scholarly journals Measuring the Business Cycle Chronology with a Novel Business Cycle Indicator for Germany

2021 ◽  
Author(s):  
Agnieszka Gehringer ◽  
Thomas Mayer
Keyword(s):  
Principal Component Analysis ◽  
Time Series ◽  
Gross Domestic Product ◽  
Business Cycle ◽  
Economic Activity ◽  
Principal Component ◽  
Economic Time Series ◽  
Economic Time ◽  
The Business Cycle ◽  
Cycle Indicator

AbstractThis paper introduces a Business Cycle Indicator to compile a transparent and reliable chronology of past business cycle turning points for Germany. The Indicator is derived applying the statistical method of Principal Component Analysis, based on information from 20 economic time series. In this way, the Business Cycle Indicator grasps the development of the broader economic activity and has several advantages over a business cycle assessment based on quarterly series of Gross Domestic Product.

scholarly journals Labor Market Indicator for Colombia

2021 ◽  
pp. 1-32
Author(s):  
Deicy J. Cristiano-Botia ◽  
Manuel Dario Hernandez-Bejarano ◽  
Mario A. Ramos-Veloza
Keyword(s):  
Time Series ◽  
Labor Market ◽  
Business Cycle ◽  
Unemployment Rate ◽  
Economic Activity ◽  
Growth Cycle ◽  
Current State ◽  
The Business Cycle ◽  
Market Indicator

Although the unemployment rate is traditionally used to diagnose the current state of the labor market, this indicator does not reflect the existence of asymmetries, mobility costs, and rigidities which impede labor to freely flow over the business cycle. Thus, to get a better portrait of the momentum, we construct the Labor Market Indicator (LMI) focusing on the cyclical similarities of eighteen time series from the Colombian household, industrial, and opinion surveys between 2001 and 2019. Our indicator summarizes the growth cycle of the labor market and its evolution is closely related to the output and unemployment GAP. This indicator is useful for policy analysis as it is useful to forecast headline inflation, it also complements the diagnosis of the current momentum of the labor market, the general economic activity, and the characterization of economic phases and turning points.

Effects of filtering data on testing asymmetry in threshold autoregressive models

2016 ◽  
Vol 20 (5) ◽  
Author(s):  
Jing Li
Keyword(s):  
Time Series ◽  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Business Cycle ◽  
Error Term ◽  
Economic Time Series ◽  
Threshold Autoregressive ◽  
Threshold Autoregression ◽  
Power Of The Test ◽  
Economic Time

AbstractEmpirical macroeconomic research on business cycle typically filters economic time series in order to obtain cyclical components. This paper examines the effects of filtering data on the test for a linear autoregression against a threshold autoregression. Monte Carlo simulation shows that (1) filtering data in general reduces the power of the test, (2) the power is sensitive to the choice of filters and the specification of the trend and cyclical components, (3) regime-varying variance of the error term can affect the rejection frequency. Empirical evidences for cyclical asymmetry are provided for the quarterly US real GNP.

EXPANSIONS AND RECESSIONS IN THE MEXICAN STATES: A CLASSICAL BUSINESS CYCLES APPROACH

2017 ◽  
Vol 3 (5) ◽  
pp. 32
Author(s):  
Pablo Mejía-Reyes
Keyword(s):  
Business Cycles ◽  
Business Cycle ◽  
Monthly Basis ◽  
Production Index ◽  
Clear Cut ◽  
Output Measure ◽  
Central Regions ◽  
The Business Cycle ◽  
National Business ◽  
Cycle Indicator

This paper aims to document expansions and recessions characteristics for 17 states of Mexico over the period 1993-2006 by using a classical business cycle approach. We use the manufacturing production index for each state as the business cycle indicator since it is the only output measure available on a monthly basis. According to this approach, we analyse asymmetries in mean, volatility and duration as well as synchronisation over the business cycle regimes (expansions and recessions) for each case. Our results indicate that recessions are less persistent and more volatile (in general) than expansions in most Mexican states; yet, there is no clear cut evidence on mean asymmetries. In turn, there seems to be strong links between the business cycle regimes within the Northern and Central regions of the country and between states with similar industrialisation patterns, although it is difficult to claim that a national business cycle exists.

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