The oil and gas industry's early 2000's fracking and horizontal drilling revolution realigned the industry and larger economies. This study uses New Growth Theory to evaluate innovation across an industry with various integrated but distinct upstream, midstream, and downstream units. Two issues...

Oil and gas company returns are compared between upstream, midstream, and down-stream sectors from 2000 through 2020. Crude oil, natural gas, and distillate returns reflect project risk, infrastructure, and conditions within the industry. Equity, commodity, and distillate markets positively...

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...

The effects of extreme weather events, such as heat waves and droughts, are taken into account in both global and European policies. Accordingly, the protection of critical infrastructures and in particular, the resilience of the energy sector was the subject of intense research. There are...

Oil and gas company returns are compared between upstream, midstream, and down-stream sectors from 2000 through 2020. Crude oil, natural gas, and distillate returns reflect project risk, infrastructure, and conditions within the industry. Equity, commodity, and distillate markets positively...

The effects of extreme weather events, such as heat waves and droughts, are taken into account in both global and European policies. Accordingly, the protection of critical infrastructures and in particular, the resilience of the energy sector was the subject of intense research. There are...

Politicians seeking reelection need voters to know what they have done for them. Thus, incentives may arise to spend more money where media coverage is higher. We present a simple model to explain the allocation of public spending across jurisdictions contingent on media activity. An incumbent...

This paper proposes a quantile regression estimator for a heterogeneous panel model with lagged dependent variables and interactive effects. The paper adopts the Common Correlated Effects (CCE) approach proposed by Pesaran (2006) and Chudik and Pesaran (2015) and demonstrates that the extension...

We analyse the drivers of European Power Exchange (EPEX) wholesale electricity prices between 2012 and early 2022 using machine learning. The agnostic random forest approach that we use is able to reduce in-sample root mean square errors (RMSEs) by around 50% when compared to a standard linear...

This paper investigates static and dynamic connectedness between the first and second moments of fossil and renewable energy stock indices in the last decade at the daily frequency. For this purpose the Diebold and Yilmaz (2014) methodology is applied; in addition, endogenous break tests are...