{"title":"Testing for integrated electricity series – A formalized synthesis of known problems","authors":"Nicolas Schneider","doi":"10.1016/j.tej.2023.107289","DOIUrl":null,"url":null,"abstract":"<div><p>This paper reviews and discusses methodological choices and statistical inferences relevant to the literature that has worked at identifying long-memory behaviours within the stochastic features of electricity series (consumption and prices). We argue that persisting divergences reported in this literature can be linked to the (non)-treatment of key identification challenges in time-series econometrics. We synthetized those problems in a formalized fashion focusing on the followings: presence of structural breaks in the series (<em>i</em>); inferences affecting panel data structure such as cross-sectional dependence among the series, heterogeneous slope coefficients as well as the problem of missing observations (<em>ii</em>); the issue of integrated time-series observed with noise and some implications for cointegrated relations (<em>iii</em>).</p></div>","PeriodicalId":35642,"journal":{"name":"Electricity Journal","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electricity Journal","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1040619023000568","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0
Abstract
This paper reviews and discusses methodological choices and statistical inferences relevant to the literature that has worked at identifying long-memory behaviours within the stochastic features of electricity series (consumption and prices). We argue that persisting divergences reported in this literature can be linked to the (non)-treatment of key identification challenges in time-series econometrics. We synthetized those problems in a formalized fashion focusing on the followings: presence of structural breaks in the series (i); inferences affecting panel data structure such as cross-sectional dependence among the series, heterogeneous slope coefficients as well as the problem of missing observations (ii); the issue of integrated time-series observed with noise and some implications for cointegrated relations (iii).
Electricity JournalBusiness, Management and Accounting-Business and International Management
CiteScore
5.80
自引率
0.00%
发文量
95
审稿时长
31 days
期刊介绍:
The Electricity Journal is the leading journal in electric power policy. The journal deals primarily with fuel diversity and the energy mix needed for optimal energy market performance, and therefore covers the full spectrum of energy, from coal, nuclear, natural gas and oil, to renewable energy sources including hydro, solar, geothermal and wind power. Recently, the journal has been publishing in emerging areas including energy storage, microgrid strategies, dynamic pricing, cyber security, climate change, cap and trade, distributed generation, net metering, transmission and generation market dynamics. The Electricity Journal aims to bring together the most thoughtful and influential thinkers globally from across industry, practitioners, government, policymakers and academia. The Editorial Advisory Board is comprised of electric industry thought leaders who have served as regulators, consultants, litigators, and market advocates. Their collective experience helps ensure that the most relevant and thought-provoking issues are presented to our readers, and helps navigate the emerging shape and design of the electricity/energy industry.