EC348-15 Research in Policy Evaluation
Introductory description
This is a research-led module and will give students an insight into how economists evaluate policy implementation. The module begins with a review of the evaluation problem and discusses methods that are used to evaluate the outcomes of various interventions. The substantive portion of the module will take a series of recent research papers which are evaluating a policy that has been implemented and explain how the authors used appropriate statistical techniques in order evaluate the policy.
Module aims
Students find that the methodological tools at their command often fall short of the problems that economists analyse. This shortcoming sometimes hampers their ability to understand empirical papers in journals and restricts their ability to undertake their own research projects. The aim of this module is to give students a greater appreciation of the range of techniques available for tacking policy implementation questions and to understand how one might choose between alternative solutions.
Outline syllabus
This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.
Week 1 (2 hours Lecture)
Topic: Introduction to the evaluation problem.
Objective: This session will discuss the need for monitoring and evaluation, key concepts of monitoring and evaluation (causality, identification problems, selection on observable and unobservable characteristics), various elements that comprise a sound impact evaluation, data collection strategies, difficulties and limitations.
Week 2-10 (18 hours total)
Topic: Identifying the impact of an intervention
Objective: Within these eight weeks the lectures will take recent policy evaluation research papers and discuss the approach the papers took in order to evaluate the impact of the policy intervention and discuss the relative merits of alternative approaches. The approaches used for policy evaluation will include instrumental variables, differences-in-differences, matching methods, regression discontinuity design, synthetic control methods and randomized control trials, endogenous switching regression models, heterogeneous treatment effect models, Quantile Treatment Effect and event studies.
Students will also be taught to how to implement some of these procedures within appropriate statistical packages, such as STATA.
Learning outcomes
By the end of the module, students should be able to:
- Understand published empirical papers focused on policy evaluation.
- Demonstrate the ability to appreciate and implement empirical research using suitable techniques.
- Have developed the skills needed to understand, conduct and present empirical research related to policy evaluation.
Indicative reading list
Reading lists can be found in Talis
Research element
Apply critical econometric analysis to a policy, formulate concepts and hypotheses, and show how they are tested in the relevant policy context.
Interdisciplinary
The specific econometric skills concerning policy evaluation can also be extended beyond the economics discipline. Particularly, this module heavily interacts with policy evaluation's political and sociological aspects.
International
As a policy evaluation module, this module will introduce a whole host of public and social policies and their impact from different parts of the world, more particularly from the global South.
Subject specific skills
By the end of the course students will be equipped with the necessary methodological skills required to analyse any policy evaluation.
Transferable skills
Understand published empirical papers. Gain the ability to conduct empirical research using (modern) econometric techniques. Gain skills
i) in the use of computer software, including statistical software;
(ii) describe data and present it in a meaningful manner.
(iii) conduct individual research and investigate topics under their own initiative;
(iv) present their research to an audience;
(v) present their research conclusions in a written form.
Study time
| Type | Required |
|---|---|
| Lectures | 10 sessions of 2 hours (13%) |
| Practical classes | 6 sessions of 1 hour (4%) |
| Private study | 124 hours (83%) |
| Total | 150 hours |
Private study description
Private study will be required in order to prepare for practical class, to review lecture notes, to prepare for forthcoming assessments and examinations, and to undertake wider reading around the subject.
Costs
No further costs have been identified for this module.
You do not need to pass all assessment components to pass the module.
Assessment group D
| Weighting | Study time | Eligible for self-certification | |
|---|---|---|---|
| Assessment 1: Reproducing results | 20% | No | |
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Reproducing results from a published empirical paper and generating replicable ‘do’ and ‘log’ files of empirical results. |
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| Assessment 2: Policy Evaluation Report | 20% | No | |
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Writing a 2000 words policy evaluation report from a given data set. |
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| Summer Exam | 60% | No | |
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Standard exam
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Assessment group R
| Weighting | Study time | Eligible for self-certification | |
|---|---|---|---|
| Final Exam | 100% | No | |
Feedback on assessment
The Department of Economics is committed to providing high quality and timely feedback to students on their assessed work, to enable them to review and continuously improve their work. We are dedicated to ensuring feedback is returned to students within 20 University working days of their assessment deadline. Feedback for assignments is returned either on a standardised assessment feedback cover sheet which gives information both by tick boxes and by free comments or via free text comments on tabula, together with the annotated assignment. Students are informed how to access their feedback, either by collecting from the Undergraduate Office or via tabula. Module leaders often provide generic feedback for the cohort outlining what was done well, less well, and what was expected on the assignment and any other common themes. This feedback also includes a cumulative distribution function with summary statistics so students can review their performance in relation to the cohort. This feedback is in addition to the individual specific feedback on assessment performance.
Pre-requisites
To take this module, you must have passed:
Anti-requisite modules
If you take this module, you cannot also take:
- PO22Q-15 Introduction to Causal Inference in Quantitative Political Analysis
Courses
This module is Core for:
- Year 3 of UECA-3 Undergraduate Economics 3 Year Variants
- Year 4 of UECA-4 Undergraduate Economics 4 Year Variants
This module is Core optional for:
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UECA-3 Undergraduate Economics 3 Year Variants
- Year 3 of L100 Economics
- Year 3 of L116 Economics and Industrial Organization
- Year 4 of UECA-4 Undergraduate Economics 4 Year Variants
This module is Optional for:
- Year 3 of UECA-3 Undergraduate Economics 3 Year Variants
- Year 4 of UECA-4 Undergraduate Economics 4 Year Variants
- Year 3 of UECA-LM1D Undergraduate Economics, Politics and International Studies