Obersteiner, Michael (Institute for Advanced Studies) Wilk, Szymon (International Institute for Applied Systems Analysis)
Abstract
Empirical findings on determinants of long-term economic growth are numerous, sometimes inconsistent, highly exciting and still incomplete. The empirical analysis was almost exclusively carried out by standard econometrics. This study compares results gained by cross-country regressions as reported in the literature with those gained by the rough sets theory and rule induction. The main advantages of using rough sets are being able to classify classes and to discretize. Thus, we do not have to deal with distributional, independence, (log-)linearity, and many other assumptions, but can keep the data as they are. The main difference between regression results and rough sets is that most education and human capital indicators can be labeled as robust attributes. In addition, we find that political indicators enter in a non-linear fashion with respect to growth.
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Find related papers by JEL classification: C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies O40 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
Durlauf, Steven N. & Quah, Danny T., 1999.
"The new empirics of economic growth,"
Handbook of Macroeconomics,
in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 4, pages 235-308
Elsevier.
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