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Forecasting Euro Area Inflation Using Single-Equation and Multivariate VAR–Models Cover

Forecasting Euro Area Inflation Using Single-Equation and Multivariate VAR–Models

Open Access
|Dec 2017

References

  1. Akaike, H. (1973). Information theory and an extension of the maximum likelihood principle. In: B.N. Petrov (ed.), Proceedings of the Second International Symposium on Information Theory Budapest (pp. 267–281). Akademiai Kiado.
  2. Berg, T.O., Henzel, S. (2014). Point and density forecasts for the euro area using Bayesian VARs. CESifo Working Paper, No. 4711.10.2139/ssrn.2425533
  3. Bernanke, B.S., Boivin, J., Eliasz, P. (2004). Measuring the effects of monetary policy: a Factor-Augmented Vector Autoregressive (FAVAR) Approach. NBER Working Paper, No. 10220.10.3386/w10220
  4. Box, G.P., Jenkins, G.M. (1970). Time Series Analysis: Forecasting and Control. San Francisco: Holden Day.
  5. Ciccarelli, M., Mojon, B. (2010). Global inflation. Review of Economics and Statistics, 3 (92), 524–535.10.1162/REST_a_00008
  6. De Mello, M.M. (2009). The role of cointegration and the forecast accuracy of VAR models. CEF.UP Working Paper, No. 2009-01.
  7. Diebold, F.X., Mariano, R.S. (1991). Comparing predictive accuracy: an asymptotic test. Discussion Paper, No. 52, Institute for Empirical Macroeconomics, Federal Reserve Bank of Minneapolis.10.21034/dp.52
  8. Diebold, F.X., Mariano, R.S. (1995). Comparing predictive accuracy. Journal of Business and Economic Statistics, 13, 253–263.10.1080/07350015.1995.10524599
  9. Doan, T., Litterman, R., Sims, C.A. (1984). Forecasting and conditional projection using realistic prior distributions. Econometric Reviews, 3, 1–100.10.1080/07474938408800053
  10. Engle, R.F., Granger, C.W.J. (1987). Co-integration and Error Correction: Representation, Estimation, and Testing. Econometrica, 55 (2), 251–276.10.2307/1913236
  11. Estrella, A., Hardouvelis, G.A. (1991). The term structure as a predictor of real economic activity. The Journal of Finance, 2 (46), 555–576.10.1111/j.1540-6261.1991.tb02674.x
  12. European Central Bank (2014). The Phillips Curve relationship in the euro area. Monthly Bulletin, July, Frankfurt am Main.
  13. Forni, M., Hallin, M., Lippi, M., Reichlin, L. (2003). Do financial variables help forecasting inflation and real activity in the euro area? Journal of Monetary Economics, 6 (50), 1243–1255.10.1016/S0304-3932(03)00079-5
  14. Friedman, B.M. (1991). Targets and instruments of monetary policy. NBER Working Paper, No. 2668. Also published in B.M. Friedman, F.H. Hahn (eds.). Handbook of Monetary Economics, Vol. II. Amsterdam: Elsevier Science Publishers B.V.
  15. Giannone, D., Lenza, M., Primiceri, G.E. (2012). Prior Selection for Vector Autoregressions. NBER Working Papers, No. 19467.10.3386/w18467
  16. Harvey, D.L., Leybourne, S.J., Newbold, P. (1998). Tests for Forecast Encompassing. Journal of Business and Economic Statistics, 16, 254–259.
  17. Hubrich, K., Skudelny, F. (2016). Forecast combination for euro area inflation – a cure in times of crisis. FEDS Working Paper, No. 2016-104.10.17016/FEDS.2016.104
  18. Hyndman, R.J., Athanasopoulos, G. (2013). Forecasting: principles and practice. OTexts.org/fpp.
  19. Johansen, S. (1991). Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models. Econometrica, 6 (59), 1551–1580.10.2307/2938278
  20. Kennedy, P. (1996). A Guide to Econometrics. 3rd edition. Cambridge, Massachusetts: The MIT Press.
  21. Litterman, R. (1986). Forecasting With Bayesian Vector Autoregressions – Five Years of Experience. Journal of Business and Economic Statistics, 4, 25–38.
  22. Lucas, R.E. (1976). Econometric Policy Evaluation: A Critique. Carnegie-Rochester Conference Series on Public Policy, 1, 19–46.10.1016/S0167-2231(76)80003-6
  23. Lucas, R.E. (1996). Nobel Lecture: monetary neutrality. Journal of Political Economy, 4 (104), 661–682.10.1086/262037
  24. Mikolajun, I., Lodge, D. (2016). Advanced economy inflation: the role of global factors. ECB Working Paper Series, No. 1948.10.2139/ssrn.2831946
  25. Monteforte, L., Moretti, G. (2008). Real time forecasts of inflation: the role of financial variables. Banca d’Italia, mimeo.10.2139/ssrn.1263272
  26. Sims, C.A. (1980). Macroeconomics and Reality. Econometrica, 1 (48), 1–48.10.2307/1912017
  27. Sims, C.A., Zha, T. (1998). Bayesian Methods for Dynamic Multivariate Models. International Economic Review, 4 (39), 949–968.10.2307/2527347
  28. Stock, J.H., Watson, M. (2005). Implications of Dynamic Factor Models for VAR analysis. NBER Working Paper, No. 11467.10.3386/w11467
  29. Zellner, A. (1962). An Efficient Method of Estimating Seemingly Unrelated Regressions and Tests for Aggregation Bias. Journal of the American Statistical Association, 57, 348–368.10.1080/01621459.1962.10480664
DOI: https://doi.org/10.1515/foli-2017-0016 | Journal eISSN: 1898-0198 | Journal ISSN: 1730-4237
Language: English
Page range: 19 - 34
Submitted on: Feb 14, 2017
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Accepted on: Oct 9, 2017
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Published on: Dec 27, 2017
Published by: University of Szczecin
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2017 Dieter Gerdesmeier, Barbara Roffia, Hans-Eggert Reimers, published by University of Szczecin
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.