A semiparametric panel model for unbalanced data with application to climate change in the United Kingdom

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2011-09-01

Author

Atak Atalık, Alev
Xiao, Zhijie

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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This paper is concerned with developing a semiparametric panel model to explain the trend in UK temperatures and other weather outcomes over the last century. We work with the monthly averaged maximum and minimum temperatures observed at the twenty six Meteorological Office stations. The data is an unbalanced panel. We allow the trend to evolve in a nonparametric way so that we obtain a fuller picture of the evolution of common temperature in the medium timescale. Profile likelihood estimators (PLE) are proposed and their statistical properties are studied. The proposed PLE has improved asymptotic property comparing the sequential two-step estimators. Finally, forecasting based on the proposed model is studied. (C) 2011 Elsevier B.V. All rights reserved.

URI

https://hdl.handle.net/11511/93765

Journal

JOURNAL OF ECONOMETRICS

DOI

https://doi.org/10.1016/j.jeconom.2011.02.008

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Department of Economics, Article

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Citation Formats

A. Atak Atalık and Z. Xiao, “A semiparametric panel model for unbalanced data with application to climate change in the United Kingdom,” JOURNAL OF ECONOMETRICS, vol. 164, no. 1, pp. 92–115, 2011, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/93765.