Sebastian Fossati, PhD, MA, BS

Area of Study / Keywords

Econometrics Time Series Forecasting Prediction Causal Inference

About

PhD, University of Washington, 2010

MA, University of Washington, 2006

Licenciado en Economia, Universidad de la Republica, Uruguay, 2003

Research

ualberta.ca/~sfossati/research.html

ECON 497 - Econometric Methods

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.

ECON 504 - Applied Economics Projects II

This is an applied projects course in which you will be interacting directly with a partner organization in industry, government, or the non-profit sector, with an Economics faculty member to provide guidance and supervision. No in-class meeting pattern; group meetings and advisor meetings will be scheduled throughout the term as needed.

ECON 593 - Prediction and Machine Learning for Economics

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.

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