An enduring puzzle regarding technology adoption in developing countries is that new technologies often diffuse slowly through the social network. Two of the key predictions of the canonical epidemiological model of technology diffusion are that forums to share information and higher returns to...

Many countries subsidize agricultural inputs but require farmers to travel to retailers to access inputs, just as for normal purchases. What effect do travel costs have on subsidy take-up and input usage, particularly for remote farmers? We analyze Malawi's Farm Input Subsidy Program (FISP), and...

This paper uses a large language model to develop an ex-ante measure of the commercial potential of scientific findings. In addition to validating the measure against the typical holdout sample, we validate it externally against 1.) the progression of scientific findings through a major...

The expansion in farm size is an important contributor to agricultural productivity in developed countries, but the reallocation process is hindered in less developed economies. How do distortions to factor reallocation affect farm dynamics and agricultural productivity? We develop a model of...

Crop farmers have few short-run options for reducing downside production risk from changes in drought frequency and intensity due to ongoing climate change. However, one recently available option is drought-tolerant (DT) varieties. We determine how recent drought exposure, drought risk, and...

Agricultural extension programs often train a few farmers and count on diffusion through social networks for the innovation to spread. However, if markets are imperfectly integrated, this may also inflict negative externalities. In a two-step experiment of an agronomy training program among...

This paper surveys the relevant existing literature that can help researchers and policy makers understand the drivers of competition in markets that constitute the provision of artificial intelligence products. The focus is on three broad markets: training data, input data, and AI predictions....

Do stronger intellectual property rights incentivize female participation in innovation? We provide new evidence on this question using a unique database of artificial intelligence patents publicly shared by the USPTO. Our identification strategy leverages China's WTO TRIPs accession, which led...

We use data from the Annual Survey of Manufactures to study the characteristics and geography of investments in robots across U.S. manufacturing establishments. We find that robotics adoption and robot intensity (the number of robots per employee) is much more strongly related to establishment...

This chapter reviews the data and literature on gender, race and ethnicity differences in research funding in the United States and Europe. The gender gap in research funding has closed at the National Science Foundation and National Institutes of Health in the United States and substantially...