Long-term data are very important in that scientific researches that have economic and statistical applications arrive at meaningful results. However, especially the differences which occur in the International Standard Industrial Classification (ISIC) system prevent long-term data from being gathered for many variables in particular. In other words, because Revise-2 and Revise-4 classification systems do not have a complete harmony, data can not be used efficiently. Revise-3 system has been used in Turkey since 1993. Therefore, a twenty-year series, for example, can not be obtained for sector-based (four-digit) studies in particular. In other words, the data either after or before 1993 can be used. This case prevents some economic realities being analyzed and other 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 systems, four-digit transformation ratios are calculated. The data sets that are used for this purpose are the production values that belong to the manufacturing industry, mining and stone quarry and energy, oil and water sectors. By using the obtained ratios, a data set that is classified according to revise-2 (revise-3) could be transformed into revise-3 (revise-2).
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Paper provided by Ege University, Department of Economics in its series Working Papers with number
0808.
Find related papers by JEL classification: L5 - Industrial Organization - - Regulation and Industrial Policy P2 - Economic Systems - - Socialist Systems and Transition Economies C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
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