Little research attention has been paid to documenting and analyzing attempts of education systems moving quickly and at scale to provide online learning when all or many schools are closed. Related 'good practices' are considered rare, and on the whole, activities and initiatives of these sorts...

In many industries firms can learn about new technologies from other adopters; mandatory disclosure regulations represent an understudied channel for this type of social learning. We study an environmentally-focused law in the shale gas industry to examine firms' claims that disclosure...

This paper deals with processes that require several complementary inputs subject to improvements in quality. If after a quality upgrade one of these inputs requires a period of learning before it can be used effectively, then in general it will pay to purchase the inputs at different dates --...

We study an ambiguity-averse agent with uncertainty about income dynamics who chooses what aspects of the income process to learn about. The agent chooses to learn most about income dynamics at the very lowest frequencies, which have the greatest effect on utility. Deviations of consumption from...

This note analyzes the evolution of Credit Information Systems, including the emergence of new technologies that use alternative data in credit decisioning and the opportunities and risks associated with these trends. This paper also predicts the potential development effect of these disruptive...

The transition to a more innovation-based growth model is even more urgent in the current uncertain global context[1]. While the GDP growth rate has proven resilient in recent years, declining oil and gas output, coupled with economic shocks, including the recent COVID-19 pandemic, havedented...

Patent data have been widely used in research on technological innovation to characterize firms' locations as well as the proximities among firms in knowledge space. Researchers could measure proximity among firms with a variety of measures based on patent class data, including Euclidean...

This paper studies localization of academic and industrial knowledge spillovers. Using data on U.S. Research and Development laboratories, that quantify spatial aspects of learning about universities and firms as well as their locations, I find that academic spillovers are more localized than...

Using detailed data on biotechnology in Japan, we find that identifiable collaborations" between particular university star scientists and firms have a large positive impact on firms'" research productivity, increasing the average firm's biotech patents by 34 percent development by 27 percent,...

Following a breakthrough discovery, scientific knowledge with natural excludability may be best transferred to industry by the labor mobility of top scientists from universities and research institutes to firms. We model labor mobility as a function of scientist's quality (as measured by...