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Estimation of Short-Run and Long-Run Elasticities of Energy Demand From Panel Data Using Shrinkage Estimators

Bibliographic Data

ID19419288
AuthorsG S Maddala (The Ohio State University), Robert P Trost (George Washington University), Hongyi Li (0000-0002-4518-5315, Chinese University of Hong Kong), Frederick Joutz (George Washington University), Frederick L Joutz (George Washington University)
Year1997
Volume15
Issue1
Pages90-100
Publication date1997-01-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Business and Economic Statistics (JOURNAL)
Journal identifiersISSN: 0735-0015 • E-ISSN: 1537-2707
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/07350015.1997.10524691
OpenAlexW2052822845
LanguageEN
Citations received16
References cited21

This article discusses the problem of obtaining short-run and long-run elasticities of energy demand for each of 49 states in the United States using data for 21 years. Estimation using the time series data by each state gave several wrong signs for the coefficients. Estimation using pooled data was not valid because the hypothesis of homogeneity of the coefficients was rejected. Shrinkage estimators gave more reasonable results. The article presents in a unified framework the classical, empirical Bayes, and Bayes approaches for deriving these estimators

Bayes' theorem · Bayesian probability · Econometrics · Economics · Efficient estimator · Estimation · Estimator · Panel data · Shrinkage · Shrinkage estimator · Statistics · Economics of Agriculture and Food Markets · Energy, Environment, and Transportation Policies · Mathematics · Monetary Policy and Economic Impact

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Unique citing works16
Citations per year0,57
Citation span1998 - 2026 (29)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 15

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