Imalat Sanayi, Madencilik ve Tasocakçiligi ve Enerji Gaz ve Su Sektörlerine Ait ISIC Revize 2-Revize 3 Veri Siniflandirma Sistemlerine Iliskin dönüsüm oranlarinin Hesaplanmasi
(This paper is in Turkish) Long term data are important in terms of scientific researches that have economic and statistical applications have got meaningful results. But differences which occur in International Standard Industrial Classification (ISIC) system, especially for many variants, prevent long term data from being formed. In other words, because of revise-2 and revise-4 not having a complete harmony, data can not be used efficiently. Revise-3 system has been used in Turkey since 1993. Thus especially for sectoral based (4-dijit) studies, for example, a twenty-year series can not be owned. In other words, either data after the 1993 or those before 1993 can only be used. This prevents some economic realities being analyzed and some economic realities being learned. This study presents a proposal in solving this problem. By using eight and nine digit data in revise-2 and revise-3, four digit transformation ratios are calculated. The data sets that are used for this purpose are the production values that belong to manufacturing industry, mining and stone quarry and energy, oil and water sectors. By using obtained ratios a data set that is classified according to revise-2 (revise-3) could be transformed into revise-3 (revise-2).
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
Publisher Info
Paper provided by Ege University, Department of Economics in its series Working Papers with number
0706.
Find related papers by JEL classification: C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
This paper has been announced in the following NEP Reports: