Evaluation of Regime Switching Models for Real-Time Business Cycle Analysis of the Euro Area

被引:11
作者
Billio, Monica [1 ]
Ferrara, Laurent [2 ,3 ,4 ]
Guegan, Dominique [5 ]
Mazzi, Gian Luigi [6 ]
机构
[1] Univ Ca Foscari Venezia, Dipartimento Econ, I-30121 Venice, Italy
[2] Banque France, EconomiX UMR 7235, F-75049 Paris 01, France
[3] Banque France, Int Macroecon Div, F-75049 Paris 01, France
[4] Univ Paris Ouest, Paris, France
[5] Univ Paris 01, CES UMR 8174, Pantheon Sorbonne, France
[6] Eurostat, L-2721 Luxembourg, Luxembourg
关键词
regime switching models; SETAR models; business cycle; turning points; SERIES;
D O I
10.1002/for.2260
中图分类号
F [经济];
学科分类号
02 ;
摘要
In this paper, we aim at assessing Markov switching and threshold models in their ability to identify turning points of economic cycles. By using vintage data updated on a monthly basis, we compare their ability to date ex post the occurrence of turning points, evaluate the stability over time of the signal emitted by the models and assess their ability to detect in real-time recession signals. We show that the competitive use of these models provides a more robust analysis and detection of turning points. To perform the complete analysis, we have built a historical vintage database for the euro area going back to 1970 for two monthly macroeconomic variables of major importance for short-term economic outlook, namely the industrial production index and the unemployment rate. Copyright (c) 2013 John Wiley & Sons, Ltd.
引用
收藏
页码:577 / 586
页数:10
相关论文
共 15 条
[1]   NEW LOOK AT STATISTICAL-MODEL IDENTIFICATION [J].
AKAIKE, H .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1974, AC19 (06) :716-723
[2]  
[Anonymous], GROWTH CYCLE EUROZON
[3]  
[Anonymous], 1997, MARKOV SWITCHING VEC
[4]  
[Anonymous], 200953 WP CES U PAR
[5]  
[Anonymous], 2011, SSRN ELECT J, DOI DOI 10.2139/SSRN.950923
[6]  
[Anonymous], J BUSINESS CYCLE MEA
[7]   Measuring business cycles: A modern perspective [J].
Diebold, FX ;
Rudebusch, GD .
REVIEW OF ECONOMICS AND STATISTICS, 1996, 78 (01) :67-77
[8]   A NEW APPROACH TO THE ECONOMIC-ANALYSIS OF NONSTATIONARY TIME-SERIES AND THE BUSINESS-CYCLE [J].
HAMILTON, JD .
ECONOMETRICA, 1989, 57 (02) :357-384
[9]   Inference in TAR models [J].
Hansen, BE .
STUDIES IN NONLINEAR DYNAMICS AND ECONOMETRICS, 1997, 2 (01) :1-14
[10]   Dissecting the cycle: a methodological investigation [J].
Harding, D ;
Pagan, A .
JOURNAL OF MONETARY ECONOMICS, 2002, 49 (02) :365-381