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April 1, 2010
KALAMAZOO--A noted economist will explore the wisdom of using a multitude of predictors to develop economic forecasts when he speaks Wednesday, April 7, at Western Michigan University.
Dr. Tae-Hwy Lee, professor of economics at University of California, Riverside, will speak from 3 to 4:30 p.m. in Room 3508 of Knauss Hall as part of the 46th annual Werner Sichel Lecture Series. His presentation, "Combining Forecasts with Many Predictors," is free and open to the public.
Lee's field of expertise is time series econometrics with applied interests in the analysis of financial markets and macroeconomic data. His research in time series econometrics has been in the areas of integrated, cointegrated and multicointegrated processes, nonlinear time series modeling, misspecification testing, forecasting and nonparametric methods.
His applied work has been on equities, interest rates, foreign exchange, volatility and risk management in financial econometrics, and inflation, inventories and consumption-savings in macroeconometrics. He applies his theoretical work to models of the yield curve, forecasting inflation and output growth, predictability of financial returns and volatility, models of inventory and the housing market.
Lee earned his doctoral degree in economics from UC-San Diego in 1990. He has been a member of the faculty at UC-Riverside since 1995. He has been a guest speaker at UC-San Diego, University of Cambridge, Dongguk University, Xiamen University and City University of Hong Kong. He has also been a visiting senior research fellow at the U.S. Bureau of Labor Statistics.
Lee has published widely in both theoretical and applied econometrics, and his research has appeared in numerous journals. He is an associate editor of Studies in Nonlinear Dynamics and Econometrics.
The Werner Sichel Lecture Series is organized by the WMU Department of Economics and named in honor of longtime WMU economics professor, Dr. Werner Sichel, who retired in 2004. The series is cosponsored by the W.E. Upjohn Institute for Employment Research.
Media contact: Mark Schwerin, (269) 387-8400, firstname.lastname@example.org