
Applied Public Policy Evaluation
Short or summer course

Many policy related empirical questions in economics are answered using detailed individual data and require analyzing individual behavior. This often implies that a causal parameters should be estimated to assess how a public policy affects individual outcomes. In many settings regression models provide correlations which only in special cases have a causal interpretation. In this course we discuss methods dealing with these confounding factors, such as omitted variables, reverse causality, measurement errors and non-random sampling. In particular, we consider limited dependent variable models, instrumental variables estimation and panel data models. We introduce the potential outcomes model, which is the most general model for defining treatment effects such as average treatment effect, average treatment effect on the treated, quantile treatment effects and local average treatment effects. The emphasis of the course is on identification, estimation and interpretation rather than a thorough treatment of the asymptotic properties of the estimators.
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English
Title
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Duration
5 days
ECTS credits
ECTS
The European Credit Transfer and Accumulation System (ECTS) is a student-centred system based on the student workload required to achieve the objectives of a programme of study. Its aim is to facilitate the recognition of study periods undertaken by mobile students through the transfer of credits. The ECTS is based on the principle that 60 credits are equivalent to the workload of full-time student during one academic year.
Accreditation
Information not available
Tuition fee 2025/2026
EU/EEA
The EU/EEA rate is the regular fee for students from within the EU/EEA.
€ 1,000
Admission
Application requirements
Students are assumed to be familiar with the basic concepts in econometrics, such as linear regression, instrumental variables, panel data, logit/probit models and hypothesis testing. Preferably, students have followed an introductory course in econometrics at the graduate level, but students who completed a course in statistics or advanced research methods are also considered. Students should be familiar with a statistical package, preferably Stata.
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Tuition fees | |
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€ 1,000 | |
Non-EU/EEAThe non-EU/EEA rate is the rate for students from outside the EU/EEA. |
Information not available |
InstitutionalThe institutional rate is for all students who have already obtained a bachelor’s or master’s degree and who want to start a second programme leading to a degree at the same level or at a lower level. |
Information not available |
Start date | App. deadline EU/EEA | App. deadline Non-EU/EEA |
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7 Jul '25 | 22 Jun '25 | 22 Jun '25 |
Contact
Main addressDe Boelelaan 1105
1081 HV Amsterdam
020-5985020
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