Francis X. Diebold

Francis X. Diebold is Paul F. and Warren S. Miller Professor of Social Sciences, and Professor of Economics, Finance and Statistics, at the University of Pennsylvania. He has published widely in econometrics, forecasting, finance, and macroeconomics, and he has served on the editorial boards of leading journals including Econometrica, Review of Economics and Statistics, International Economic Review, Journal of Business and Economic Statistics, and Journal of Applied Econometrics. He is an NBER Faculty Research Associate, as well as an elected Fellow of the Econometric Society, the American Statistical Association, and the International Institute of Forecasters. He has been the recipient of Sloan, Guggenheim, and Humboldt fellowships, Co-Director of the Wharton Financial Institutions Center, and President of the Society for Financial Econometrics. He lectures widely and has held visiting professorships at Princeton, Chicago, Johns Hopkins, and NYU. He has received several awards for outstanding teaching, and his academic “family” includes more than 70 Ph.D. students. Diebold’s academic research is firmly linked to practical matters: During 1986-1989 he served as an economist under both Paul Volcker and Alan Greenspan at the Board of Governors of the Federal Reserve System, during 2007-2008 he served as an Executive Director of Morgan Stanley Investment Management, and during 2012-2013 he served as Chairman of the Federal Reserve System’s Model Validation Council.

Francis X. Diebold is Paul F. and Warren S. Miller Professor of Social Sciences, and Professor of Economics, Finance and Statistics, at the University of Pennsylvania. He has published widely in econometrics, forecasting, finance, and macroeconomics, and he has served on the editorial boards of leading journals including Econometrica, Review of Economics and Statistics, International Economic Review, Journal of Business and Economic Statistics, andJournal of Applied Econometrics. He is an NBER Faculty Research Associate, as well as an elected Fellow of the Econometric Society, the American Statistical Association, and the International Institute of Forecasters. He has been the recipient of Sloan, Guggenheim, and Humboldt fellowships, Co-Director of the Wharton Financial Institutions Center, and President of the Society for Financial Econometrics. He lectures widely and has held visiting professorships at Princeton, Chicago, Johns Hopkins, and NYU. He has received several awards for outstanding teaching, and his academic “family” includes more than 70 Ph.D. students. Diebold’s academic research is firmly linked to practical matters: During 1986-1989 he served as an economist under both Paul Volcker and Alan Greenspan at the Board of Governors of the Federal Reserve System, during 2007-2008 he served as an Executive Director of Morgan Stanley Investment Management, and during 2012-2013 he served as Chairman of the Federal Reserve System’s Model Validation Council.

Current Courses

• ECON104 - Econometrics

  This course is designed to introduce students to econometric techniques and their applications in economic analysis and decision-making. The main objective of the course is to train the student in (i) handling economic data; (ii) quantitative analyses of economic models with probabilistic tools; (iii) econometric techniques, their application as well as their statistical and practical interpretation; (iv) implementing these techniques on a computer. Estimation and inference procedures are formally analyzed for simple econometric models and illustrated by empirical case studies using real-life data. The course covers linear regression models, simultaneous-equations models, discrete choice models and univariate time series models. Estimation and Inference is conducted using least squares and likelihood based techniques. Students are required to perform several econometric analyses of their own.

  ECON104001

Past Courses

• ECON104 - ECONOMETRICS

  This course is designed to introduce students to econometric techniques and their applications in economic analysis and decision-making. The main objective of the course is to train the student in (i) handling economic data; (ii) quantitative analyses of economic models with probabilistic tools; (iii) econometric techniques, their application as well as their statistical and practical interpretation; (iv) implementing these techniques on a computer. Estimation and inference procedures are formally analyzed for simple econometric models and illustrated by empirical case studies using real-life data. The course covers linear regression models, simultaneous-equations models, discrete choice models and univariate time series models. Estimation and Inference is conducted using least squares and likelihood based techniques. Students are required to perform several econometric analyses of their own.

• ECON199 - INDEPENDENT STUDY

  Individual study and research under the direction of a member of the Economics Department faculty. At a minimum, the student must write a major paper summarizing, unifying, and interpreting the results of the study. This is a one semester, one c.u. course.

• ECON221 - TIME SERIES ECONOMETRICS

  This course provides a comprehensive introduction to forecasting in economics and business. Topics covered include statistical graphics, trends, seasonality, cycles, forecast construction, forecast evaluation and forecast combination.

• ECON705 - ECONOMETRICS I: FUND

  Violations of classical linear regresson assumptions, nonlinear regression models (including logit, probit, etc.), diagnostic testing, distributed lag models, panel data models, identification, linear simultaneous-equations model.

• ECON706 - ECONOMETRICS II: METHODS

  Analysis in time and frequency domains, state space representations, Kalman filtering, conditional heteroskedasticity, nonlinear and nonparametric methods for time series, integration, co-integration, numerical and simulation techniques.

• ECON712 - TOPICS IN ADV ECONOMICS

  Topics and prerequisites announced each year.

• ECON722 - ECONOMETRICS IV: ADV

  Focuses on macro-econometrics. Topics include comparison of Bayesian and frequentist inference in nonstandard settings (e.g. time series models with persistent roots), Bayesian inference in VARS and DSGE models including modern computational tools such as Gibbs sampling, MCMC, Sequential Monte Carlo, particle filtering, etc., and tools for evaluating DSGE models.

• ECON729 - ECONOMETRICS WKSHOP

• ECON999 - INDEPENDENT STUDY

Francis X. Diebold is Paul F. and Warren S. Miller Professor of Social Sciences, and Professor of Economics, Finance and Statistics, at the University of Pennsylvania. He has published widely in econometrics, forecasting, finance, and macroeconomics, and he has served on the editorial boards of leading journals including Econometrica, Review of Economics and Statistics, International Economic Review, Journal of Business and Economic Statistics, andJournal of Applied Econometrics. He is an NBER Faculty Research Associate, as well as an elected Fellow of the Econometric Society, the American Statistical Association, and the International Institute of Forecasters. He has been the recipient of Sloan, Guggenheim, and Humboldt fellowships, Co-Director of the Wharton Financial Institutions Center, and President of the Society for Financial Econometrics. He lectures widely and has held visiting professorships at Princeton, Chicago, Johns Hopkins, and NYU. He has received several awards for outstanding teaching, and his academic “family” includes more than 70 Ph.D. students. Diebold’s academic research is firmly linked to practical matters: During 1986-1989 he served as an economist under both Paul Volcker and Alan Greenspan at the Board of Governors of the Federal Reserve System, during 2007-2008 he served as an Executive Director of Morgan Stanley Investment Management, and during 2012-2013 he served as Chairman of the Federal Reserve System’s Model Validation Council.

Knowledge @ Wharton

• Lawrence Klein: Honoring and Remembering a Model Economist, Knowledge @ Wharton - 10/25/2013