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Author:Piger, Jeremy M. 

Working Paper
The importance of nonlinearity in reproducing business cycle features

This paper considers the ability of simulated data from linear and nonlinear time-series models to reproduce features in U.S. real GDP data related to business cycle phases. We focus our analysis on a number of linear ARIMA models and nonlinear Markov-switching models. To determine the timing of business cycle phases for the simulated data, we present a model-free algorithm that is more successful than previous methods at matching NBER dates and associated features in the postwar data. We find that both linear and Markov-switching models are able to reproduce business cycle features such as ...
Working Papers , Paper 2004-032

Working Paper
The less volatile U.S. economy: a Bayesian investigation of timing, breadth, and potential explanations

Using a Bayesian model comparison strategy, we search for a volatility reduction within the post-war sample for the growth rates of U.S. aggregate and disaggregate real GDP. We find that the growth rate of aggregate real GDP has been less volatile since the early 1980s, and that this volatility reduction is concentrated in the cyclical component of real GDP. The growth rates of many of the broad production sectors of real GDP display similar reductions in volatility, suggesting the aggregate volatility reduction does not have a narrow source. We also find a large volatility reduction in ...
Working Papers , Paper 2001-016

Working Paper
The less volatile U.S. economy: a Bayesian investigation of timing, breadth, and potential explanations

Using Bayesian tests for a structural break at an unknown break date, we search for a volatility reduction within the post-war sample for the growth rates of U.S. aggregate and disaggregate real GDP. We find that the growth rate of aggregate real GDP has been less volatile since the early 1980's, and that this volatility reduction is concentrated in the cyclical component of real GDP. The growth rates of many of the broad production sectors of real GDP display similar reductions in volatility, suggesting the aggregate volatility reduction does not have a narrow source. We also find a large ...
International Finance Discussion Papers , Paper 707

Working Paper
Common stochastic trends, common cycles, and asymmetry in economic fluctuations

This paper investigates the nature of U.S. business cycle asymmetry using a dynamic factor model of output, investment, and consumption. We identify a common stochastic trend and common transitory component by embedding the permanent income hypothesis within a simple growth model. Markov-switching in each component captures two types of asymmetry: Shifts in the growth rate of the common stochastic trend, having permanent effects, and "plucking" deviations from the common stochastic trend, having only transitory effects. Statistical tests suggest both asymmetries were present in post-war ...
Working Papers , Paper 2001-014

Journal Article
A national recession

National Economic Trends , Issue Apr

Journal Article
Was the recent economic downturn a recession?

National Economic Trends , Issue Aug

Working Paper
A state-level analysis of the Great Moderation

A number of studies have documented a reduction in aggregate macroeconomic volatility beginning in the early 1980s. Using an empirical model of business cycles, we extend this line of research to state-level employment data and find significant heterogeneity in the timing and magnitude of the state-level volatility reductions. In fact, some states experience no statistically-important reductions in volatility. We then exploit this cross sectional heterogeneity to evaluate hypotheses about the origin of the aggregate volatility reduction. We show that states with relatively high concentrations ...
Working Papers , Paper 2007-003

Working Paper
Business cycle phases in U.S. states

The U.S. aggregate business cycle is often characterized as a series of distinct recession and expansion phases. We apply a regime-switching model to state-level coincident indexes to characterize state business cycles in this way. We find that states differ a great deal in the levels of growth that they experience in the two phases: Recession growth rates are related to industry mix, whereas expansion growth rates are related to education and age composition. Further, states differ significantly in the timing of switches between regimes, indicating large differences in the extent to which ...
Working Papers , Paper 2003-011

Working Paper
A comparison of the real-time performance of business cycle dating methods

This paper evaluates the ability of formal rules to establish U.S. business cycle turning point dates in real time. We consider two approaches, a nonparametric algorithm and a parametric Markov-switching dynamic-factor model. In order to accurately assess the real-time performance of these rules, we construct a new unrevised "real-time" data set of employment, industrial production, manufacturing and trade sales, and personal income. We then apply the rules to this data set to simulate the accuracy and timeliness with which they would have identified the NBER business cycle chronology had ...
Working Papers , Paper 2005-021

Working Paper
The 2001 recession and the states of the Eighth Federal Reserve District

This paper examines and compares the recent business cycle experiences of the seven states that lie partly or wholly within the Eighth Federal Reserve District (Arkansas, Illinois, Indiana, Kentucky, Mississippi, Missouri, and Tennessee). For the period surrounding the 1990-91 NBER recession, six of the seven states had recessions that were much shorter than for the country as a whole. For the period surrounding the 2001 NBER recession, four states-Arkansas, Indiana, Kentucky, and Tennessee-entered and exited recession earlier than the country as a whole. Recessions in the other three states ...
Working Papers , Paper 2005-053

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