3 resultados para skill-biased technical change

em University of Connecticut - USA


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We examine the effects of technology on productivity growth by disaggregating total output into sectoral components, exploring the roles of investment and technology on productivity growth for countries in different income groups. We find that for low-income countries, investment is the most important determinant of productivity growth. While investment plays an important role in determining productivity growth in middle-income countries, additional effects resulting from technological change also emerge. Investment ceases to have a significant effect on productivity growth in high-income countries.

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In this paper we introduce technical efficiency via the intercept that evolve over time as a AR(1) process in a stochastic frontier (SF) framework in a panel data framework. Following are the distinguishing features of the model. First, the model is dynamic in nature. Second, it can separate technical inefficiency from fixed firm-specific effects which are not part of inefficiency. Third, the model allows one to estimate technical change separate from change in technical efficiency. We propose the ML method to estimate the parameters of the model. Finally, we derive expressions to calculate/predict technical inefficiency (efficiency).

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The claim that the common law displays an economic logic is a centerpiece of the positive economic theory of law. A key question in this literature is whether this outcome is due to the conscious efforts of judges, or the result of invisible hand processes. This paper develops a model in which to two effects combine to determine the direction of legal change. The main conclusions are, first, that judicial bias can prevent the law from evolving toward efficiency if the fraction of judges biased against the efficient rule is large enough; and second, that precedent affects the rate of legal change but not its direction.