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Business Cycles in the Euro Area Defined with Coincident Economic Indicators and Predicted with Leading Economic Indicators

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Author Info
Ataman Ozyildirim (The Conference Board)
Brian Schaitkin (The Conference Board)
Victor Zarnowitz (The Conference Board)

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Abstract

Clusters of cyclical turning points in the coincident indicators help us identify and date Euro Area recessions and recoveries in the past several decades. In the U.S. and some other countries, composite indexes of coincident indicators (CEI) are used to date classical business cycle turning points; also indexes of leading indicators (LEI) are used to help in the difficult task of predicting these turning points. This paper reviews a selection of the available data for monthly and quarterly Euro Area coincident and leading indicators. From these data, we develop composite indexes using methods analogous to those tested in the U.S. CEI and LEI published by The Conference Board. We compare the resulting business cycle chronology with the existing alternatives and evaluate our selection of leading indicators in the context of how well they predict current economic activity and its major fluctuations for the Euro Area.

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File URL: http://www.conference-board.org/economics/workingpapers.cfm?pdf=E-0031-08-WP
File Format: application/pdf
File Function: First version, 2008
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Publisher Info
Paper provided by The Conference Board, Economics Program in its series Economics Program Working Papers with number 08-04.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length: 45
Date of creation: Nov 2008
Date of revision:
Handle: RePEc:cnf:wpaper:0804

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Related research
Keywords: Business Cycle; Indicators; Leading Index; Times Series; Forecasting;

Find related papers by JEL classification:
E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation and Testing
C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Other Model Applications
C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions

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This page was last updated on 2009-11-22.


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