Signaling NBER turning points: a sequential approach

被引:7
作者
Golosnoy, Vasyl [1 ]
Hogrefe, Jens [2 ]
机构
[1] Univ Kiel, Inst Stat & Econometr, D-24118 Kiel, Germany
[2] Kiel Inst World Econ, D-24105 Kiel, Germany
关键词
CUSUM; early signals; multivariate control charts; NBER business cycle; sequential monitoring; STATISTICAL SURVEILLANCE; BUSINESS-CYCLE; CUSUM;
D O I
10.1080/02664763.2012.748017
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
The dates of the U.S. business cycle are reported by the National Bureau of Economic Research with a considerable delay, so an early notion of turning points is of particular interest. This paper proposes a novel sequential classification approach designed for timely signaling these turning points, using the time series of coincident economic indicators. The approach exhibits a range of theoretical optimality properties for early signaling, moreover, it is transparent and easy to implement. The empirical study evaluates the signaling ability of the proposed methodology.
引用
收藏
页码:438 / 448
页数:11
相关论文
共 30 条
[1]   Some statistical aspects of methods for detection of turning points in business cycles [J].
Andersson, E ;
Bock, D ;
Frisén, M .
JOURNAL OF APPLIED STATISTICS, 2006, 33 (03) :257-278
[2]   Statistical surveillance of cyclical processes with application to turns in business cycles [J].
Andersson, E ;
Bock, D ;
Frisén, M .
JOURNAL OF FORECASTING, 2005, 24 (07) :465-490
[3]  
[Anonymous], 2002, NBER MACROECONOMICS
[4]  
[Anonymous], 2009, STAT QUALITY CONTROL
[5]  
[Anonymous], 1985, Sequential Analysis
[6]   Aspects on the control of false alarms in statistical surveillance and the impact on the return of financial decision systems [J].
Bock, David .
JOURNAL OF APPLIED STATISTICS, 2008, 35 (02) :213-227
[7]  
Burns AF., 1946, NBER Studies in Business Cycles2
[8]  
Chauvet M, 2006, CONTRIB TO ECON ANAL, V276, P1
[9]   Statistical surveillance.: Optimality and methods [J].
Frisén, M .
INTERNATIONAL STATISTICAL REVIEW, 2003, 71 (02) :403-434
[10]   EVALUATIONS OF METHODS FOR STATISTICAL SURVEILLANCE [J].
FRISEN, M .
STATISTICS IN MEDICINE, 1992, 11 (11) :1489-1502