Bayesian inference requires an analyst to set priors. Setting the right prior is crucial for precise forecasts. This paper analyzes how optimal prior changes when an economy is hit by a recession. For this task, an autoregressive distributed lag model is chosen. The results show that a sharp...

We provide empirical evidence on the impact of oil supply shocks on global aggregates. To do this, we first extract structural oil supply shocks from a standard oil-price determination model found in the literature. Impulse response functions are then estimated using local projections. This...

Aggregate shocks in demand such as the burst of the 2001 dot-com bubble affect firms' behavior and, therefore, the market structure. This paper proposes a fully dynamic oligopoly model to evaluate the impact of aggregate demand shocks on entry and exit costs as well as on investment and labor...

The paper examines the processes underlying economic fluctuations by investigating the volatility moderation of U.S. economy in the early 1980's. We decompose the volatility decline using a dynamic factor framework into a common stochastic trend, common transitory component and idiosyncratic...

In this paper we develop a business cycle measure that can be shown to have excellent ex-ante forecasting properties for GDP growth. For identifying business cycle movements, we use a semantic approach. We infer nine different states of the economy directly from firms' responses in business...

In this paper we develop a business cycle measure that can be shown to have excellent ex-ante forecasting properties for GDP growth. For identifying business cycle movements, we use a semantic approach. We infer nine different states of the economy directly from firms' responses in business...

Four model selection methods are applied to the problem of predicting business cycle turning points: equally-weighted forecasts, Bayesian model averaged forecasts, and two models produced by the machine learning algorithm boosting. The model selection algorithms condition on different economic...

In an attempt to predict a peak in the U.S. economy using a classical statistical decision methodology and a Bayesian methodology and using the 1996 revised composite leading economic indicators, it is learned that the Bayesian models have generally outperformed the classical statistical ones...

Das Papier untersucht die Rolle von Frühindikatoren bei der Erstellung von Konjunkturprognosen. Gegenstand der Analyse sind die Fragen: Welche Kriterien sollten Frühindikatoren generell erfüllen bzw. was sollten Frühindikatoren leisten? Inwieweit erfüllen die gängigen Indikatoren diese...

This paper describes a methodology to estimate the coefficients, to test specification hypotheses and to conduct policy exercises in multi-country VAR models with cross unit interdependencies, unit specific dynamics and time variations in the coefficients. The framework of analysis is Bayesian:...