Principles of Econometrics

Overview

The unit develops the basic principles of data description and analysis, the idea of using the concept of probability to model data generation, and the statistical concepts of estimation and statistical inference, including hypothesis testing. It then develops these concepts and techniques in the context of the linear regression model to show how econometric models can be used to analyse data in a wide range of potential areas of application in economics, business and the social sciences. The unit combines theory and application. The emphasis is upon the interpretation of econometric estimation results and requires software for hands-on experience.

Topic 1: Descriptive stats and probability

Topic 2: Random variables

Topic 3: Joint random variables

Topic 4: Samples and sample statistics

Topic 5: Hypothesis testing

Topic 6: Simple linear regression

Topic 7: Multiple linear regression

Topic 8: Inference in linear regression

Topic 9: Issues in linear regression

Topic 10: Heteroskedasticity

Topic 11: Time series and autocorrelation