The last decade or so has seen a dramatic increase in the use of panel (longitudinal) data in the econometric analysis of economic behaviour along with a parallel growth in the development of estimation techniques applicable to these data. The aim of this module is to provide an understanding of these econometric techniques and their use in the empirical investigation of panel data models.
Principal Learning Outcomes
By the end of the module the students will have developed: An understanding of econometric issues involved in the analysis of panel data and will be able to conduct panel data analysis and interpret the results from these models; Written communication skills in form of written summaries of empirical work; Numeracy skills in the conduct of the statistical exercises; IT skills in use of specialist statistical packages; Critical insight to appraise econometric results obtained by other researchers using panel data; The habit of thought, knowledge and understanding to be able to carry out good quality applied econometric research using panel data with confidence and authority; A deeper and broader knowledge and understanding of material needed for empirical quantitative analysis using panel data.
Linear Static Models; Linear Dynamic Models; Non-linear Static and Dynamic Models including discrete choice and ordered response models; Issues of attrition and sample selection.
- Optional Module
- L1P6 - Year 1
- Pre or Co-requisites
- The pre-requisite for MSc Economics students is EC910 Econometrics B. The students will have to be registered to do Econometrics B (EC910) for credit in order to be able to do this module for credit
- Assessment Method
- Coursework (20%) + 2 hour exam (80%)
- Coursework Details
- Two assessments (worth 10% each)
- Exam Timing
Time Allowed: 2 Hours
Answer TWO questions ONLY. All questions are of equal weight.
Read carefully the instructions on the answer book provided and make sure that the particulars required are entered on each answer book. If you answer more questions than are required and do not indicate which answers should be ignored, we will mark the requisite number of answers in the order in which they appear in the answer book(s): answers beyond that number will not be considered.
Previous exam papers can be found in the University’s past papers archive. Please note that previous exam papers may not have operated under the same exam rubric or assessment weightings as those for the current academic year. The content of past papers may also be different.