We estimate the long-term effect of public R&D on growth in manufacturing by analyzing new data from the Cold War era Space Race. We develop a novel empirical strategy that leverages US-Soviet rivalry in space technology to isolate windfall R&D spending. Our results demonstrate that public R&D...

Since 1980, US wage growth has been fastest in large cities. Empirically, we show that most of this urban-biased growth reflects wage growth at large Business Services firms, which are also the most intensive users of information and communications technology (ICT) capital in the US economy. We...

We examine the recent literature that studies the spatial distribution of economic activity across both space and time. We discuss the methodological advances enabling the incorporation of dynamic forces of economic activity--such as endogenous innovation, forward-looking location choices,...

Count data regressions are an important tool for empirical analyses ranging from analyses of patent counts to measures of health and unemployment. Along with negative binomial, Poisson panel regressions are a preferred method of analysis because the Poisson conditional fixed effects maximum...

Empirical researchers often have to map data provided for a "reporting" spatial unit, say counties in 1900, to a "reference" one, say, counties in 2010. We discuss a general method to create such crosswalks: computing the share of the area of each reporting unit nested in a given reference unit....

We develop a framework to estimate the economic value of a recent zoning reform in the city of Sao Paulo, which altered maximum permitted construction at the city-block level. Using a spatial regression discontinuity design, we find that developers file for more multi-family construction permits...

We introduce a new methodology to detect and measure economic activity using geospatial data and apply it to steel production, a major industrial pollution source worldwide. Combining plant output data with geospatial data, such as ambient air pollutants, nighttime lights, and temperature, we...

In applied historical research, geographic units often differ in level of aggregation across datasets. One solution is to use crosswalks that associate factors located within one geographic unit to another, based on their relative areas. We develop an alternative approach based on relative...

Infrastructure costs in the United States are high and rising. The procurement process is one potential cost driver. In this paper we conduct a survey of procurement practices across the 50 states. We survey both employees at each state department of transportation (DOT) and the road builders...