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Factor Models in Large Cross-Sections of Time Series Author info | Abstract | Publisher info | Download info | Related research | Statistics Reichlin, Lucrezia
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This Paper reviews recent econometric work on factor models in large cross-sections of time series. In this literature, traditional factor analysis is adapted to develop parsimonious estimation methods for high dimension time series models. The review covers problems of consistency and rates – as the dimension of the cross-section and the time dimension become large – identification and forecasting. We also review empirical applications on measuring and interpreting business cycles.
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Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number
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Date of creation: Mar 2002Date of revision:
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Keywords: business cycles ; factor analysis ; panel data ; Other versions of this item:
Find related papers by JEL classification: C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation
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References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.: Mario Forni & Marc Hallin & Marco Lippi & Lucrezia Reichlin, 2003.
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references Cited by : (explanations , Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.)
Tamim Bayoumi & Thomas Helnling, 2003.
"Are They All in the Same Boat? The 2000-2001 Growth Slowdown and the G-7 Business Cycle Linkages ,"
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03/46, International Monetary Fund.
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Amstad, Marlene & Fischer, Andreas M, 2005.
"Shock Identification of Macroeconomic Forecasts Based on Daily Panels ,"
CEPR Discussion Papers
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Other versions: Lucia Alessi & Matteo Barigozzi & Marco Capasso, 2006.
"A Dynamic Factor Analysis of Business Cycle on Firm-Level Data ,"
LEM Papers Series
2006/27, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
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