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The advancement of the knowledge frontier is crucial for technological innovation and human progress. Using novel data from the setting of mathematics, this paper establishes two results. First, we document that individuals who demonstrate exceptional talent in their teenage years have an irreplaceable ability to create new ideas over their lifetime, suggesting that talent is a central ingredient in the production of knowledge. Second, such talented individuals born in low- or middle-income countries are systematically less likely to become knowledge producers. Our findings suggest that policies to encourage exceptionally-talented youth to pursue scientific careers—especially those from lower income countries—could accelerate the advancement of the knowledge frontier.

Knowledge management. --- Management of knowledge assets --- Management --- Information technology --- Intellectual capital --- Organizational learning --- Investments: Metals --- Macroeconomics --- Taxation --- Education and Economic Development --- Human Capital --- Skills --- Occupational Choice --- Labor Productivity --- Personal Income, Wealth, and Their Distributions --- Metals and Metal Products --- Cement --- Glass --- Ceramics --- Education: General --- Taxation, Subsidies, and Revenue: General --- Investment & securities --- Education --- Public finance & taxation --- Personal income --- Gold --- Silver --- Tax incentives --- National accounts --- Commodities --- Income --- France

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To examine the drivers of innovation, this paper studies the global R&D effort to fight the deadliest diseases and presents four results. We find: (1) global pharmaceutical R&D activity—measured by clinical trials—typically follows the ‘law of diminishing effort’: i.e. the elasticity of R&D effort with respect to market size is about ½ in the cross-section of diseases; (2) the R&D response to COVID-19 has been a major exception to this law, with the number of COVID-19 trials being 7 to 20 times greater than that implied by its market size; (3) the aggregate short-term elasticity of science and innovation can be very large, as demonstrated by aggregate flow of clinical trials increasing by 38% in 2020, with limited crowding out of trials for non-COVID diseases; and (4) public institutions and government-led incentives were a key driver of the COVID-19 R&D effort—with public research institutions accounting for 70 percent of all COVID-19 clinical trials globally and being 10 percentage points more likely to conduct a COVID-19 trial relative to private firms. Overall, while economists are naturally in favor of market size as a driving force for innovation (i.e.“if the market size is sufficiently large then innovation will happen”), our work suggests that scaling up global innovation may require a broader perspective on the drivers of innovation—including early-stage incentives, non-monetary incentives, and public institutions.

Macroeconomics --- Economics: General --- International Economics --- Foreign Exchange --- Informal Economy --- Underground Econom --- Economic & financial crises & disasters --- Economics of specific sectors --- Financial crises --- Economic sectors --- Currency crises --- Informal sector --- Economics

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To examine the drivers of innovation, this paper studies the global R&D effort to fight the deadliest diseases and presents four results. We find: (1) global pharmaceutical R&D activity—measured by clinical trials—typically follows the ‘law of diminishing effort’: i.e. the elasticity of R&D effort with respect to market size is about ½ in the cross-section of diseases; (2) the R&D response to COVID-19 has been a major exception to this law, with the number of COVID-19 trials being 7 to 20 times greater than that implied by its market size; (3) the aggregate short-term elasticity of science and innovation can be very large, as demonstrated by aggregate flow of clinical trials increasing by 38% in 2020, with limited crowding out of trials for non-COVID diseases; and (4) public institutions and government-led incentives were a key driver of the COVID-19 R&D effort—with public research institutions accounting for 70 percent of all COVID-19 clinical trials globally and being 10 percentage points more likely to conduct a COVID-19 trial relative to private firms. Overall, while economists are naturally in favor of market size as a driving force for innovation (i.e.“if the market size is sufficiently large then innovation will happen”), our work suggests that scaling up global innovation may require a broader perspective on the drivers of innovation—including early-stage incentives, non-monetary incentives, and public institutions.

Macroeconomics --- Economics: General --- International Economics --- Foreign Exchange --- Informal Economy --- Underground Econom --- Economic & financial crises & disasters --- Economics of specific sectors --- Financial crises --- Economic sectors --- Currency crises --- Informal sector --- Economics

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This paper studies the impact of U.S. immigration barriers on global knowledge production. We present four key findings. First, among Nobel Prize winners and Fields Medalists, migrants to the U.S. play a central role in the global knowledge network—representing 20-33% of the frontier knowledge producers. Second, using novel survey data and hand-curated life-histories of International Math Olympiad (IMO) medalists, we show that migrants to the U.S. are up to six times more productive than migrants to other countries—even after accounting for talent during one’s teenage years. Third, financing costs are a key factor preventing foreign talent from migrating abroad to pursue their dream careers, particularly for talent from developing countries. Fourth, certain ‘push’ incentives that reduce immigration barriers—by addressing financing constraints for top foreign talent—could increase the global scientific output of future cohorts by 42 percent. We concludeby discussing policy options for the U.S. and the global scientific community.

Macroeconomics --- Production and Operations Management --- Environmental Policy --- Emigration and Immigration --- Technological Change: Choices and Consequences --- Diffusion Processes --- Technological Change: Government Policy --- International Migration --- Geographic Labor Mobility --- Immigrant Workers --- Macroeconomics: Production --- Education: General --- Aggregate Factor Income Distribution --- Environmental Economics: Government Policy --- Migration, immigration & emigration --- Education --- Environmental policy & protocols --- Migration --- Productivity --- Income --- Climate policy --- Population and demographics --- Production --- National accounts --- Emigration and immigration --- Industrial productivity --- Environmental policy --- United States --- Emigration and immigration. --- Macroeconomics. --- Production and Operations Management. --- Environmental Policy. --- Emigration and Immigration. --- Technological Change: Choices and Consequences. --- Diffusion Processes. --- Technological Change: Government Policy. --- International Migration. --- Geographic Labor Mobility. --- Immigrant Workers. --- Macroeconomics: Production. --- Education: General. --- Aggregate Factor Income Distribution. --- Environmental Economics: Government Policy. --- Migration, immigration & emigration. --- Education. --- Environmental policy & protocols. --- Migration. --- Productivity. --- Income. --- Climate policy. --- Population and demographics. --- Production. --- National accounts. --- Industrial productivity. --- United States.

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Choices are frequently made from lists where there is by necessity some ordering of options. In such situations individuals can exhibit both primacy bias towards the first option and recency bias towards the last option. We examine this phenomenon in a particularly interesting context: consumer response to the ordering of economics papers in an email announcement issued by the National Bureau of Economic Research (NBER). Each Monday morning Eastern Standard Time (EST) the NBER issues a "New This Week" (NTW) email that lists all of the working papers that have been issued in the past week. This email goes to more than 23,000 subscribers, both inside and outside academia, and the placement order is based on random factors. We show that despite the randomized list placement, papers that are listed first each week are about 30% more likely to be viewed, downloaded, and cited over the next two years. Lower ranking on the list leads to fewer views and downloads, but not cites; however, there is also some recency bias, with the last paper listed receiving more views, downloads and cites. The results are robust to a wide variety of specification checks and are present for both all viewers/downloaders, and for academic institutions in particular. These results suggest that even among expert searchers, list-based searches can be manipulated by list placement.

Zonder onderwerpscode: economie