This paper generalizes the popular stochastic volatility in mean model of Koopman and Hol Uspensky (2002) to allow for time-varying parameters in the conditional mean. The estimation of this extension is nontrival since the volatility appears in both the conditional mean and the conditional...

The business cycles of advanced economies are synchronized. Standard macro models fail to explain that fact. This paper presents a simple model of a two-country, two-traded-good, complete-financial-markets world in which country-specific productivity shocks generate business cycles that are...

We investigate the link between real exchange rates and sectoral total factor productivity measures for countries in the Eurozone. Real exchange rate patterns closely accord with an amended Balassa-Samuelson interpretation, both in cross-section and time series. We construct a sticky price...

We analyze the distributional consequences of uncertainty shocks in the U.S. economy at a business cycle frequency. Our findings reveal that uncertainty shocks have heterogeneous effects across income and wealth distribution. While their impact on income inequality appears marginal when measured...

The paper studies exchange rate implications of trend inflation within a two-country New Keynesian (NK) model under incomplete international financial markets. A NK Phillips curve generalized by trend inflation with a positive long-run mean implies an expectational difference equation of...

In this paper, we make use of the results from Structural Bayesian VARs taken from several studies for the euro area, which apply the idea of a shock-dependent Exchange Rate Pass-Through, drawing a comparison across models and also with respect to available DSGEs. On impact, the results are...

The deviance information criterion (DIC) has been widely used for Bayesian model comparison. In particular, a popular metric for comparing stochastic volatility models is the DIC based on the conditional likelihood — obtained by conditioning on the latent variables. However, some recent...

The asymptotic distributions of the recursive out-of-sample forecast accuracy test statistics depend on stochastic integrals of Brownian motion when the models under comparison are nested. This often complicates their implementation in practice because the computation of their asymptotic...

The deviance information criterion (DIC) has been widely used for Bayesian model comparison. However, recent studies have cautioned against the use of the DIC for comparing latent variable models. In particular, the DIC calculated using the conditional likelihood (obtained by conditioning on the...

Half-lives are summary measures of persistence, and are usually characterized from impulse response functions (IRFs) of univariate time series models. Two issues which occur with half-life characterization in multivariate time series are IRFs become conditional on specific shocks and are often...