Semiparametric estimation and testing of the trend of temperature series
Abstract
The application of a partially linear model to global and hemispheric temperature series is proposed. Partially linear modelling allows the trend to take a very general form rather than imposing the restriction of linearity seen in existing studies. The removal of the linearity restriction is based on the fact that it is well accepted that a significant trend is present in global temperature series. The model will allow for the data to "speak for themselves" with regard to the form of the trend. The results initially reveal that a linear trend does not approximate well the behaviour of global or hemispheric temperature series. This is further confirmed through a formal testing procedure. Copyright Royal Economic Society 2006Download Info
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Bibliographic Info
Article provided by Royal Economic Society in its journal Econometrics Journal.
Volume (Year): 9 (2006)
Issue (Month): 2 (07)
Pages: 332-355
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Web page: http://www.res.org.uk/
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Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Jia Chen & Jiti Gao & Degui Li, 2011.
"Semiparametric Trending Panel Data Models with Cross-Sectional Dependence,"
Monash Econometrics and Business Statistics Working Papers
15/11, Monash University, Department of Econometrics and Business Statistics.
- Chen, Jia & Gao, Jiti & Li, Degui, 2012. "Semiparametric trending panel data models with cross-sectional dependence," Journal of Econometrics, Elsevier, vol. 171(1), pages 71-85.
- Jia Chen & Jiti Gao & Degui Li, 2010. "Semiparametric Trending Panel Data Models with Cross-Sectional Dependence," School of Economics Working Papers 2010-10, University of Adelaide, School of Economics.
- Atak, Alev & Linton, Oliver B. & Xiao, Zhijie, 2010.
"A Semiparametric Panel Model for Unbalanced Data with Application to Climate Change in the United Kingdom,"
MPRA Paper
22079, University Library of Munich, Germany.
- Atak, Alev & Linton, Oliver & Xiao, Zhijie, 2011. "A semiparametric panel model for unbalanced data with application to climate change in the United Kingdom," Journal of Econometrics, Elsevier, vol. 164(1), pages 92-115, September.
- Alev Atak & Oliver Linton & Zhijie Xiao, 2010. "A Semiparametric Panel Model for unbalanced data with Application to Climate Change in the United Kingdom," Boston College Working Papers in Economics 762, Boston College Department of Economics.
- Patrick Saart & Jiti Gao, 2012. "Semiparametric Methods in Nonlinear Time Series Analysis: A Selective Review," Monash Econometrics and Business Statistics Working Papers 21/12, Monash University, Department of Econometrics and Business Statistics.
- Yonghui Zhang & Liangjun Su & Peter C.B. Phillips, 2011.
"Testing for Common Trends in Semiparametric Panel Data Models with Fixed Effects,"
Cowles Foundation Discussion Papers
1832, Cowles Foundation for Research in Economics, Yale University.
- Yonghui Zhang & Liangjun Su & Peter C. B. Phillips, 2012. "Testing for common trends in semiāparametric panel data models with fixed effects," Econometrics Journal, Royal Economic Society, vol. 15(1), pages 56-100, 02.
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