Peter Moffatt

Peter Moffatt is a Professor of Econometrics in the School of Economics at the University of East Anglia. He is affiliated with the Norwich Institute for Healthy Aging, Centre for Behavioural and Experimental Social Science, Applied Econometrics and Finance, and Behavioural Economics research groups. His work focuses on Experimetrics—the econometric analysis of experimental economic data—and spans risk attitude modeling, financial econometrics, and consumer behavior. Dr. Moffatt has authored the 2015 textbook Experimetrics and delivered global Masterclasses on the subject.

His research interests include risk preference analysis, bank borrower repayment dynamics, and consumer theory. Notable projects include a 2002–2005 Leverhulme Trust-funded study on experimental methods in economics. He advises PhD students on topics like econometric modeling of experimental data and discrete choice models.

Key collaborations span international institutions, with recent work addressing volatility in energy and stock markets, pandemic impacts on financial systems, and gender differences in gambling behavior. Awards and fellowships are not explicitly noted, but his contributions to econometric methodology are widely recognized.

Dr. Moffatt’s expertise includes advanced statistical techniques such as GARCH modeling, copula methods, and hurdle models, applied to diverse fields like credit risk assessment, public policy evaluation, and behavioral experiments.