We study optimal dynamic lockdowns against Covid-19 within a commuting network. Our framework integrates canonical spatial epidemiology and trade models, and is applied to cities with varying initial viral spread: Seoul, Daegu and NYC-Metro. Spatial lockdowns achieve substantially smaller income...

This paper examines the relative "sophistication" of China's exports to the United States along two dimensions. First, I compare China's export bundle to those of the relatively skill- and capital-abundant members of the OECD as well as to similarly endowed U.S. trading partners. Second, I...

This paper provides and describes concordances between the ten-digit Harmonized System (HS) categories used to classify products in U.S. international trade and the four-digit SIC and six-digit NAICS industries that cover the years 1989 to 2006. We also provide concordances between ten-digit HS...

We show that unexpected changes in the trajectory of COVID-19 infections predict US stock returns, in real time. Parameter estimates indicate that an unanticipated doubling (halving) of projected infections forecasts next-day decreases (increases) in aggregate US market value of 4 to 11 percent,...

This paper studies the role of insider trading in explaining cross-country differences in stock market volatility. It introduces a new measure of insider trading. The central finding is that countries with more prevalent insider trading have more volatile stock markets, even after one controls...

China's high corporate savings rate is commonly claimed to be a key driver for the country's large current account surplus. The mainstream explanation for high corporate savings is a combination of windfall profits in state-owned firms, especially in resource sectors, and mis-governance of...

This paper studies the role of insider trading in explaining cross-country differences in stock market volatility. The central finding is that countries with more prevalent insider trading have more volatile stock markets, even after one controls for liquidity/maturity of the market and the...

We study optimal dynamic lockdowns against Covid-19 within a commuting network. Our framework integrates canonical spatial epidemiology and trade models, and is applied to cities with varying initial viral spread: Seoul, Daegu and NYC-Metro. Spatial lockdowns achieve substantially smaller income...