|
 Academic Year: | 2018/9 | |
| Owning Department/School: | Department of Economics | |
| Credits: | 12 [equivalent to 24 CATS credits] | |
| Notional Study Hours: | 240 | |
| Level: | Intermediate (FHEQ level 5) | |
| Period: |
| |
| Assessment Summary: | CW 40%, EX 60% | |
| Assessment Detail: |
| |
| Supplementary Assessment: |
| |
| Requisites: | Before taking this module you must ( take ES10005 AND take ES10006 AND take ES10091 ) OR ( take ES10005 AND take ES10003 ) OR ( take ES10005 AND take ES10091 ) OR ( take MA10211 AND take MA10212 ) | |
| Description:
| Aims: The aim of this two semester Unit is to provide an introduction to econometric methods for students who have some knowledge of statistical hypothesis testing and regression. The unit follows a systematic approach to model building focusing on formulation, estimation, interpretation and evaluation. These concepts will be reinforced through practical workshops, which also provide an opportunity for students to develop investigative skills. Learning Outcomes: At the end of the course unit students should be able to: * Undertake regression analysis using statistical software; * Interpret regression results using a variety of techniques as applied to to cross-sectional and time-series data; * Appraise the adequacy of regression results and formulate appropriate diagnostic procedures when dealing with data. Skills: Problem-solving, research skills. Content: Topics covered include: the nature of econometrics, bivariate regression analysis, multiple regression analysis, specification error, muticollinearity, heteroskedasticity, autocorrelation, instrumental variables, stationarity, cointegration and error correction models. | Before taking this module you must take ES10091 AND take ES10005 |
| Programme availability: |
ES20069 is Compulsory on the following programmes:Department of Economics
ES20069 is Optional on the following programmes:Department of Economics
|
Notes:
|