Sebastian Fossati Pereira, PhD, MA, BS
Area of Study / Keywords
Time Series Econometrics Forecasting Empirical Macroeconomics
PhD, University of Washington, 2010
MA, University of Washington, 2006
Licenciado en Economia, Universidad de la Republica, Uruguay, 2003
Methods for modeling and forecasting economic data. Topics may include regression models, cross-validation, machine learning methods, classification, predictive analytics, and forecasting with time series data. Prerequisites: ECON 109 and 399 or equivalent.
Econometric problems and techniques with emphasis on regression methods and hypothesis testing. Single equation techniques and introduction to simultaneous equation systems. Matrix algebra is used extensively. Prerequisites: ECON 109, ECON 386, 387 and 399 or equivalent. Prerequisite or Corequisite: ECON 481 and 482. Credit will not be granted for both ECON 497 and 400.
Content varies from year to year. Topics announced prior to registration period. Additional prerequisites may be required; consult the department for further information.
Statistical methods for modeling and forecasting economic data. Topics may include data wrangling and exploration, visualization, cross-validation, regression models, machine learning methods, classification, predictive analytics, and forecasting with time series data.