PROPOSED INDEX CALCULATION FOR ECONOMICS RANKING
Necati Alp Erilli
Faculty of Economic and Administrative Sciences,, Dept. of Econometrics, Turkey
DOI: https://doi.org/10.31410/Balkans.JETSS.2018.1.1.94-102
Necati Alp Erilli
Faculty of Economic and Administrative Sciences,, Dept. of Econometrics, Turkey
DOI: https://doi.org/10.31410/Balkans.JETSS.2018.1.1.94-102
Balkans Journal of Emerging Trends in Social Sciences, (2018) , Vol 1, No 1
ISSN: 2620-164X
ISSN: 2620-164X
Abstract: Index; is a display in which more than one variable is included and is used to measure the proportional variation of the movements of these variables. Indices are useful because they allow summarization and comparison by making the data simple. In this study; a new index calculation has been proposed with the help Fuzzy Clustering method. Calculation of Index prepared with 10 index values used in the literature. The indices are; Open Market, Budget Transparency, European 2020-Competitiveness, Economic Freedom (by Heritage Foundation), Economic Freedom (by Fraser Institute), Depth of credit information, Financial Stability, Trade Facilitation, Financial Inovation and Global competition. FCM Calculations are made with Matlab.2016 and other calculations are made with Microsoft Excel.2017 programmes.
There are variables which have different numbers and structures used in each index calculation. These variables have different weights within themselves. In this study, weights were calculated for the new index value which will be created by using the sequences created because of these indices. The weights of each index value obtained by the Fuzzy Clustering Analysis are multiplied by the index values to create a new index order.
European countries were re-ordered under the title “Economy”. It can interpret this new index order as a general summation of all other orders. Thus, the order of the countries under different subject headings will be calculated together with the orders in a specific area (economy, law etc.).
Keywords: Index Calculation, FCM, Economics
JEL Classifications C38 ∙ C43 ∙ C82
REFERENCES
There are variables which have different numbers and structures used in each index calculation. These variables have different weights within themselves. In this study, weights were calculated for the new index value which will be created by using the sequences created because of these indices. The weights of each index value obtained by the Fuzzy Clustering Analysis are multiplied by the index values to create a new index order.
European countries were re-ordered under the title “Economy”. It can interpret this new index order as a general summation of all other orders. Thus, the order of the countries under different subject headings will be calculated together with the orders in a specific area (economy, law etc.).
Keywords: Index Calculation, FCM, Economics
JEL Classifications C38 ∙ C43 ∙ C82
REFERENCES
- Balasko, B., Abonyi J., Feil B., (2005). Fuzzy Clustering and Data Analysis Toolbox. Univ. Of Veszprem, Hungary.
- Bezdek, J. C. (1974a). Cluster validity with fuzzy sets. J. Cybernetics 3, 58-73
- Bezdek, J. C. (1974b). Numerical Taxonomy with Fuzzy Sets. J. Math Biol. 1, 57-71
- Carlsson, F., Lundström, S. (2002). Economic Freedom and Growth: Decomposing the Effects. Public Choice, 112, 335-344.
- Erilli, N. A., Yolcu, U., Eğrioğlu, E., Aladağ, Ç.H., Öner, Y. (2011). Determining the Most Proper Number of Cluster in Fuzzy Clustering by Artificial Neural Networks. Expert Systems with Applications, 38, 2248-2252.
- Gwartney, J. G., Lawson, R. A., Holcombe, R. G. (1999). Economic Freedom and the Environment for Economic Growth. Journal of Institutional and Theoretical Economics, 155(4), 643-663.
- Harzing, A. W., Van der Wal, R. (2009). A Google Scholar h‐index for journals: An alternative metric to measure journal impact in economics and business. Journal of Asso. for Information Science and Technology, 60(1), 41-46.
- Lerman, R. I., Yitzhaki, S. (1984). A note on the calculation and interpretation of the Gini index. Economics Letters, 15(3–4), 363-368.
- Miller, T. Kim, A. B., (2015). Chapter 1: Principles of Economic Freedom, http://www.heritage.org/index/pdf/2015/book/chapter1.pdf
- Naes T., Mevik T. H., (1999). The Flexibility of Fuzzy Clustering Illustred By Examples, Journal Of Chemo Metrics.
- Oliveira, J. V., Pedrycz, W. (2007). Advances In Fuzzy Clustering And Its Applications, John Wiley & Sons Inc. Pub., West Sussex, England.
- Sintas, A. F., Cadenas, J.M., Martin, F. (1999). Membership functions in the Fuzzy c-Means Algorithm, Fuzzy Sets and Systems.
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