Departing from previous literature, using bootstrapped autoregressive metric causality approach which is more robust against non-stationarity and break problems than lag augmented tests, this study analyzes causal relation between economic growth and energy consumption in the Next 11 countries....

This paper examines the causal relationship between economic growth and electricity generation from renewable sources (biomass, geothermal, hydroelectric, solar, waste, and wind) across 20 OECD countries over 1990 to 2008. The results from a commonly used panel error correction model find (a) a...

The goals of this paper are to 1) simulate the ex-ante riskiness of purchasing a TCC, and 2) evaluate the efficiency of the TCC market in New York State to determine if there is evidence of under-pricing. Three VAR models are estimated using only market data available before the auction. This...

We examine the impacts of energy price shocks on U.S. agricultural productivity growth and commodity prices' volatility by developing a structural VAR model. We use historical annual data of real U.S. gasoline prices, agricultural total factor productivity (TFP), real GDP, real agricultural...

This paper examines the relationship between financial development, CO2 emissions, trade and economic growth using simultaneous-equation panel data models for a panel of 12 MENA countries over the period 1990–2011. Our results indicate that there is evidence of bidirectional causality between...

The aim of this study is to investigate the long-run and causal relationships between renewable and non-renewable energy consumption and economic growth by using classical and augmented production functions, and making a comparison between renewable and non-renewable energy sources in order to...

This paper examines the impact of different types of oil price shocks on the U.S. economy, using a factor-augmented VAR (FAVAR) approach. The results indicate that when examining the effects of oil price shocks, it is important to account for the interaction between the oil market and the...

We analyze a sample of 64 oil and gas companies of the nonrenewable energy sector from 24 countries using daily observations on return on stock from July 15, 2003 to August 14, 2012.

This paper studies whether the commonly used linear parametric model for estimating aggregate energy demand is the correct functional specification for the data generating process. Parametric and nonparametric econometric approaches to analyzing aggregate energy demand data for 17 OECD countries...

The rapidly growing literature on the relationship between energy consumption and economic growth has not univocally identified the causal relationship yet. We argue that bivariate models, which analyze the causality only at the macro level, are eventually misleading, especially in cases where...