Time-Series Variation in Factor Premia: The Influence of the Business Cycle

Author(s):  
Christopher Polk ◽  
Mo Haghbin ◽  
Alessio de Longis
Author(s):  
Britta Gehrke ◽  
Enzo Weber

This chapter discusses how the effects of structural labour market reforms depend on whether the economy is in expansion or recession. Based on an empirical time series model with Markov switching that draws on search and matching theory, we propose a novel identification of reform outcomes and distinguish the effects of structural reforms that increase the flexibility of the labour market in distinct phases of the business cycle. We find in applications to Germany and Spain that reforms which are implemented in recessions have weaker expansionary effects in the short run. For policymakers, these results emphasize the costs of introducing labour market reforms in recessions.


2021 ◽  
pp. 1-32
Author(s):  
Deicy J. Cristiano-Botia ◽  
Manuel Dario Hernandez-Bejarano ◽  
Mario A. Ramos-Veloza

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.


Author(s):  
Agnieszka Gehringer ◽  
Thomas Mayer

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.


2016 ◽  
Vol 63 (4) ◽  
pp. 375-390
Author(s):  
Łukasz Lenart ◽  
Mateusz Pipień

We discuss representation of uncertainty in the business cycle clock. We propose approach utilising description of the unconditional mean of the process, applied for modelling dynamics of macroeco-nomic time series, as a trend component and almost period function in a non-parametric setting. We capture the dynamics over the business cycle, trend component and seasonal fluctuations and possible interactions between these features. A particular values of the almost periodic function are key for representation of the business cycle in a clock, expressing the dynamics according to phase diagram. The set of frequencies interpreted as a properties of the business fluctuations are invariant with respect to filtration methods applied in the procedure.


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