This module covers the basic methods of linear regression and hypothesis testing, including extensions to models with autocorrelated and heteroskedastic disturbances and to models with lagged dependent variables. The time series concepts of unit roots and co-integration are also introduced as are the fundamental ideas of models with endogenous regressors and panel data models.
Upon successful completion of this module students will have acquired a mastery of econometric methods applicable to a wide variety of situations, ranging from the classical and generalised linear models through to nonstationary dynamic models, models with endogenous regressors and panel data models. Students should demonstrate professional understanding of the methods of estimation and inference as applied in these models, and be able to conduct their own empirical research using them. In completing the weekly problem-sets, students will demonstrate their problem-solving, analytical, and deductive skills. Key employability skills delivered by the module include analytical reasoning, model building, mathematical operations, interpretation of mathematical models, econometrics and statistics, and data analysis.
Feedback for this module will occur through: class meetings, where we will go over the answers to problem sets and where you will be able to ask questions about your own method of solution; outline answers that will be posted on the website for the module that will give you written guidance on the appropriate method to approach the problem sets and tests; and office hours, where any additional questions can be addressed. You should ensure that you use these methods to understand how to improve your own performance.
Key employability skills delivered by the module include self-awareness and reflection. The key academic skills delivered by the module are detailed in the Key Skills table. See the Departmental web pages at http://www.essex.ac.uk/economics/careers/employ%20skills.aspx.
- Module Supervisor: Marcus Chambers