POLICY EVALUATION AND DATA ANALYSIS - 2023/4
Module code: ECOM074
How do we enable 'evidence-based' policy? This module will explain various techniques that are commonly used to measure causal effects in microeconomics. The module will critically evaluate the potential of the various techniques and their actual application, equipping students with a toolkit for policy evaluation.
MANDILARAS Alexandros (Economics)
Number of Credits: 15
ECTS Credits: 7.5
Framework: FHEQ Level 7
Module cap (Maximum number of students): N/A
Overall student workload
Workshop Hours: 5
Independent Learning Hours: 101
Lecture Hours: 22
Captured Content: 22
Prerequisites / Co-requisites
- The Evaluation Problem
- Randomised Control Trials
- Instrumental Variables
- Differences in Differences
- Synthetic control models
- Regression Discontinuity
|Assessment type||Unit of assessment||Weighting|
|Project (Group/Individual/Dissertation)||Individual Project||20|
The assessment strategy is designed to provide students with the opportunity to demonstrate that they have achieved the module learning outcomes.
Thus, the summative assessment for this module consists of:
An initial written report, which builds students confidence in interpreting published empirical work
An individual project that enables students to apply their growing practical skills using suitable specialist software
An examination that provides students with the opportunity to demonstrate their comprehensive understanding of policy evaluation methods and their applications.
Feedback Individual feedback will be provided on students work during the workshops and when the report and individual project marks are released.
- Develop an understanding of the evaluation problem
- Introduce advanced key methods of policy evaluation and how they address the evaluation problem
- Develop students¿ ability to understand and evaluate empirical strategies, giving them the skills needed to apply them in novel settings
- Develop an understanding for the role of suitable evaluation methods in addressing quantitative applied microeconomic questions
|001||Demonstrate a systematic understanding of key aspects of any method of quantitative evaluation, and the role of the counterfactual|
|002||Display a comprehensive understanding of and assess critically policy evaluation techniques|
|003||Engage with empirical studies that are at the forefront of the literature on policy evaluation|
|004||Identify appropriate evaluation methods in different contexts, carry out the corresponding estimation using a specialist software package and interpret the results obtained|
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Methods of Teaching / Learning
The learning and teaching strategy is designed to enable students to achieve the module outcomes. There will be 22 hours of lectures and five hours with practical workshops.
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: ECOM074
This module incorporates some of the University¿s five pillars of learning as follows: Employability: This module provides empirical skills, which are important skills in the labour market for graduate economists. Resourcefulness and Resilience The module develops students' capabilities to engage with the research literature and apply the skills and techniques in novel settings.
Programmes this module appears in
|Economics (International Economics) MSc||2||Optional||A weighted aggregate mark of 50% is required to pass the module|
|Economics (Policy Evaluation and Data Analysis) MSc||2||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 2023/4 academic year.