On the Performance of the United States Nuclear Power Sector : A Bayesian Approach

In this paper we pursue a novel application of Bayesian empirical likelihood methods to estimate the canonical stochastic frontier model. We utilize this new framework to study technical efficiency, scale economies and technological change in the United States nuclear energy generation sector. We find decreasing scale economies, a fact consistent with the recent decline of the industry. Our results suggest that micro nuclear reactors may benefit the sector as a whole

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Year of publication:	[2022]
Authors:	Bernstein, David H. ; Parmeter, Christopher F. ; Tsionas, Efthymios G.
Publisher:	[S.l.] : SSRN
Subject:	USA \| United States \| Kernenergie \| Nuclear energy \| Elektrizitätswirtschaft \| Electric power industry \| Energiewirtschaft \| Energy sector \| Bayes-Statistik \| Bayesian inference \| Kernkraftwerk \| Nuclear power plant \| Kernenergiepolitik \| Nuclear energy policy

Extent:	1 Online-Ressource (32 p)
Type of publication:	Book / Working Paper
Language:	English
Other identifiers:	10.2139/ssrn.4111946 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10013288829