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Why So Many Local Entrepreneurs?

The Review of Economics and Statistics 2007 89(4), 615-633 open access
We document that the fraction of entrepreneurs working in the region where they were born is significantly higher than the corresponding fraction for dependent workers. This is more pronounced in more developed regions and positively related to the degree of local financial development. Firms created by locals are bigger, operate with more capital-intensive technologies, and obtain greater financing per unit of capital invested, than firms created by nonlocals. This suggests that there are so many local entrepreneurs because locals can better exploit the financial opportunities available in the region where they were born. This helps to explain how local financial development causes persistent disparities in entrepreneurial activity, technology, and income.

Faith Primary Schools: Better Schools or Better Pupils?

Journal of Labor Economics 2011 29(3), 589-635
We estimate the causal effect of attending a state Faith school on primary education achievement in England using administrative student-level data and implementing various strategies to control for students’ selection into Faith schooling. Our regressions control for fixed effects in prior achievement and residential postcode to compare pupils who are close residential neighbors and have identical observable ability. We also use information on future school choices to control for preferences for Faith schooling. Results show that pupils progress faster in Faith primary schools, but all of this advantage is explained by sorting into Faith schools according to preexisting characteristics and preferences.

Heterogeneous Agglomeration

The Review of Economics and Statistics 2017 99(1), 80-94 open access
Many prior treatments of agglomeration explicitly or implicitly assume that all industries agglomerate for the same reasons. This paper uses U.K. establishment-level coagglomeration data to document substantial heterogeneity across industries in the microfoundations of agglomeration economies. It finds robust evidence of organizational and adaptive agglomeration forces as discussed by Chinitz (1961), Vernon (1960), and Jacobs (1969). These forces interact with the traditional Marshallian (1890) factors of input sharing, labor pooling, and knowledge spillovers, establishing a previously unrecognized complementarity between the approaches of Marshall and Jacobs, as well as others, to the analysis of agglomeration.

The Good, the Bad, and the Average: Evidence on Ability Peer Effects in Schools

Journal of Labor Economics 2012 30(2), 367-414
We study ability peer effects in English secondary schools using data on four cohorts of students taking age-14 national tests and measuring peers’ ability by prior achievements at age 11. Our identification is based on within-pupil regressions exploiting variation in achievements across three compulsory subjects tested at age 14 and age 11. Using this novel strategy, we find significant and sizable negative effects arising from bad peers at the bottom of the ability distribution but little evidence that average peer quality and good peers matter. However, these results are heterogeneous, with girls benefiting from academically bright peers and boys not.