represent an understudied channel for this type of social learning. We study an environmentally-focused law in the shale gas …

, endogenous learning here eliminates that effect …

a quality upgrade one of these inputs requires a period of learning before it can be used effectively, then in general … wasteful to tie up funds in the other inputs which will be underutilized until the date learning is over. We provide evidence …

We study social learning between spouses using an experiment in Chennai, India. We vary whether individuals discover … gender difference in learning (only) in the household …

How large are spatial barriers to transferring knowledge? We analyze the international operations of multinational … firms to answer this fundamental question. In our model firms can transfer bits of knowledge to their foreign affiliates in … either embodied (traded intermediates) or disembodied form (direct communication). Knowledge transfer costs interact with the …

Commercializing knowledge involves transfer from discovering scientists to those who will develop it commercially. New … opportunities if high. Hence new knowledge remains naturally excludable and appropriable. Team production allows more knowledge … capture of tacit, complex discoveries by firm scientists. A robust indicator of a firm's tacit knowledge capture (and strong …

The rate of regional growth of new knowledge in the field of nanotechnology, as measured by counts of articles and … stocks of recorded knowledge in all scientific fields, and the extent to which tacit knowledge in all fields flows between … patenting. The data provide further support for the cumulative advantage model of knowledge production, and for ongoing efforts …

learning between the first and the nth attempt while controlling for selection into retaking in terms of observed and … unobserved characteristics. We find large learning gains measured in terms of improvements in the exam scores, especially among …

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 …