William C. Horrace
Distinguished Professor of Economics
Senior Research Associate, Center for Policy Research
Ph.D., Michigan State University, 1996
Econometrics, firm-level production and efficiency analysis, peer effects and strategic interactions, fishery and resource economics, crime and policing
Bill Horrace is a
Distinguished Professor of Economics, a Senior Research Associate in the Center
for Policy Research, and a W.E.B. Du Bois Scholar at the National Institutes of
Justice. His research interests include econometrics, production and efficiency
analysis, peer-effects and strategic interactions, and crime and policing. He
is an expert in the study of police racial profiling, having completed
several studies of the issue in the City of Syracuse, NY over the last decade.
He is currently a visiting scholar at the Consumer and Communities Affairs
Division of the Federal Reserve Board of Governors where he helps assessors
measure the extent to which US banks provide services to low and middle income
communities. Professor Horrace has published articles in leading economics and
econometrics journals, most recently in Journal of Econometrics and
Review of Economics and Statistics. He has received over $4 million in
sponsored project grants at Syracuse University. His most recent grant, funded
by the National Institutes of Justice, furthers our understanding of how police
experience and exposure to citizens of color affect their proclivity for racial
bias. He received his Ph.D. in Economics from Michigan State University.
“How dark is dark? Bright lights, big city, racial
profiling.” Review of Economics and Statistics, 98(2016): 226-232.
"Endogenous network production functions with selectivity." Journal of Econometrics, 190(2016): 222-232.
"Strategic substitutes or complements? The game of where to fish." Journal of Econometrics, 168(2012): 70-80.
"Alternative technical efficiency measures: skew, bias and scale." Journal of Applied Econometrics, 27(2012): 253-268.
"Identifying technically efficient fishing vessels: a non-empty, minimal subset approach." Journal of Applied Econometrics, 22(2007): 729-745.
"On ranking and selection from independent truncated normal distributions." Journal of Econometrics, 126(2005):335-354.
"Multiple comparisons with the best, with economic applications." Journal of Applied Econometrics, 15(2000): 1-26 (lead article).
Applied & Theoretical Econometrics