Richard Paap

Richard Paap is a Full Professor of Econometrics at the Econometric Institute, Erasmus School of Economics, Erasmus University Rotterdam. He earned his PhD from the same institution in 1997 and currently serves as Academic Director of the Master Econometrics program. He is actively involved in research, teaching, and academic management.

His research focuses on econometric modeling in marketing and macroeconomics, employing both Bayesian and frequentist methodologies. Key areas include time series analysis, panel data, regime switching, and market response models. He has made significant contributions through publications in leading journals such as Journal of Applied Econometrics, Journal of Business & Economic Statistics, and Journal of Marketing Research.

His recent publications reveal a strong trend in applying advanced econometric techniques to real-world problems—forecasting in panel regressions, modeling professional forecasters' behavior, estimating expert loss functions, and analyzing inflation dynamics with regime switches. He also contributes to marketing with studies on store price image and brand choice modeling, and to macroeconomics with work on recessions, monetary policy, and growth differences.

Richard Paap co-authored two influential books: Quantitative Models in Marketing Research and Periodic Time Series Models, both widely used in academic and applied settings. He teaches courses such as Bayesian Econometrics, Marketing Models, and Case Studies in Applied Econometrics, and supervises bachelor’s and master’s theses in econometrics and management science.

He chairs the Program Committee for Econometrics & Operations Research, indicating leadership in academic program development. Although no formal awards are listed, his extensive publication record and book authorship reflect high scholarly impact.

He advises students and collaborates widely, particularly with P.H. Franses, D. Fok, and D.J.C. van Dijk. While no specific lab or research center is named, his work is centered within the Econometric Institute, a leading research group in quantitative economics. His future work likely continues to bridge econometric theory with applications in marketing and macroeconomic policy.