Diffusion index-based inflation forecasts for the euro area
In: Empirical studies of structural changes and inflation
AbstractDiffusion indexes based on dynamic factors have recently been advocated by Stock and Watson (1998), and further used to perform forecasting tests by the same authors on US data. This technique is explored for the euro area using a multi-country data set and a broad array of variables, in order to test the inflation forecasting performance of extracted factors at the aggregate euro area level. First, a description of factors extracted from different data sets is performed using a number of different approaches. Conclusions reached are that nominal phenomena in the original variables might be well captured in-sample using the factor approach. Out-of-sample tests have more ambiguous interpretation, as factors seem to be good leading indicators of inflation, but the comparative advantage of the factors is less clear. Nevertheless, alternative indicators such as unemployment or money growth do not outperform them JEL Classification: C53, E31, E37
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This item is provided by Bank for International Settlements in its series BIS Papers chapters with number 03-05.
Other versions of this item:
- Angelini, Elena & Henry, Jérôme & Mestre, Ricardo, 2001. "Diffusion index-based inflation forecasts for the euro area," Working Paper Series, European Central Bank 0061, European Central Bank.
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
- E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
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- Danny Quah & Thomas J. Sargent, 1993.
"A Dynamic Index Model for Large Cross Sections,"
in: Business Cycles, Indicators and Forecasting, pages 285-310
National Bureau of Economic Research, Inc.
- Danny Quah & Thomas J. Sargent, 1993. "A Dynamic Index Model for Large Cross Sections," CEP Discussion Papers, Centre for Economic Performance, LSE dp0132, Centre for Economic Performance, LSE.
- Danny Quah & Thomas J. Sargent, 1992. "A dynamic index model for large cross sections," Discussion Paper / Institute for Empirical Macroeconomics, Federal Reserve Bank of Minneapolis 77, Federal Reserve Bank of Minneapolis.
- Ben S. Bernanke & Jean Boivin, 2001.
"Monetary Policy in a Data-Rich Environment,"
NBER Working Papers
8379, National Bureau of Economic Research, Inc.
- Jushan Bai & Serena Ng, 2000.
"Determining the Number of Factors in Approximate Factor Models,"
Boston College Working Papers in Economics, Boston College Department of Economics
440, Boston College Department of Economics.
- Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, Econometric Society, vol. 70(1), pages 191-221, January.
- Jushan Bai & Serena Ng, 2000. "Determining the Number of Factors in Approximate Factor Models," Econometric Society World Congress 2000 Contributed Papers, Econometric Society 1504, Econometric Society.
- Mario Forni & Lucrezia Reichlin, 1998.
"Let's get real: a factor analytical approach to disaggregated business cycle dynamics,"
ULB Institutional Repository
2013/10147, ULB -- Universite Libre de Bruxelles.
- Forni, Mario & Reichlin, Lucrezia, 1998. "Let's Get Real: A Factor Analytical Approach to Disaggregated Business Cycle Dynamics," Review of Economic Studies, Wiley Blackwell, Wiley Blackwell, vol. 65(3), pages 453-73, July.
- James H. Stock & Mark W. Watson, 1998. "Diffusion Indexes," NBER Working Papers 6702, National Bureau of Economic Research, Inc.
- Marcellino, Massimiliano & Stock, James H. & Watson, Mark W., 2003.
"Macroeconomic forecasting in the Euro area: Country specific versus area-wide information,"
European Economic Review, Elsevier,
Elsevier, vol. 47(1), pages 1-18, February.
- Massimiliano Marcellino & James H. Stock & Mark W. Watson, . "Macroeconomic Forecasting in the Euro Area: Country Specific versus Area-Wide Information," Working Papers 201, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
- Forni, Mario & Lippi, Marco, 2000.
"The Generalized Dynamic Factor Model: Representation Theory,"
CEPR Discussion Papers, C.E.P.R. Discussion Papers
2509, C.E.P.R. Discussion Papers.
- Forni, Mario & Lippi, Marco, 2001. "The Generalized Dynamic Factor Model: Representation Theory," Econometric Theory, Cambridge University Press, Cambridge University Press, vol. 17(06), pages 1113-1141, December.
- Angelini, Elena & Henry, Jérôme & Mestre, Ricardo, 2001.
"A multi-country trend indicator for euro area inflation: computation and properties,"
Working Paper Series, European Central Bank
0060, European Central Bank.
- Elena Angelini & Jérôme Henry & Ricardo Mestre, 2001. "A multi-country trend indicator for euro area inflation: computation and properties," BIS Papers chapters, Bank for International Settlements, in: Bank for International Settlements (ed.), Empirical studies of structural changes and inflation, volume 3, pages 81-108 Bank for International Settlements.
- Clements,Michael & Hendry,David, 1998.
"Forecasting Economic Time Series,"
Cambridge Books, Cambridge University Press,
Cambridge University Press, number 9780521632423.
- Mario Forni & Marc Hallin & Lucrezia Reichlin & Marco Lippi, 2000.
"The generalised dynamic factor model: identification and estimation,"
ULB Institutional Repository
2013/10143, ULB -- Universite Libre de Bruxelles.
- Mario Forni & Marc Hallin & Marco Lippi & Lucrezia Reichlin, 2000. "The Generalized Dynamic-Factor Model: Identification And Estimation," The Review of Economics and Statistics, MIT Press, vol. 82(4), pages 540-554, November.
- Forni, Mario & Hallin, Marc & Lippi, Marco & Reichlin, Lucrezia, 1999. "The Generalized Dynamic Factor Model: Identification and Estimation," CEPR Discussion Papers, C.E.P.R. Discussion Papers 2338, C.E.P.R. Discussion Papers.
- Thomas J. Sargent & Christopher A. Sims, 1977.
"Business cycle modeling without pretending to have too much a priori economic theory,"
Working Papers, Federal Reserve Bank of Minneapolis
55, Federal Reserve Bank of Minneapolis.
- Tom Doan, . "RATS program to estimate observable index model from Sargent-Sims(1977)," Statistical Software Components RTZ00126, Boston College Department of Economics.
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