This module provides an introduction to the econometric methods commonly used to analyse economic data. The focus of the module is on linear regression and the ordinary least squares (OLS) estimation procedure. This is introduced after a review of basic probability, random variables, simple descriptive statistics and the concept of the null hypothesis. Students will then be taught about how t-tests and F-tests can be used to make inferences about the estimated parameters and what diagnostic tests are available to test some of the assumptions of the simple OLS model. Then the module will move onto the question of identification and model specification, the concepts and implications of consistency and efficiency. The module will be taught throughout using the Stata software package and always using economic examples using real data.

Upon successful completion of this module students will have learned how to carry out simple statistical and econometric calculations. In addition they will possess the ability to understand and assess critically empirical findings reported in the applied economics literature. In addition, they should be able to use the linear regression model and the econometric methods developed for the linear regression model in order to conduct a simple econometric investigation of an empirical issue of interest. In completing tests/assignments, students will demonstrate their problem-solving analytical and deductive skills.

This module delivers key employability skills of adoption of new techniques and project management (Career Development), and reflection and evaluation (Personal Development Planning). The key academic skills delivered by the module are detailed in the Key Skills table. See the Departmental web pages at