The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Estimation of Short-Run and Long-Run Elasticities of Energy Demand From Panel Data Using Shrinkage Estimators
Abstract
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.
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Citations
Cites
Hsiao, C. (2014) · doi:10.1017/cbo9781139839327 · Cited by 7,869
Estimating long-run relationships from dynamic heterogeneous panels
Pesaran, M. H., & Smith, R. (1995) · Journal of Econometrics · doi:10.1016/0304-4076(94)01644-f · Cited by 5,479
Regression, Prediction and Shrinkage
Copas, J. B. (1983) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1983.tb01258.x · Cited by 612
Cited by
Baltagi, B. H. (2008) · Journal of Forecasting · doi:10.1002/for.1047 · Cited by 574
The dynamic links between CO2 emissions, economic growth and coal consumption in China and India
Chandran Govindaraju, V. G. R., & Tang, C. F. (2013) · Applied Energy · doi:10.1016/j.apenergy.2012.10.042 · Cited by 498
Residential consumption of gas and electricity in the U.S.: The role of prices and income
Alberini, A., Gans, W., & Velez-Lopez, D. (2011) · Energy Economics · doi:10.1016/j.eneco.2011.01.015 · Cited by 379
Narayan, P. K., & Smyth, R. (2005) · Energy Policy · doi:10.1016/j.enpol.2003.08.011 · Cited by 306
Identifying Latent Structures in Panel Data
Su, L., Shi, Z., & Phillips, P. C. B. (2016) · Econometrica · doi:10.3982/ecta12560 · Cited by 265
Metadata
- Authors
- Maddala, G. S., Trost, R. P., Li, H., & Joutz, F.
- Venue
- Journal of Business & Economic Statistics
- Publisher
- Informa UK Limited
- Published
- 1997-01
- Volume
- 15
- Issue
- 1
- Pages
- 90-100
- ISSN
- 0735-0015 (ISSN-L)
- 1537-2707
- OpenAlex
- W2052822845
- Cited by
- 282
- References
- 3
- FWCI
- 5.62
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Maddala, G. S., Trost, R. P., Li, H., & Joutz, F. (1997). Estimation of Short-Run and Long-Run Elasticities of Energy Demand From Panel Data Using Shrinkage Estimators. Journal of Business & Economic Statistics. https://doi.org/10.1080/07350015.1997.10524691
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
