This paper introduces a Markov-switching model in which transition probabilities depend on higher frequency indicators and their lags through polynomial weighting schemes. The MSV-MIDAS model is estimated via maximum likelihood (ML) methods. The estimation relies on a slightly modified version...

We analyze business cycle movements and synchronization in the European Union (EU) for all members. We show that both the estimated output gaps and the level of synchronization depend on the statistical measures used by the researcher. To account for this, we employ a large set of output gaps,...

We investigate an impact of oil-price shocks on GDP and exchange rate dynamics in resource-heterogeneous economies. We employ a Markov regime-switching version of a vector autoregressive (VAR) model to allow for regime shifts, non-linear effects and timevarying parameters of the VAR process....

We propose a method to incorporate information from Dynamic Stochastic General Equilibrium (DSGE) models into Dynamic Factor Analysis. The method combines a procedure previously applied for Bayesian Vector Autoregressions and a Gibbs Sampling approach for Dynamic Factor Models. The factors in...

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...

Although oil price shocks have long been viewed as one of the leading candidates for explaining U.S. recessions, surprisingly little is known about the extent to which oil price shocks explain recessions. We provide a formal analysis of this question with special attention to the possible role...

This paper aims to shed light on the importance of health considerations for business cycle fluctuations and the effect of health status on labour productivity and availability of labour input for productive use. To this end, Grossman's (2000) partial‐equilibrium framework with endogenous...

Typically real-business-cycle models are assessed by their ability to mimic the covariances and variances of actual business cycle data. Recently, however, advocates of RBC models have used them to fit the historical path of real GDP using the Solow residual as a driving process. We demonstrate...

We hope to model financial fragility and money in a way that captures much of what is crucial in Hyman Minsky's financial fragility hypothesis. This approach to modeling Minsky may be unique in the formal Minskyan literature. Namely, we adopt a model in which a psychological variable we call...

This paper develops a simple model with collateralized borrowing constraints to explore the business cycle implications of financial leverage. The degree of leverage is shown to be an important factor in the amplifying role of collateral constraints, suggesting that the financial vulnerability...