Econometrics Methods & Techniques lectures summary, notes, exam review - PDF Download

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Hi folks, I am here sharing lecture summary for one of most popular Economics/Econometrics subjects - Methods & Techniques.

Details of the attachment:

> Course: Economics / Econometrics
> Subject: Methods & Techniques
> Content type: Lectures summary, notes, exam review
> Pages: 90 in PDF Document

Topics covered in Methods & Techniques lecture summary, notes, exam review:

• Lecture 2 – Simple linear regression model: introduction, estimation and goodness of Fit
• Lecture 3 – Simple linear regression model: assumptions and properties of OLS Estimator
• Lecture 4 – Simple linear regression model: hypothesis tests and confidence intervals
• Lecture 5 – Multiple regression model: omitted variable bias, OLS estimator, measures of fit, least squares assumption, multicollinearity
• Lecture 6 – Multiple regression model: hypotheses tests single coefficients, joint hypotheses, role of control variables & conditional independence
• Lecture 7 – Nonlinear regression functions
• Lecture 8 – Internal and external validity
• Lecture 9 – Tools to ensure or restore internal validity – part 1: sampling, panel data and IV methods
• Lecture 10 – Tools to ensure or restore internal validity – part 2: Experiments and quasi-experiments
• Lecture 11 – Binary choice model
• Lecture 12 – Time Series
• Lecture 13 – Dynamic models
• Lecture 14 – Moving average (MA) and ARIMA
• Lecture 15 – non-stationarity
• Lecture 16 – Volatility Clustering

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