Dan Hamilton, Associate Professor in the School of Management, is the Director of Economics for the CLU Center for Economic Research and Forecasting (CERF), and is the Director of CLU's Master of Science in Quantitative Economics (MSQE). In partnership with CERF Director Matthew Fienup, he is a member of the Wall Street Journal's Economic Forecasting Survey, and has more than 22 years of experience in economic forecasting.
Dan joined CLU in 2009 and in three months, established CERF and MSQE. CERF has computed economic forecasts for the United States, California, Oregon, Los Angeles County, the San Fernando Valley, Ventura County, and for various other counties in California. The MSQE program focuses on teaching the application of quantitative methods in applied economic and financial analysis, including economic forecasting.
Prior to CLU, Hamilton joined the UCSB Economic Forecast Project in 2000 where he worked with well-known regional organizations including Vandenberg Air Force Base, the County of Santa Barbara, the County of Ventura, The Towbes Group, the Sares-Regis Group, among many others.
Prior to UCSB, Dan worked for three years for the Wharton Econometric Forecasting Associates (WEFA Group) where he produced and interpreted forecasts for a wide variety of clients including Visa International, the Panama Canal Authority, and the United States government. He also conducted intensive forecast training programs for both internal and external clients at the WEFA Group.
Hamilton earned a B.S. degree in agricultural economics from UC Davis and his M.S. and Ph.D. in economics from University of California Santa Barbara.
A.S. Mathematics and Physical Sciences, American River College
B.S. (honors), Agricultural Economics, University of California, Davis
M.A. Economics, University of California, Santa Barbara (fields: Finance and Econometrics)
Ph.D. Economics, University of California, Santa Barbara (fields: Macroeconomics and Econometrics)
The United States Economy. The California Economy.
Time-Series Econometrics. Macroeconomic Theory. Business Cycle Analysis. Economic Growth Theory.
Eviews Model Programming. AREMOS Model Programming.
CLU Speakers Bureau and Experts Directory Page, click here.
FM-OLS Estimation of Near Unit Root data, Cal Lutheran Economics Department, Working Paper, January 30, 2019.
Monetary Policy and PID Control, Journal of Economic Interaction and Coordination, DOI 10.1007/s11403-014-0127-3, March 2014.
Forecasting with Structural Models and VARs: Relative Advantages and the Client Connection, Foresight: The International Journal of Applied Forecasting, Issue 22, Fall 2011. http://ideas.repec.org/a/for/ijafaa/y2011i23p37-42.html
Using Aggregate Time Series Variables to Forecast Notices of Default, co-authored with Rani Isaac and Kirk Lesh, Business Economics, Vol. 45, No. 1, January 2010. http://www.nabe.com/publib/be/1001/index.html