Working Papers
My working papers can also be found on SSRN.

How Do Institutions of Higher Education Affect Local Invention? Evidence from the Establishment of U.S. Colleges

I use data on site selection decisions for a subset of U.S. colleges to identify "runner-up" locations that were strongly considered to become the sites of new colleges but were ultimately not chosen for reasons as good as random assignment. Using the runner-up counties as counterfactuals, I find that establishing a new college causes 38% more patents per year. Linking the patent record to a novel dataset of college yearbooks reveals that only 5% of patents in a college's county come from individuals directly affiliated with that college as either alumni or faculty. Establishing other types of institutions increase patenting indistinguishably from colleges.

Featured on: Marginal RevolutionMother JonesBrad DeLong's Blog
A previous version of this paper circulated with the title "The Role of Universities in Local Invention: Evidence from the Establishment of U.S. Colleges"

with Sarada and Nicolas L. Ziebarth
Revise and Resubmit, Explorations in Economic History

We assemble a novel and comprehensive dataset linking inventors to Census records from 1870 to 1940. We find that older people, men, whites, and those living outside their state of birth tend to be overrepresented among patentees. These demographic differences are remarkably stable over this 70 year period. Furthermore, few local factors beyond simply the share of a particular group in the population predict inventor demographics at the county-level. Finally, we examine how the founding of a historically black college or university (HBCU) affected black representation in patenting. We find that HBCUs did increase black participation in patenting locally but mainly by drawing blacks to the area and raising their share in the local population overall.

By comparing counties that are near and far from land grant colleges using a variety of distance measures, I show that proximity is more important for agricultural productivity and output than for other measures of innovation in other fields. To shed light on how widely innovations from land grant colleges diffuse, I exploit a novel dataset that contains histories of new wheat varieties introduced in the U.S. before 1920. I find that only 10-17% of wheat acreage planted in varieties developed since the establishment of land grant colleges is planted in varieties developed at land grant colleges. Finally, I use data on the publications by researchers affiliated with land grant colleges to present direct evidence that, even more than a century after the land grant colleges were established, land grant research is biased towards crops that were initially most prevalent in land grant college counties, rather than those that were most prevalent in the rest of the state. This suggests that the location of land grant colleges has persistent effects on the direction of agricultural research.

To understand the importance of informal social interactions for invention, I exploit a historical policy that restricts one channel through which individuals interact. More specifically, I examine the effects of state-level alcohol prohibition in the U.S. Prior to the enactment of state-wide or nationwide alcohol laws, each county determined its own alcohol policies. Thus, prohibition differentially treated counties depending on whether they were wet or dry prior to prohibition. I analyze three different prohibition episodes: the enactment of national prohibition, the imposition of prohibition at the state-level in the decades before national prohibition, and the removal of prohibition barriers in the 1930s. I consider several sample selection criteria, including utilizing data on county-level voting during prohibition referendums, to ensure that sample counties had consistent views on alcohol, in turn ensuring that changes are not driven by unobservable characteristics that also affect patenting behavior. Following national prohibition, previously wet counties had approximately 10% fewer patents per year. After prohibition at the state level, the estimated effect is even larger: previously wet counties have about 20% fewer patents per year relative to the dry counties. In both cases, the effect is largest in the first three years after the imposition of prohibition and rebounds thereafter. Consistent with the observed decrease in patenting being driven by a disruption of informal social interactions, the fraction of patents with multiple inventors falls, the diversity of patented ideas declines, and first-time inventors decrease their patenting more than serial inventors following prohibition. The patenting rate for men decreased more than that for women in previously wet counties. Removing prohibition appears to lead to a small increase in patenting, although the results are more mixed.

I compare the strengths and weaknesses of four historical patent datasets and compare the suitability of each for use in economic research. I show first that a number of historical sources exist that are nearly as complete as data on contemporary patenting. Second, I describe in detail differences across the datasets in terms of patent and inventor information included, reliability of provided information, and potential sample selection issues. Third, I show that while the datasets paint a remarkably consistent picture of aggregate invention through U.S. history, they contain important differences. In particular, differences in how patents are matched to location can produce statistically significant differences in estimates of the importance of agglomeration for invention. I discuss ways in which the different datasets can be used in conjunction with one another to improve inference.

I build a duopoly model in which firms compete on a quality ladder. The only payoff-relevant state variable is the number of steps, or gap, between firms on the ladder. At each stage, each firm decides how much R&D effort to exert as well as which of two "innovation technologies" to use. A "gap-dependent innovation technology" has a high probability of success, but the cost for the follower increases as it falls more steps behind the leader. A "gap-independent innovation technology" has a lower probability of success, but the cost does not depend on the gap between firms. Thus, when the gap becomes sufficiently large, the follower switches to use the gap-independent innovation technology. If the follower has a single success using either innovation technology, it leapfrogs the leader. When only the gap-dependent innovation technology is available, the equilibrium exhibits familiar escape competition and discouragement effects: both firms exert the highest effort when the gap is small and lower effort when the gap is large. When both innovation technologies are available, changing costs in one state trickle down and affect firms' choices in other states in nontrivial ways. For instance, reducing the cost of the gap-independent innovation technology increases the follower's effort when the gap is large but decreases effort when the gap is small because it is less costly for followers to fall far behind and less profitable for leaders to move far ahead. I show that this decrease in effort when the gap is small can be sufficiently large to lower the overall expected arrival rate of successes. Other comparative static results are illustrated with numerical examples.