Regression model error assumptions are essential to estimator properties. Least squares model parameters are consistent and efficient when the underlying error terms are normally distributed but yield inefficient estimators when errors are not normally distributed. Partially adaptive and...

Oil and gas exploration companies (E&Ps) exhibit large variations in earnings due to volatile oil and gas prices. Furthermore, their primary asset, oil and gas reserves, is accumulated through highly risky exploration activities. In contrast, integrated oil and gas companies display lower...

This research study aims to examine the impact of sustainability on firm performance and analyze how vertical integration moderates the connection between performance and sustainability in the oil and gas sector. We analyzed a sample dataset of oil and gas companies from the top ten...

This paper studies financial statement information from the 50 largest international oil and gas companies during 1992 to 2011 and evaluates their relation to market values. In particular, we examine how this relationship is affected by accounting method choice (successful efforts versus full...

The oil and gas operations industry is an important part of the history and economy of Elk, Forest, McKean, and Warren counties in Pennsylvania. Operations include extraction, drilling, and support activities. The industry creates jobs and compensation for workers throughout these counties and...

The oil and gas well drilling industry is an important part of the history and economy of Elk, Forest, McKean, and Warren counties in Pennsylvania. The industry creates jobs and compensation for workers throughout these counties and influences tax revenues in the counties

We investigate the effect of technology adoption on competition by leveraging a unique dataset on production, costs, and asset characteristics for North Sea upstream oil & gas companies. Relying on heterogeneity in the geological suitability of fields and a landmark decision of the Norwegian...