Several time series investigations of global climate change have been published, but the time series properties of the variables has received little attention with a few exceptions in the case of global temperature series. We focus on the presence or absence of stochastic trends. We use three...

Global and hemispheric temperatures, greenhouse gas concentrations, solar irradiance, and anthropogenic sulfate aerosols all have increased during the last one hundred and fifty years. Classical linear regression techniques will indicate a positive relationship among such series whether or not...

The principal tools used to model future climate change are General Circulation Models which are deterministic high resolution bottom-up models of the global atmosphere-ocean system that require large amounts of supercomputer time to generate results. But are these models a cost-effective way of...

The economic incentives for conversion to pasture in Mato Grosso Brazil are investigated using pastureland rents. Pastureland rents are estimated from physical and geographic determinants, and verified by predicting the location of conversion to pasture between 2001 and 2004. Results indicate...

We extend the analysis of causal relations between trader positions and oil prices and the process of price discovery by estimating a cointegrating vector autoregression (CVAR) model that expands the cash-and-carry relation between spot and futures prices to quantify long- and short-run...

I hypothesize that the price spike and collapse of 2007-2008 are driven by both changes in both market fundamentals and speculative pressures. Contrary to arguments for a demand shock, I hypothesize that prices rise sharply in 2007-2008 because ongoing growth in Chinese oil demand runs into a...

We postulate a direct role for energy prices in the 2008 financial crisis. Rising energy prices constrain consumer budgets and thereby raise mortgage delinquency rates. This hypothesis is tested by estimating a quarterly cointegrating vector autoregressive (CVAR) model that seeks to quantify the...

We revisit statistical estimates for the relation between weather and energy consumption in Massachusetts using times series for heating degree hours that are calculated from hourly data with different set points and set backs. Using hourly values to calculate heating degree hours supports...

Although there is a general consensus that the market is unified, here we quantify the factors that create regions by analyzing the price relation between 33 crude oils. ADF statistics indicate that 447 of the 528 crude oil pairings cointegrate; 81 do not. The presence/absence of cointegration is...

We examine the relation among daily returns to crude oil prices, equity prices, and commodity markets by modifying previous efforts in two important ways; expanding the model to include the equity price for an oil-producing firm, ConocoPhillips, which ameliorates omitted variable bias and...