This information is for the 2015/16 session.
Dr Vassilis Hajivassiliou 32L.4.23, Prof Danny Quah TW1 10.01A and Prof Mark Schankerman 32L.4.30
This course is compulsory on the MSc in Economics, MSc in Economics (2 Year Programme) and MSc in Quantitative Economic History. This course is available on the MPA in European Public and Economic Policy, MPA in International Development, MPA in Public Policy and Management, MPA in Public and Economic Policy, MPA in Public and Social Policy, MPhil/PhD in Accounting and MSc in Economics and Philosophy. This course is available with permission as an outside option to students on other programmes where regulations permit.
Students must have completed Introductory Course in Mathematics and Statistics (EC400).
Students should have completed an undergraduate degree or equivalent in Economics and EC400 (Introductory course in Mathematics and Statistics).
The course aims to present and illustrate the techniques of empirical investigation in economics.
1. Regression models with fixed regressors (simple and multiple). Least squares and other estimation methods. Goodness of fit and hypothesis testing.
2. Regression models with stochastic regressors.
3. Asymptotic Theory and its application to the regression model.
4. The partitioned regression model, multicollinearity, misspecification, omitted and added variables, measurement errors.
5. Heteroskedasticity, Autocorrelation, and Generalized Least Squares.
6. Exogeneity, Endogeneity, and Instrumental Variables.
7. Serial Correlation.
8. Vector Autoregression.
9. Unit roots and cointegration.
10. Estimating causal effects in panel data: Diff-in Diff estimator.
11. Panel data and static models: fixed and random effect estimators, specification tests, measurement error.
12. Panel data and dynamic models: Arellano-Bond estimator, generalized method of moments.
30 hours of lectures and 10 hours of classes in the MT. 30 hours of lectures and 10 hours of classes in the LT.
Two marked assignments per term. Exercises are provided each week and are discussed in classes. In order to have any chance of completing the course successfully, these exercises must be attempted. Special test exercises will be set at three points during the year. These will be carefully marked and the results made available.
J Johnston & J diNardo, Econometric Methods (4th edn) or W H Greene, Econometric Analysis (6th edn), James D. Hamilton, Time Series Analysis (1994), J Wooldridge, Econometric Analysis of Cross Section and Panel Data (2002), J Angrist and J Pischke, Mostly Harmless Econometrics (2009)
Exam (100%, duration: 3 hours) in the main exam period.
Total students 2014/15: 151
Average class size 2014/15: 13
Controlled access 2014/15: Yes
Lecture capture used 2014/15: Yes (MT & LT)
Value: One Unit
Course survey results
(2011/12 - 2013/14 combined)1 = "best" score, 5 = "worst" score
The scores below are average responses.
Response rate: 79.6%
Reading list (Q2.1)
Course satisfied (Q2.4)