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multi-period forecasting model that is estimated under both adaptive learning and rational expectations. Term structure … neglected in the adaptive learning literature. Relative to the rational expectations version, our estimated DSGE model under … adaptive learning largely improves the model fit to the data, which include not just macroeconomic data but also the yield …
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Many international comparisons of education over the past 50 years have included some measure of students’ opportunity to learn (OTL) in their schooling. Results have typically confirmed the common sense notion that a student’s exposure in school to the assessed concepts, operationalized in...
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Learning or experience curves are widely used to estimate cost functions in manufacturing modeling. They have recently … shows that there is a fundamental statistical identification problem in trying to separate learning from exogenous … technological change and that the estimated learning coefficient will generally be biased upwards. Second, we present two empirical …
Persistent link: https://www.econbiz.de/10012758017
Learning or experience curves are widely used to estimate cost functions in manufacturing modeling. They have recently … shows that there is a fundamental statistical identification problem in trying to separate learning from exogenous … technological change and that the estimated learning coefficient will generally be biased upwards. Second, we present two empirical …
Persistent link: https://www.econbiz.de/10012464011
Learning or experience curves are widely used to estimate cost functions in manufacturing modeling. They have recently … shows that there is a fundamental statistical identification problem in trying to separate learning from exogenous … technological change and that the estimated learning coefficient will generally be biased upwards. Second, we present two empirical …
Persistent link: https://www.econbiz.de/10014211678
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