Econometrics 115 - On Demand Course Material
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Econometrics 115 - On Demand Course Material

Par MCC Economics and Finance
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Learn to model time series data using AR, MA, ARIMA, and VAR tools. Gain insights into lag selection and model evaluation strategies.

Dive into the World of Time Series Analysis

**Please note that this course is only available on demand and there is no meeting being held.**

Welcome to Econometrics 115! This on-demand course introduces time series model specifications and shows you how to analyze dynamic data with autoregressive and moving average techniques. You'll explore AIC/BIC, ACF/PACF, ARIMA, SARIMA, and VAR models.

Register to get immediate access to a 1-hour lecture video, presentation slides, a knowledge quiz, and a transcript.

This course offers you:📉 Step-by-step guidance on autoregressive and moving average models📊 A visual approach to using ACF and PACF to interpret time series dynamics🧠 An introduction to advanced tools like ARIMA, SARIMA, and VAR

This course is for:

  • Economists, analysts, and researchers using dynamic data
  • Students studying time series and econometrics
  • Professionals building forecast models in finance or policy
  • Consultants seeking to strengthen quantitative analysis skills

Learn to model time series data using AR, MA, ARIMA, and VAR tools. Gain insights into lag selection and model evaluation strategies.

Dive into the World of Time Series Analysis

**Please note that this course is only available on demand and there is no meeting being held.**

Welcome to Econometrics 115! This on-demand course introduces time series model specifications and shows you how to analyze dynamic data with autoregressive and moving average techniques. You'll explore AIC/BIC, ACF/PACF, ARIMA, SARIMA, and VAR models.

Register to get immediate access to a 1-hour lecture video, presentation slides, a knowledge quiz, and a transcript.

This course offers you:📉 Step-by-step guidance on autoregressive and moving average models📊 A visual approach to using ACF and PACF to interpret time series dynamics🧠 An introduction to advanced tools like ARIMA, SARIMA, and VAR

This course is for:

  • Economists, analysts, and researchers using dynamic data
  • Students studying time series and econometrics
  • Professionals building forecast models in finance or policy
  • Consultants seeking to strengthen quantitative analysis skills
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MCC Economics and Finance
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nov. 3 · 09:00 UTC