This paper characterizes business cycle phenomena in a sample of 27 developed and developing economies using a univariate Markov regime switching approach. It examines the efficacy of this approach for detecting business cycle turning points and for identifying distinct economic regimes for each...

We derive a comprehensive one-year ahead forecasting model of US per capita GDP for 1955-2000, collectively examining variables usually considered singly, e.g. interest rates, credit conditions, the stock market, oil prices and the yield gap, of which all, except the last, are found to matter....

This paper shows that the explanation of the decline in the volatility of GDP growth since the mid-eighties is not the decline in the volatility of exogenous shocks but rather a change in their propagation mechanism.

We examine real business cycle convergence for 41 euro area regions and 48 US states. Results obtained by a panel model with spatial correlation indicate that the relevance of common business cycle factors is rather stable over the past two decades in the euro area and the US. Ongoing business...

This paper presents experimental evidence from a monetary sticky price economy in which output and inflation depend on expected future inflation. With rational inflation expectations, the economy does not generate persistent deviations of output and inflation in response to a monetary shock. In...

This paper investigates the accuracy and heterogeneity of output growth and inflation forecasts during the current and the four preceding NBER-dated U.S. recessions. We generate forecasts from six different models of the U.S. economy and compare them to professional forecasts from the Federal...

Typical analyses of trends and cycles take as given some (one) observable economic variable in whose time path a researcher wishes to find trend and cycle movements. But individual sectors and regions in aggregate economies move neither perfectly with nor independently of each other -- why is it...

In this paper we argue that modelling the trend component in real GNP as a random walk is inconsistent with its interpretation as productivity growth. As an alternative we specify the trend as an Auto Regressive Integrated Moving Average (ARIMA) process, whose impulse response function follows...

Forecasting models for output are presented to throw light on monetary transmission. Recent research finds multistep forecasting superior to recursive forecasting from a VAR model when structural breaks are present; there are important political and policy regime breaks in South Africa. The...