The Department of Economics is delighted to welcome Leland Farmer as a new Assistant Professor this Fall 2017.
Professor Farmer uses a blend of cutting-edge empirical methods and economic theory to study linkages between the macroeconomy and the financial sector. He has developed new methods for quantitatively assessing the impact of nonlinearities in economic models. Prominent examples include the zero lower bound on interest rates and the role of stock market volatility in propagating financial crises. Estimates derived using Professor Farmer’s approach have informed the debate on financial regulation and on the monetary policy pursued by the Federal Reserve System. His research on learning demonstrates how changing economic conditions can lead to short-run predictability of stock market returns.
In 2015, Professor Farmer was awarded the Clive Granger Fellowship at UCSD for the most promising graduate student research. He has presented his work at the 2017 NBER Summer Institute, the Federal Reserve Banks of Chicago and Atlanta, the Stanford Graduate School of Business, as well as a session on macro-financial modeling organized by the prestigious Becker-Friedman Institute. His newly published co-authored paper, “Discretizing nonlinear, non-Gaussian Markov processes with exact conditional moments,” appears in the July 2017 edition of Quantitative Economics.
He received his B.S. with Honors in Mathematical and Computational Science, with a Minor in Economics, from Stanford University in 2011. In 2017, he received his Ph.D. in Economics from UCSD under the supervision of James Hamilton and Allan Timmermann.
Professor Farmer will be teaching ECON 3720: Introduction to Econometrics this fall, and looks forward to teaching Macroeconomics and Econometrics at the Undergraduate and Graduate levels.