ECNM10117: pass the exams, not just read the notes
Your complete guide to The University of Edinburgh's public economics module. See where the marks are, work real practice questions, and study with an AI tutor that knows ECNM10117.
Sia generates ECNM10117 practice questions, walks through public goods and externalities step by step, and quizzes you on the material the exam weights most heavily.
Worked example
A city bans driving in the centre on alternate days by number plate, and pollution measured at city-centre monitors falls by 12% relative to the previous month. A researcher asks whether the ban caused the fall. What is the most important thing to check first?
Identify the comparison actually being made: city centre after the ban against city centre before it. That is a before-and-after comparison, not a comparison against what would otherwise have happened.
Find a comparison that proxies the counterfactual, such as monitors in a comparable area without the ban, giving a difference-in-differences estimate, or exploiting the plate-number rule as a discontinuity.
Only then interpret the 12%, and state the assumption the estimate rests on, which is that treated and comparison areas would otherwise have moved in parallel.
The trap: Jumping to statistical significance. A precisely estimated before-and-after difference is a precise estimate of the wrong quantity if the counterfactual is wrong. Identification comes first and inference second, and reversing that order is the standard failure in policy evaluation questions. classic slip!
One exam decides 70% of your grade. Seventy percent in one sitting. This whole page is built around that.
Overview
What ECNM10117 is, and where it sits
Public Economics is the Honours option on what governments do and whether it works. The catalogue frames it as developing the tools to analyse public policy from both a theoretical and an empirical side, combining an understanding of the economic problem with evaluations of effectiveness.
Topics are drawn from across the field, with public goods, externalities, the economics of education, poverty and income redistribution, and income tax and behaviour named as possibilities. Each begins with the theory of the economic problem and moves to empirical evaluation. The applications named in the catalogue give a good sense of the level: estimating whether urban driving bans reduce pollution, measuring willingness to pay for school infrastructure, estimating labour supply responses to transfer programmes, and the response to class-size reduction policies.
The econometric content is specific and worth knowing about in advance. The methods build on a regression framework and focus on the challenges of estimating the causal effect of a policy in non-experimental settings. That is the same problem Essentials of Econometrics develops, applied here to policy questions. The module is flagged as high demand and carries a quota of 100 places.
Always treat your own course outline and the exam timetable as authoritative.
Difficulty & time commitment
Is ECNM10117 hard, and how much time does it take?
ECNM10117 is manageable if you keep a weekly rhythm and treat the back half as the main event. The pattern is consistent: it starts gently and steepens, and the heaviest assessment is the part that separates grades.
The difficulty curve and the assessment weighting point the same way: the back half is harder and worth more. Front-loading effort there is the highest-return decision in the module.
Is this module for you
Who tends to do well, and who tends to struggle
You will likely do well if
- You are comfortable moving between a theoretical model and an empirical estimate in the same answer.
- Your econometrics is solid enough to follow an identification argument without re-deriving it.
- You are interested in whether policies work, not only in whether they are justified.
- You can work largely independently; the published contact time is 26 hours out of 200.
You may struggle if
- You want either pure theory or pure applied work. The module deliberately pairs them.
- You avoid causal inference language. It is the connective tissue of every topic.
- You rely on a textbook. The catalogue lists no reading list.
- You leave the exam preparation late; 70% rests on it and the coursework specification is not published in advance.
- For every policy studied, write the theoretical prediction and the empirical finding side by side, then explain any gap.
- Learn the named applications properly; they are the concrete cases the exam will draw on.
- Always name the counterfactual before discussing an estimate.
- Practise stating the assumption an identification strategy rests on in one sentence, which is what distinguishes a strong answer.
Syllabus
The 6 topics, topic by topic
The exam-weight marker on each topic shows where the marks concentrate. The amber topics carry the highest exam weight.
T1 · Public goods
Possible topicWhy non-rival, non-excludable goods are under-provided by markets, and what provision mechanisms achieve.
T2 · Externalities
Possible topicCosts and benefits falling outside the transaction, the theoretical remedies, and the empirical question of whether interventions such as urban driving bans actually reduce pollution.
T3 · Economics of education
Possible topicPublic investment in schooling, including willingness to pay for infrastructure and the measured response to class-size reduction.
T4 · Poverty and income redistribution
Possible topicHow redistribution is designed and what it achieves, in theory and in the evaluation literature.
T5 · Income tax and behaviour
Possible topicHow taxation changes what people do, including labour supply responses to transfer programmes.
T6 · Causal evaluation in non-experimental settings
MethodThe methodological thread running through every topic: building on regression to estimate the causal effect of a policy when assignment was not random.
How it's assessed
Assessment structure
| Component | Weight | Format & timing |
|---|---|---|
| Degree exam | 70% | Written examination in the April/May diet. April/May. Seventy percent in one sitting. |
| Coursework | 30% | Coursework as specified by the course. Feedback follows School of Economics guidelines: exam-type assessments usually receive a mark with a solution sketch and aggregate written feedback on class performance, and essay-type assessments a mark with short individual written feedback. Semester 2. The catalogue publishes the weighting and the feedback policy but not the coursework specification. |
- The published components sum to 100. No separate hurdle is published for this module.
- One written paper in the April/May diet carrying 70%. The catalogue does not publish the paper length.
- Calculator policy: Not stated in the course catalogue entry.
This is an exam-cram module. With the exams at 70% of the grade and the degree exam alone at 70%, your result is overwhelmingly decided by how well you perform under time pressure. Seventy percent in one sitting.
How to actually pass it
A weekly rhythm, two checklists, and the traps to avoid
The module rewards consistency over cramming, and practice over re-reading. Here is the loop that works, then what to have nailed before each exam.
The weekly loop
Before the mid-semester checklist
- Public goods: under-provision and the provision mechanisms
- Externalities: theoretical remedies and their empirical assessment
- The regression framework as it applies to policy evaluation
- What a credible counterfactual looks like
Before the final heaviest topics
- Economics of education, including the named applications
- Poverty and income redistribution
- Income tax and behavioural responses, including labour supply
- Causal evaluation in non-experimental settings, applied to an unfamiliar policy
- The ability to pair theory with evidence in a single argument
The mistakes that cost marks
Reaching for significance before identification. A precise estimate of the wrong comparison is still wrong. Establish the counterfactual first.
Answering a policy question with a policy opinion. The module asks what the evidence establishes, not what should be done.
Treating theory and evidence as separate answers. Each topic is built as a pair, and the strongest answers explain the gap between the prediction and the finding.
Ignoring behavioural responses to tax. The behavioural margin is where most of the interesting public finance results live, and it is a named topic.
Teaching team
Who teaches ECNM10117
The bios below are factual. We do not rate lecturers; any star ratings are submitted by students who have taken ECNM10117.
Dr Maria Ventura
Listed as course organiser for Public Economics in the 2025/26 course catalogue for the School of Economics.
Teaching team as listed in the module materials reviewed. AskSia does not rate lecturers; star ratings are submitted by students who have taken ECNM10117.
Formula & concept sheet
The vocabulary and formulas you must own
- Public good
- A good that is non-rival and non-excludable, and therefore under-provided by markets.
- Externality
- A cost or benefit falling on parties outside a transaction, driving a wedge between private and social outcomes.
- Pigouvian remedy
- Correcting an externality by pricing it, so private costs reflect social ones.
- Willingness to pay
- The monetary value people place on a good or service, estimated empirically when no market price exists.
- Redistribution
- The transfer of resources through the tax and benefit system, and the efficiency and equity trade-offs it raises.
- Labour supply response
- The change in hours or participation induced by taxes or transfers; a central object of empirical public finance.
- Counterfactual
- What would have happened without the policy; the quantity every evaluation is trying to approximate.
- Difference-in-differences
- Comparing changes over time between affected and unaffected groups to approximate the counterfactual.
- Non-experimental setting
- A context where the policy was not randomly assigned, which is where the module's methodological focus lies.
Common acronyms: {'term': 'SCQF', 'def': 'Scottish Credit and Qualifications Framework'} · {'term': 'ECTS', 'def': 'European Credit Transfer and Accumulation System'} · {'term': 'DRPS', 'def': "Degree Regulations and Programmes of Study, the university's course catalogue"}.
Where it fits
Prerequisites, related modules & why it matters
Students must have passed Economics 2A and Economics 2B, or the former Economics 2, and one of Statistical Methods for Economics, the mathematics department's probability and statistics options, or Data Analysis for Psychology in R 2. Visiting students need at least four semester-long economics courses at grade B or above, including intermediate macroeconomics and microeconomics with calculus, probability and statistics, and introductory econometrics.
Your ECNM10117 study toolkit
Study the module with Sia, not just read about it
Each tool already knows ECNM10117: your syllabus, your texts, and where the marks are. Grouped by how you study, from first contact to exam week.
FAQ
Frequently asked questions
How is the module assessed?
Degree exam 70% and coursework 30%. The catalogue publishes the weighting and the feedback policy but not the coursework specification.
What are the prerequisites?
Economics 2A and Economics 2B, or the former Economics 2, plus one of Statistical Methods for Economics, the mathematics department's probability and statistics options, or Data Analysis for Psychology in R 2.
How econometric is it?
Substantially. The methods build on a regression framework and focus on estimating causal effects of policy in non-experimental settings, applied to each topic rather than taught as theory.
What topics are covered?
Drawn from across public economics, with public goods, externalities, the economics of education, poverty and income redistribution, and income tax and behaviour named as possibilities. The catalogue signals the mix varies.
Is there a textbook?
The catalogue lists no reading list for this module. Material is assigned within the course.
Is it hard to get a place?
It is flagged as high demand with a quota of 100 places.
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