TOPICS IN EMPIRICAL MICROECONOMICS - 2021/2
Module code: ECOD021
In light of the Covid-19 pandemic, and in a departure from previous academic years and previously published information, the University has had to change the delivery (and in some cases the content) of its programmes, together with certain University services and facilities for the academic year 2020/21.
These changes include the implementation of a hybrid teaching approach during 2020/21. Detailed information on all changes is available at: https://www.surrey.ac.uk/coronavirus/course-changes. This webpage sets out information relating to general University changes, and will also direct you to consider additional specific information relating to your chosen programme.
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This module will present several techniques used in cutting-edge empirical microeconomics. The module will critically evaluate the potential of the various techniques and their actual application.
PAREY Matthias (Economics)
Number of Credits: 0
ECTS Credits: 0
Framework: FHEQ Level 8
JACs code: L120
Module cap (Maximum number of students): N/A
Prerequisites / Co-requisites
Indicative content includes:
- The problem of econometric identification.
- The benefits and limitations of regression and matching models.
- Quasi-experimental methods
- Instrumental variables
- Regression discontinuity designs
Differences in differences
|Assessment type||Unit of assessment||Weighting|
|Oral exam or presentation||Individual Presentation (15 minutes)||50|
|Coursework||Individual Report (3000 words)||50|
The assessment strategy is designed to provide students with the opportunity to demonstrate their ability to critically evaluate current literature and their capability in research design.
Thus, the summative assessment for this module consists of:
- A report comprised of mini literature review of several papers relating to the students’ research interests submitted in week 11.
- A presentation on a research paper of the students choice given in week 14.
Students will be assessed formatively through interactive teaching and learning methods and in office hours.
Students will receive written feedback on their presentation as well as on their coursework as soon as possible after the deadline for submission.
- To explain various advanced techniques of quantitative evaluation commonly used in applied microeconomics.
- To enable students to develop the skills required to critically evaluate the potential of the various techniques.
- To discuss recent papers in the literature so that students are able to become critical readers.
- To allow students to develop their empirical skills using STATA.
|001||To demonstrate advanced understanding of the main methods used in empirical microeconomics||KCPT|
|002||To be able to critically evaluate the methods used both in principle and in applications||KCPT|
|003||To apply the techniques learned to real life data||CPT|
|004||To interpret the results obtained from data analysis||CPT|
|005||To be able to present critical analysis both verbally and in writing||CPT|
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Overall student workload
Independent Study Hours: 117
Lecture Hours: 33
Methods of Teaching / Learning
The learning and teaching strategy is designed to:
- provide research-led teaching that introduces students to the latest findings in this subject area. The learning and teaching strategy aims to develop their powers of critical insight and intellectual synthesis as well as knowledge of the specific content taught in this module.
- give students practical experience of applying evaluation methods.
- Allow students to develop their writing and presentation skills.
The learning and teaching methods include:
- 11 taught sessions, these will include the presentation of material, interactive discussion and presentations from students.
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.
Upon accessing the reading list, please search for the module using the module code: ECOD021
Programmes this module appears in
|Economics PHD||1||Compulsory||A weighted aggregate mark of 50% is required to pass the module|
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 2021/2 academic year.