Showing 1 - 10 of 2,177
We analyse the drivers of European Power Exchange (EPEX) wholesale electricity prices between 2012 and early 2022 using … effects are key in wholesale electricity markets. Out-of- sample prediction errors using machine learning are (slightly) lower … green the energy matrix on wholesale electricity prices are first order. CO2 permit prices strongly impact electricity …
Persistent link: https://www.econbiz.de/10014081588
Electricity transmission redistributes environmental impacts across space. We exploit episodes of high electricity …. Reducing electricity system congestion decreases ozone and PM2.5 concentrations in New England and New York and increases them … in the western portions of the Pennsylvania-New Jersey-Maryland electricity market and much of the Midwestern states. We …
Persistent link: https://www.econbiz.de/10012825399
are on electricity-included property lease contracts causing them to face a marginal electricity price of zero. We use … electricity in response to summer temperature fluctuations. The result is retrieved under weaker identifying assumptions than … previous split incentives papers, and is robust when exposed to several opportunities to fail. The electricity reduction in …
Persistent link: https://www.econbiz.de/10012866313
This paper presents a generalized moments (GM) approach to estimating an R-th order spatial regressive process in a panel data error component model. We derive moment conditions to estimate the parameters of the higher order spatial regressive process and the optimal weighting matrix required to...
Persistent link: https://www.econbiz.de/10010264361
This paper develops an estimator for higher-order spatial autoregressive panel data error component models with spatial autoregressive disturbances, SARAR(R,S). We derive the moment conditions and optimal weighting matrix without distributional assumptions for a generalized moments (GM)...
Persistent link: https://www.econbiz.de/10010264566
This paper extends the transformed maximum likelihood approach for estimation of dynamic panel data models by Hsiao, Pesaran, and Tahmiscioglu (2002) to the case where the errors are cross-sectionally heteroskedastic. This extension is not trivial due to the incidental parameters problem that...
Persistent link: https://www.econbiz.de/10010283629
certain firms in the Colombian wholesale electricity market collapsed immediately after the announcement, and before the …
Persistent link: https://www.econbiz.de/10014357630
Proponents of Bitcoin argue that demand for electricity from Bitcoin miners can lead to an increase in renewable … electricity capacity. We rigorously evaluate this claim by estimating a Bitcoin electricity demand curve and include this demand … curve in a long-run model of the Texas electricity market. We find that while Bitcoin mining can indeed increase renewable …
Persistent link: https://www.econbiz.de/10014239209
This paper develops a pseudo-panel approach to examine household electricity demand behaviour through the household … evidence that the income elasticity of French residential electricity demand is 0.22, averaged over our four cohorts of … electricity consumption follows an inverted U-shaped distribution as a function of the age of the household's head. Most notably …
Persistent link: https://www.econbiz.de/10013250745
This paper builds on the work of Acemoglu et al. (2012) and considers a production network with unobserved common technological factor and establishes general conditions under which the network structure contributes to aggregate fluctuations. It introduces the notions of strongly and weakly...
Persistent link: https://www.econbiz.de/10011555583