Bianchi Wins Zellner Thesis Award
06 August 2010 12:00AM
Assistant Professor Francesco Bianchi recently won the 2010 Zellner Thesis Award for his dissertation written at Princeton University.
The award is given annually for the best Ph.D. thesis addressing an applied problem in business and economic statistics. It is intended to recognize outstanding work by promising young researchers.
Sponsors of the award are the American Statistical Association, under the auspices of the Journal of Business and Economics Statistics (JBES), and Thomson Reuters. This year the award recipients were Bianchi and Roopesh Ranja, who completed a thesis on probabilistic forecasts at the University of Washington.
Bianchi's dissertation presents three essays in macroeconometrics all related to the use of Bayesian techniques with a special focus on the role of expectations.
“Francesco Bianchi's thesis brings state-of-the-art Bayesian methods to the analysis of a macroeconomic model in which the conduct of monetary policy changes over time, perhaps from one [Federal Reserve] Chairman to the next,” said Jonathan Wright, JBES co-editor and a member of the 2010 Zellner Award committee. “The thesis combines state-of-the art econometrics and also central questions of macroeconomic policy that makes it a first-class econometric contribution."