The COVID-19-triggered collapse in oil prices in March and April 2020 was the seventh, and by far the most severe, in a series of such collapses since 1970. This paper, first, compares this most recent collapse and its drivers with previous ones in an event study. It finds that it was associated...

The outbreak of COVID-19 and the wide-ranging measures needed to slow its advance triggered an unprecedented collapse in oil demand, a surge in oil inventories, and a record one-month decline in oil prices in March 2020. This paper examines the likely implications of the 2020 oil price plunge...

This paper presents estimates of time-varying income elasticities of demand for energy and metal commodities. The analysis finds that the elasticities are close to unity, evaluated at world median per capita income levels. Furthermore, the estimates confirm that as income rises, demand growth...

Rapid growth among the major emerging markets over the past 20 years has boosted global demand for commodities. The seven largest emerging markets accounted for almost all the increase in global consumption of metals, and two-thirds of the increase in energy consumption over this period. As...

We employ a 10-variable dynamic structural general equilibrium model to forecast the US real house price index as well as its turning point in 2006:Q2. We also examine various Bayesian and classical time-series models in our forecasting exercise to compare to the dynamic stochastic general...

We implement several Bayesian and classical models to forecast housing prices in 20 US states. In addition to standard vector-autoregressive (VAR) and Bayesian Vector Autoregressive (BVAR) models, we also include the information content of 308 additional quarterly series in some models. Several...