YoVDO

Econometrics

Offered By: YouTube

Tags

Econometrics Courses Time Series Analysis Courses Regression Analysis Courses Matrix Algebra Courses Autocorrelation Courses Heteroscedasticity Courses

Course Description

Overview

Explore a comprehensive econometrics course covering essential topics in regression analysis, time series data, and statistical inference. Learn about the Gauss-Markov Theorem, multicollinearity, instrumental variables, heteroscedasticity, autocorrelation, and Bayesian econometrics. Dive into matrix algebra applications, asymptotic properties of estimators, and various econometric tests. Practice with real-world examples using OECD data and software like R and EViews. Gain hands-on experience through exercises and exam question reviews, enhancing your understanding of econometric modeling, estimation techniques, and hypothesis testing. Master the skills needed to analyze economic data, interpret results, and make informed decisions in this 14-hour course designed for economics and finance students.

Syllabus

Gauss Markov Theorem - Sketch of a proof.
two tailed Regression t-test.
Regresion coefficient confidence interval.
Multicollinearity.
p-values.
F-test for linear restrictions in regression model.
IV notation.
What's the use of Matrices for regression analysis?.
Matrix Algebra - Addition.
Matrix Algebra Multiplication.
Matrix Algebra Inverse.
The Regression Model - From Matrix form to Obs form.
Estimator Consistency and Laws of Large Numbers.
Asymptotic Normality of OLS parameter Estimators.
Random Regressors and OLS properties.
TSdata from the OECD database.
Regression Assumptions for Time Series Data.
ECON20110 Spurious Regression.
ECON20110 Exercise1.
ARIMA estimation in R.
Heteroscedasticity Intro.
Generalised Least Squares (GLS) Theory.
ECON20110 Detecting Heteroskedasticity.
ECON20110 Heteroskedasticity Detection in EVIEWS.
Introduction to Autocorrelation.
Newey-West Standard Errors.
ECON20110 Ramsey Reset Test.
Using dummy variables to model structural change.
ECON20110 Exercise 2.
Modelling Summary.
Measurement Error.
Two Stage Least Squares to IV Estimator.
Testing for Autocorrelation.
Structural Change Example.
ECON20110 - IV and Proxy.
Instrumental Variable Estimation - Motivation.
ECON20110 Exercise 4.
Maximum Likelihood - A Poisson Example.
ECON20110 Exam 2011 Q4.
ECON20110 2011-12 Semester 1 Question 1.
ECON20110 2012-13 Semester 1 Question 5.
Introduction to Bayesian Econometrics.
Bayesian v Frequentist Inference.
Bayesian Estimation - Exercise.
Selecting subsamples in EVIEWS.
Time Series Analysis Question.
Heteroskedasticity Question.
Maximum Likelihood Exercise.
Omitted Variable Bias.
OLS estimator unbiasedness in multiple regression model.
Omitted Variable Bias.
OLS Parameter interpretation.
OLS estimator variance.
OLS linking assumptions to properties.
Econometrics Mid-Term Feedback Nov 2019.


Taught by

Ralf Becker

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