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 …

We test if firms statistically discriminate workers based on race when employer learning is asymmetric. Using data from … the NLSY79, we find evidence of asymmetric employer learning. In addition, employers statistically discriminate against …

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 …

traditional marketplace. -- E-Commerce ; market substitution ; adverse selection ; efficient search and learning …

basic questions within that model. We review the empirical literature through the lens of the theory, using the theory to …

capture the evolving communication strategy of the Fed, I allow the learning rule and the structural shock variances to change … learning rule strongly but reduced the variance of transitory monetary policy shocks. The results caution against equating long …