This paper conducts an empirical analysis of the heterogeneity of recessions in monthly U.S. coincident and leading indicator variables. Univariate Markovswitching models indicate that it is appropriate to allow for two distinct recession regimes, corresponding with ‘mild’ and ‘severe’ recessions. All downturns start with a mild decline in the level of economic activity. Contractions that develop into severe recessions mostly correspond with periods of substantial credit squeezes as suggested by the ‘financial accelerator’ theory. Multivariate Markov-switching models that allow for phase shifts between the cyclical regimes of industrial production and the Conference Board Leading Economic Index confirm these findings
This paper introduces a Markov-switching model in which transition probabilities depend on higher fr...
Economic recession prediction has received substantial attention in recent years. The topic is impor...
The purpose of this paper is two-fold. First, we compare the accuracy of previous studies that analy...
This paper conducts an empirical analysis of the heterogeneity of recessions inmonthly U.S. coincide...
This paper examines the usefulness of a more refined business cycle classification for monthly indus...
This paper advances beyond the prediction of the probability of a recession by also considering its ...
This paper analyzes the performance of the monthly economic policy uncertainty (EPU) index in predic...
The Great Recession and the subsequent period of subdued GDP growth in most advanced economies have ...
This paper estimates and forecasts U.S. business cycle turning points with state-level data. The pro...
This dissertation focuses on the extensions of the Markov switching model (both univariate and multi...
This paper estimates and forecasts U.S. business cycle turning points with state-level data. The pro...
This article explores 35 years of the U.S. business cycle with a multivariate hidden Markov model us...
This article proposes first a univariate Markov-Switching Model of US GNP, decomposed into unobserva...
This dissertation proposes a dynamic factor model with regime switching as an empirical characteriza...
The goal of this thesis is to answer the question what is the probability that the U.S. economy will...
This paper introduces a Markov-switching model in which transition probabilities depend on higher fr...
Economic recession prediction has received substantial attention in recent years. The topic is impor...
The purpose of this paper is two-fold. First, we compare the accuracy of previous studies that analy...
This paper conducts an empirical analysis of the heterogeneity of recessions inmonthly U.S. coincide...
This paper examines the usefulness of a more refined business cycle classification for monthly indus...
This paper advances beyond the prediction of the probability of a recession by also considering its ...
This paper analyzes the performance of the monthly economic policy uncertainty (EPU) index in predic...
The Great Recession and the subsequent period of subdued GDP growth in most advanced economies have ...
This paper estimates and forecasts U.S. business cycle turning points with state-level data. The pro...
This dissertation focuses on the extensions of the Markov switching model (both univariate and multi...
This paper estimates and forecasts U.S. business cycle turning points with state-level data. The pro...
This article explores 35 years of the U.S. business cycle with a multivariate hidden Markov model us...
This article proposes first a univariate Markov-Switching Model of US GNP, decomposed into unobserva...
This dissertation proposes a dynamic factor model with regime switching as an empirical characteriza...
The goal of this thesis is to answer the question what is the probability that the U.S. economy will...
This paper introduces a Markov-switching model in which transition probabilities depend on higher fr...
Economic recession prediction has received substantial attention in recent years. The topic is impor...
The purpose of this paper is two-fold. First, we compare the accuracy of previous studies that analy...