Courses are taught by experienced professors from VSE and LimaSE’s associate members, all experts in their fields. This program is ideal for postgraduate and advanced undergraduate students from Latin America and around the world, as well as recent graduates and professionals in economics who want to deepen their knowledge and skills.
Take part in this unique opportunity to learn from top researchers, connect with peers, and strengthen your expertise in a dynamic and supportive environment.
The Vancouver School of Economics (VSE) is excited to collaborate once again with the Lima School of Economics for the 2025 Lima Summer School. This partnership reflects our shared commitment to fostering academic growth and creating opportunities for students and young professionals across South America and beyond. For the 2025 edition, VSE faculty will offer two cutting-edge courses: Machine Learning for Economics, taught by Dr. Vadim Marmer, and Empirical Methodologies in Environmental Economics, taught by Dr. Patrick Baylis. These courses are designed to equip participants with advanced tools and methodologies to tackle real-world economic challenges, providing valuable insights into two of the most dynamic areas of modern economics.
This program is a fantastic opportunity to learn directly from leading researchers, engage with peers, and build skills that will elevate your academic or professional career. We hope to see you in Lima in 2025!
We are excited to announce the eighth edition of the Lima Summer School in Economics, organized in collaboration with the prestigious Vancouver School of Economics (British Columbia, Canada). This program offers an exceptional opportunity for young economists to deepen their knowledge, enhance their skills, and explore the latest developments in applied economics.
Designed with aspiring economists in mind, the Summer School is particularly valuable for students preparing to pursue master’s or doctoral studies, as well as advanced undergraduates looking to strengthen their foundations for an advanced career in economics. It also provides practical insights for professionals working in government agencies, NGOs, or private firms, equipping them with tools to tackle complex challenges in policy design, implementation, and evaluation.
Held entirely in person at our Lima campus, the Summer School fosters an engaging and collaborative learning environment, where participants can interact directly with professors and peers from around the globe. It’s a unique chance to build your academic network, exchange ideas, and develop skills that will set you apart in the field of economics.
We look forward to welcoming you to Lima in 2025!
This mini-course will survey common empirical methods and topics covered in contemporary environmental economics. Each lecture will pair a method with a topic area. Planned lectures pairs include: introduction to empirical designs in environmental economics, regression discontinuity and environmental policy evaluation, differencing estimators and the health effects of pollution, fixed effects and the impacts of climate change, instrumental variables and permit trading systems, and hedonic methods and natural disasters.
Dr. Patrick Baylis is an Assistant Professor and environmental economist at the Vancouver School of Economics, University of British Columbia (UBC). He obtained his PhD in Agricultural and Resource Economics at the University of California, Berkeley. His research focuses on human responses to environmental challenges such as wildfires, air pollution, and extreme temperatures. Recent projects include evaluating factors affecting home survival during wildfires, analyzing federal wildfire suppression subsidies, and assessing how temperature influences climate-related discussions on social media. His work often involves large datasets, natural language processing, and spatial data, primarily using R.
While traditional machine learning (ML) methods have been developed for prediction problems, in economics we are typically interested in estimation of structural or causal relationships. In this mini course, we will focus on Lasso-based ML methods such as Double/Post-Lasso that were recently developed specifically for the purpose of inference on structural or causal parameters. We will discuss the need for ML methods in empirical work in economics, the statistical properties of Lasso-based methods, and their applications.
Dr. Marmer is a Professor at Vancouver School of Economics.
He received his undergraduate and Master’s degrees in Economics from the Hebrew University of Jerusalem, Israel. He worked at the Bank of Israel and taught as an instructor at the Hebrew University before continuing to PhD studies at Yale University in New Haven, USA. He received his PhD in Economics from Yale in 2005.
His main area of research is econometrics, where he has been working on the issues of misspecification, identification, statistical inference for auctions, and nonlinear and non-stationary time series. He has published several scholarly papers including seven papers in Journal of Econometrics, which is a leading scholarly journal in econometrics.
In markets, information asymmetries occur when one individual has more or better information than the others. This imbalance can result in significant inefficiencies and even market failures. For example, a firm may be reluctant to participate in a profitable collaborative project with a competitor because of the risks of leaking sensitive information that may affect its competitive position in the market. On online platforms like eBay or Amazon, multiple sellers competing to attract buyers with better information about their tastes may design strategies (such as private discounts or personalized offers) that allow them to extract this information and achieve favorable outcomes while maintaining competition.
This mini-course introduces the students to the concepts of information economics that lie at the heart of modern economics and applies them to the analysis of decision-making and strategic interaction under limited and asymmetric information. We will start with an overview of key tools and concepts and then examine some of their practical applications in the real world. Some of these applications include collusion, business partner selection, and information acquisition and dissemination. The emphasis will be on the role of models in economics and how they can help us understand how information asymmetries affect market outcomes.
Dr. Cristián Troncoso-Valverde is a microeconomist affiliated with the Institute for Economic Policies at FEN-UNAB, an associate member of the Lima School of Economics and a board member of the Chilean Economic Society (SECHI). He holds a Ph.D. in Economics from the Vancouver School of Economics at the University of British Columbia, where he was supervised by Prof. Michael Peters. His research focuses on mechanism design, strategic management, and applied theory, with recent interests in the strategic use of information and its effects on market competition. Dr. Troncoso-Valverde's work has been published in leading journals in the field, including Economic Theory, the Journal of Economic Theory and the European Journal of Operational Research
The 2025 Lima Summer School in Economics will take place at the Lima Campus of Universidad de Piura (UDEP), from February 17st to February 26th 2022.
UDEP Lima Campus is located at Calle Mártir José Olaya 196, in the Miraflores District.
Courses will be held on afternoons according to the following schedule:
Important:
In all courses the student must attend at least 80% of the sessions to be awarded an attendance certificate.
Program fees as a function of the total number of courses in which the participant registers:
| Course Name | General public | Undergrad and graduate students | Undergrad and graduate students from public universities |
|---|---|---|---|
| One 12-hour course | US$ 500 | US$ 400 | US$ 250 |
| One 10-hour course | US$ 400 | US$ 320 | US$ 200 |
| Two 12-hour courses | US$ 800 | US$ 640 | US$ 400 |
| One 12-hour and one 10-hour course | US$ 720 | US$ 576 | US$ 360 |
| Full Program (all three courses) | US$ 1000 | US$ 800 | US$ 500 |
Discounts:
A 10% discount over the amounts indicated above will be applied to those individuals who register by January 10th, 2025. This discount only applies to the general public fees.
UDEP alumni and participants of the previous Summer School editions are eligible for an 5% discount. This discount applies to all type of fees.
Corporate discounts are also available for those institutions interested in registering at least 5 participants. For more information about our institutional discounts, please contact us at summerschool@udep.edu.pe. Corporate discounts cannot be combined with any other discount.
Payment instructions will be provided to admitted candidates by the Summer School Admissions Office.
At the conclusion of the Summer School, participants will receive a certificate indicating the courses and the number of total hours attended.
Application for the 2025 Lima Summer School in Economics begins on December 1st, 2024.
The deadline to apply is January 31st, 2025. Please take into consideration that courses capacity is quite limited, and some courses may close way before this deadline.
To apply for the Summer School, prospective students should fill and submit the following online registration form. Candidates will be informed of their acceptance decision on a rolling basis.
Payment instructions will be provided to those admitted into the program.
Online Registration Form
LimaSE will award a limited number of Full and Partial Scholarships to a selected group of candidates for the 2025 Lima Summer School in Economics.
In addition to filling the Online Registration Form, individuals interested in being considered for the Summer Scholarship must also submit scanned copies of the following documentation before December 20th, 2024 to the email address summerschool@udep.edu.pe:
Scholarships will be awarded on a merit basis, and the Award Committee decisions will be based on the information provided by the candidates in their application documents.
Only those who apply to the full program (all three courses) will be considered for the LimaSE Summer Scholarship.
The Summer Scholarship only covers the tuition costs and doesn´t include travel or accommodation expenses. Participants from outside Lima should make their own arrangements in order to cover these costs.
In this video, Dr. David Green (PhD Standford), Professor at Vancouver School of Economics-UBC, talks about his experience teaching an 2020 LimaSE- VSE Summer School. Also, Sandra Buzinsky, from Canada, talks about her learning experience in Lima at our Summer School.
Our international students from Colombia and Argentina, share their experience at our Lima Summer School. Also Dr. Alejandro Arrieta, comments on the course on Economic Evaluation Methods in Health he taught during the 2020 summer school.
Since 2022, LimaSE and VSE have established a partnership with Econthaki, through which participants in Econthaki programs can access full tuition scholarships to attend the Lima Summer School.
For the year 2025, 10 participants from Econthaki programs will receive this benefit.
These scholarships are directly assigned by Econthaki.
To learn more about Econthaki and its programs, please visit https://econthaki.github.io/.