Stanford Root

Schedule

Stanford Root

Schedule

ECON 105

Economic Forecasting

UNITS:5
GRADING:Letter or Credit/No Credit
LEVEL:Undergrad
GER:—

The objective of the course is to introduce you to time series analysis and forecasting methods. Students will master a mix of theoretical and applied econometrics techniques used in macroeconomic and financial applications. Topics to be covered potentially include but are not limited to: regression from a predictive viewpoint; forecasting trends and seasonality; exponential smoothing models; ARMA models; stochastic trends, unit roots, and cointegration; structural breaks; point, interval and density forecasts; forecast evaluation and combination; vector autoregression including impulse-response estimation and analysis; dynamic factor models; volatility forecasting using GARCH models; conditional forecasting models and scenario analysis. The course emphasizes hands-on experience, and all students will acquire knowledge of the programming language R in the context of time series models and forecasting. Prerequisites: ECON 102B. Students with a strong background in Statistics may reach out to the Economics Undergraduate office for permission to enroll.

Syllabus not available for this section

Sections

0 Terms
No sections available.

ECON 105: Economic Forecasting

5 units · Letter or Credit/No Credit

The objective of the course is to introduce you to time series analysis and forecasting methods. Students will master a mix of theoretical and applied econometrics techniques used in macroeconomic and financial applications. Topics to be covered potentially include but are not limited to: regression from a predictive viewpoint; forecasting trends and seasonality; exponential smoothing models; ARMA models; stochastic trends, unit roots, and cointegration; structural breaks; point, interval and density forecasts; forecast evaluation and combination; vector autoregression including impulse-response estimation and analysis; dynamic factor models; volatility forecasting using GARCH models; conditional forecasting models and scenario analysis. The course emphasizes hands-on experience, and all students will acquire knowledge of the programming language R in the context of time series models and forecasting. Prerequisites: ECON 102B. Students with a strong background in Statistics may reach out to the Economics Undergraduate office for permission to enroll.

More ECON courses

  • ECON 52: Economic Analysis III
  • ECON 101: Economic Policy Seminar
  • ECON 102A: Introduction to Statistical Methods (Postcalculus) for Social Scientists
  • ECON 102B: Applied Econometrics
  • ECON 102C: Advanced Topics in Econometrics
  • ECON 104: The Economics of Innovation and Organ Donation in Latin America
  • ECON 106: World Food Economy (EARTHSYS 106, EARTHSYS 206, ECON 206, ESS 106, ESS 206, GEP 106, GEP 206)
  • ECON 107: Machine Learning in Economics
  • ECON 108: Data Science for Business and Economic Decisions
  • ECON 109: Economics from Outer Space
  • ECON 110: (FIN II) Foundations of Corporate Finance
  • ECON 111: Money and Banking

All ECON courses · All departments