Semiparametric Estimation and Testing of The Trend of Temperature Series  

Oleh:

Hawthorne, Kim ; Jiti, Gao

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: The Econometrics Journal vol. 9 no. 2 (2006), page 332-355.
Topik: temperature; non parametric kernel; semiparametric estimation; specification testing; trend determination
Fulltext: 332.pdf (302.72KB)

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: EE39.2 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

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.

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