Jeff Gonzalez is a research mathematical statistician in the Food Assistance Branch of the Food Economics Division. He is currently leading the survey and data development efforts for the Second National Food Acquisition and Purchase Survey (FoodAPS-2). His research interests include modular survey designs, responsive/adaptive designs, respondent burden, and nonresponse bias.
Jeff joined the Economic Research Service in December 2019. Prior to joining ERS, Jeff was a mathematical statistician at the U.S. Bureau of Labor Statistics. Jeff worked on various aspects of the statistical and survey methodology for its national surveys on employee compensation and working conditions. He also conducted research for the redesign efforts for the Consumer Expenditure Survey.
Jeff received his PhD in Survey Methodology (with a Statistical Science concentration) from the Joint Program in Survey Methodology at the University of Maryland – College Park. He also has an MS in Biostatistics from the University of Michigan and a BS in Biostatistics from the University of North Carolina at Chapel Hill.