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Microeconometrics

Quantitative Methods for Public Policy Evaluation

Econometric Approaches to Public Policy Evaluation: Theory and Practice

17.5h (5 days)

€775 - €1,375

Face to Face

English

Program date: July 7 - 11, 2025

Early bird deadline: April 15, 2025

Learn more

Quantitative Methods for Public Policy Evaluation

Applications for 2025 Summer School programs are now open!

Apply

Summer school

Microeconometrics

Quantitative Methods for Policy Methods Content

This course explores econometric methods for policy evaluation, including RCTs, regression discontinuity, difference-in-differences, and synthetic control. Each approach is illustrated with real-world examples, and students will replicate key studies using Stata and R.

Teaching Faculty

Understand Causal Inference in Policy Evaluation

Upon the completion of the course, you will:

Gain proficiency in Econometric Evaluation approaches.
Enhance data analysis and coding skills through hands-on afternoon sessions.
Deepen your understanding of tools and knowledge needed for advanced research and policy evaluation.

Program Syllabus for Quantitative Methods for Policy Methods

What topics will you cover during this course:

Course outline

Randomized Evaluations (Experiments).
Natural Experiments.
Regression Discontinuity Designs.
Selection on Observables (Linear Regression, Matching).
Difference-in-Differences, Event Studies, Synthetic Control Methods.

List of References

The following texts will help you prepare for this course

Recommended texts

Abadie, A. and M. D. Cattaneo, 2018, “Econometric Methods for Program Evaluation,” Annual Review of Economics, 10: 465-503.
Imbens, G. W. and J. M. Wooldridge, 2009, “Recent Developments in the Econometrics of Program Evaluation,” Journal of Economic Literature, 47 (1): 5-86.
Imbens, G. W. and D. B. Rubin, 2015, “Causal Inference for Statistics, Social and Biomedical Sciences: An Introduction”, Cambridge: Cambridge University Press.

Software / Hardware

Participants must bring their own portable laptop to participate fully in this course.
STATA *

*students will be provided with data (STATA and R) and code in advance to be able to prepare.

Why join our Summer School?

All BSE Summer courses are taught to the same high standard as our Master’s programs. Join us to:

1

Network with like-minded peers.

2

Study in vibrant Barcelona.

3

Learn from world-renowned faculty.

Admissions and requirements

All BSE Summer School applicants must meet the entrance requirements.

Program date: July 7 - 11, 2025

Early bird deadline: April 15, 2025

Requirements

Summer School applicants normally demonstrate one or more of the following:

A strong background in Economics or a field closely related to the course topic (Statistics, Law, etc.).
Postgraduate degree or current Master’s/PhD studies related to the course topic.
Relevant professional experience.

Requirements for Quantitative Methods for Policy Methods

Participants should be familiar with basic concepts of statistics and econometrics.

Apply now

Schedule

Here is your schedule for this edition of BSE Microeconometrics Quantitative Methods for Policy Methods course.

Time

7

mon

8

tue

9

wed

10

thu

11

fri

09:00 - 11:00

Lecture

14:30 - 16:00

Practical

Credit transfers (ECTS)

To be eligible for credit transfer, students must complete a final project.

Students will deliver a short final project one week after the summer school finishes.

It will consist of completing an assignment that will include the practical and empirical issues worked on in class.

Consult the Summer School Admissions page for more information about this option.

Certificate of Attendance

Participants not interested in credit transfer will instead receive a Certificate of Attendance free of charge. These Participants will not be graded or assessed during the course.

Fees for 2025

Multiple course discounts are available, see more information about available discounts. Fees for courses in other Summer School programs may vary

Course

Panel Data and Spatial Panels

Econometrics of Cross-section Data with Applications

Dynamic Structural Models for Policy Evaluation

Quantitative Methods for Public Policy Evaluation

Estimation in High-Dimensional Models

Difference-in-Differences with Panel Data

Dynamic and Non-linear Panel Data Models

Modality

Face to Face

Total Hours

17.5

ECTS

1

Regular Fee

1,375€

Reduced Fee*

775€

FAQ’s

Here are some commonly asked questions by participants. Any further queries, please contact our Admissions Team.

Is accommodation included in the course fee?

Accommodation is not included in the course fee. Participants are responsible for finding accommodation.

Are the sessions recorded?

Sessions will be recorded and videos will be available for a month once the course has finished.

How much does each Summer School course cost?

Fees for each course may vary. Please consult each course page for accurate information.

Are there any discounts available?

Yes, BSE offers a variety of discounts on its Summer School courses. See more information about available discounts or request a personalized discount quote by email.