Contemporary structural models of the global market for crude oil treat storage demand as a composite of precautionary responses to uncertainty and speculative behavior, due to difficulties in jointly identifying these distinct demand components. This difficulty arises because the underlying...

A review of the literature indicates a decreasing long-run elasticity of substitution between clean and dirty inputs as the share of clean inputs rises. In the power sector, which is the largest contributor to greenhouse gas emissions, integrating intermittent clean energy supply becomes...

After years of general progress in reducing Australia's road death toll, road deaths increased in 2015 and 2016, reaching 1,293 per annum. These were also years of relatively cheap fuel following the dramatic decline in the world oil price in late 2014. This study uses monthly data to model the...

Do inflation expectations and the associated pass-through of oil price shocks depend on demand and supply conditions underlying the global market for crude oil? We answer this question with a novel structural vector autoregressive model of the global oil market that jointly identifies...

This paper introduces residual shape risk as a new subclass of energy commodity risk. Residual shape risk is caused by insufficient liquidity of energy forward market when retail energy supplier has to hedge his short sales by a non-flexible standard baseload product available on wholesale...

We compare a number of GARCH and stochastic volatility (SV) models using nine series of oil, petroleum product and natural gas prices in a formal Bayesian model comparison exercise. The competing models include the standard models of GARCH(1,1) and SV with an AR(1) log-volatility process and...

Recent years have seen a spike in New Zealand's road death toll, a phenomenon also seen in some other countries such as Australia. This paper analyses the short-run impact of fuel prices on road accident outcomes in New Zealand, including the numbers of road deaths, accidents, and injuries....

In this paper we employ a dataset of three dimensions - state, sector, and year - to estimate the short- and long-run price elasticities of state-level electricity demand in the United States. Our sample covers the period 2003-2015. We contribute to the literature by employing instrumental...

Understanding how traffic flows respond to fuel price changes is useful for traffic management. This study uses a dataset of 11.9 million hourly observations from 118 traffic count stations over 2010–2017 to investigate the relationship between the gasoline price and traffic flows in the state...

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...