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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/78476 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/78476 http://eprints.org/relation/isCoversheetVersionOf https://pure.iiasa.ac.at/id/document/78476 archive 351 disk0/00/00/54/79 2016-01-15 02:09:49 2021-08-27 17:16:18 2016-01-15 02:09:49 other show 1 Obersteiner M. 7255 0000-0001-6981-2769 Wilk S. 7711 pub iis_ecn iis_mod prog_for Economic growth, rough sets, rule induction 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 nonlinear fashion with respect to growth. 1999-09 published Transition Economic Series, No. 11, Institute for Advanced Studies XQ-99-814 Transition Economic Series, No. 11, Institute for Advanced Studies, Vienna, Austria, September [1998] TRUE 219 1664 public policy_report Vienna, Austria FALSE info:eu-repo/semantics/other