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The spatial distribution of human capital plays a fundamental role for regional differences in economic growth and welfare. This paper examines how individual ability indicated by the grade point average (GPA), from comprehensive school, affects the probability of migration among young university graduates in Sweden. Using detailed micro data available from the Swedish population registers, the study examines two cohorts of individuals who enrol in tertiary education. The results indicate that individual abilities reflected by the GPA are strongly influential when it comes to completing a university degree and for the migration decision after graduation. Moreover, there is a positive relationship between the GPA and the choice of migrating from regions with a relatively low tax base and a relatively small share of highly educated people in the population. Analogously, individuals with a high GPA tend to stay at a higher rate in more flourishing regions.

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Migration rates are highest among young adults, especially students, and their location choices affect the regional distribution of human capital, growth and local public sector budgets. Using Swedish register data on young adults, the choice of whether to enroll in education and the choice of location are estimated jointly. The results indicate a systematic selection into investment in further education based on school grades and associated preferences for locations with higher per capita tax bases. For students, the estimates indicate lower preferences for locations with higher shares of older people. The importance of family networks for the choice of location is confirmed.

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The importance and efficiency of backward reasoning in nonfuzzy reasoning has been stressed for a long time, especially in the case of expert systems and decision-support systems. The extension of this reasoning method to fuzzy theory, however, has never been considered. In this paper, we propose a definition of fuzzy backward reasoning based on the generalized modus ponens and show the necessity of considering intervalvalued fuzzy backward reasoning. Then, we propose solving methods for fuzzy backward reasoning in the case of a rule with one or several conditions as well as in the case of several rules.

In this paper, we investigate the impact on firms of the value added tax (VAT) reform that took effect in Sweden on 1 January 2012 for restaurant and catering services. Unlike previous research, we use a synthetic control group approach to construct our counterfactual. Our analysis shows that the VAT reduction had a positive effect on turnover, total wages, employment, profit margins, and net entry of firms. The effects of the reform tend to decrease over time. In all, the results point to an overall better performance for the restaurant industry compared with what it would have been in absence of the reform.

Although the engineering of automatic transmission is by now a mature field, gears do not always shiji properly under certain driving conditions. As a basis for a more human-friendly controller, we propose FATE: a fuzzy logic the gear shifr selection expert system.