stat. 1387) and amended by acts of October 27, 1978 (92 Stat. 1897); Aug. 23, 1988 (102 Stat. 1375); and Dec. 27, 2000 (114 Stat. 3028). URL: Accessed 25 Sept 2012
  71. Wang M (2009) Comparing the DSGE model with the factor model: an out-of-sample forecasting experiment. J Forecast 28:167–182CrossRefGoogle Scholar
  72. Woodford M (2003) Interest and prices. Princeton University Press, PrincetonGoogle Scholar

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© Springer-Verlag GmbH Germany, part of Springer Nature 2017

Authors and Affiliations

  1. 1.Department of Tourism and Service ManagementMODUL University ViennaViennaAustria

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