An Overview of Forecasting Methods

An Overview of Forecasting Methods

Date and Time

  • Thursday, February 27, 2020 from 12:15 p.m. to 1:45 p.m.


Olin Hall, 325

5998 Alcala Park San Diego, CA 92110




*This event is reserved for USD School of Business faculty only.*

The CEE–SB Seminar Faculty Series 2019–20 welcomes all USD School of Business faculty to attend “An Overview of Forecasting Methods” facilitated by Associate Professor of Economics Dr. Ryan Ratcliff.

As analytics and machine learning strive to become more user-friendly, many popular software tools are now providing "black box" forecasts: push a button, get a forecast. This seminar is a practically oriented look inside that black box. It will discuss some of the major components in the forecasting toolkit: what they are called, where they can be used, how they work, and some of their most common pitfalls. This is not a statistics or programming course; instead, it is designed to provide participants with a useful entry point to focus their future learning efforts on the topics that are most relevant for them.

Learning Outcomes:

  • Participants will understand some of the most basic issues with time series data (stationarity, forecast evaluation).
  • Participants will identify the pros and cons of different univariate models (trend vs. growth models, smoothing models, ARMA models) and the contexts in which each model is most appropriate.
  • Participants will understand some of the most common pitfalls of applying time series methods in a multivariate context (vector autoregressions, cointegration, panel data).

Please register by February 25. For any questions, contact Dr. Alexander Kull, Assistant Professor of Marketing and CEE Liaison, at

Lunch will be provided courtesy of the School of Business!

Facilitated by Dr. Ryan Ratcliff, Associate Professor of Economics.


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