TOPICS IN ECONOMETRICS - 2019/0
Module code: ECOD022
The module introduces topics on recent developments in Econometrics. In particular: (i) spatial econometrics and network formation (ii) quantiles and mode regression, (ii) structural econometrics.
CORRADI Valentina (Economics)
Number of Credits: 0
ECTS Credits: 0
Framework: FHEQ Level 8
JACs code: L140
Module cap (Maximum number of students): N/A
Prerequisites / Co-requisites
Indicative content includes:
- Spatial Econometrics
- Econometrics of Networks
- Quantile Regression
- Mode Regression
- Auction Models
- Econometrics of Games
|Assessment type||Unit of assessment||Weighting|
|Coursework||Coursework (Problem Sets and Take Home Examination)||100|
The assessment strategy is designed to provide students with the opportunity to demonstrate their technical skills relating to the use of econometrics techniques to do innovative empirical work.
Thus, the summative assessment for this module consists of:
Problem sets and Take Home Examination, typically including a computer exercise.
Due to the limited size of the cohort and the level of study , formal formative assesment is replaced with informal discussions during and outside lectures.
- To provide an overview of frontier topics in econometrics
- To provide a guidance of possible topics for students interested in pursuing doctoral research Econometric Theory or Applied Econometrics
- To enable students to conduct independent research in econometrics and its application
|001||To reproduce the result of key papers||CP|
|002||To engage in innovative research in structural economics/econometrics||KCPT|
|003||To produce methodological contribution||KCPT|
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Overall student workload
Independent Study Hours: 128
Lecture Hours: 22
Methods of Teaching / Learning
The learning and teaching strategy is designed to: develop students’ independent research skills, by training them to effectively conduct critical analysis of papers in scientific journals. Problems set are assigned to ensure all concepts and methods are properly mastered.
The learning and teaching methods include:
Interactive lectures and class discussion
Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.
Reading list for TOPICS IN ECONOMETRICS : http://aspire.surrey.ac.uk/modules/ecod022
Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2019/0 academic year.