Course

FIN-403: Econometrics

Summary

The course covers basic econometric models and methods that are routinely applied to obtain inference results in economic and financial applications.

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Lectures in this course (28)
Basics of Linear Regression
Covers the basics of linear regression, including OLS estimators, hypothesis testing, and confidence intervals.
Univariate Time Series Analysis
Explores univariate time series analysis, covering stationarity, ARMA processes, model selection, and unit root tests.
Linear Regression: Beyond the Basics
Explores advanced concepts in linear regression models, including multicollinearity, hypothesis testing, and handling outliers.
Model Selection in Time Series Analysis
Covers model selection, diagnostics, and forecasting in time series analysis, emphasizing the challenges of determining the model order based on autocorrelation and partial autocorrelation functions.
Instrumental Variables: Addressing Measurement Error and Reverse Causality
Explores how instrumental variables correct biases from measurement error and reverse causality in regression models.
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