CEMFI Summer School 2024
Summer schools
Regular fees: 1000 - 2100 EUR
International Fees : 1000 - 2100 EUR
CEMFI SUMMER SCHOOL offers top-level training for academics, central bankers, and practitioners. Participants are exposed to the latest developments in each field. All courses take place within a five-day period and provide an intensive, rigorous, and in-depth analysis of the topics covered. Courses typically combine formal lectures, discussion sessions and, in some cases, workshop sessions where some participants can discuss their work. In more applied courses, practical classes outside the regular schedule are organized to provide additional hands-on experience. A course manager is assigned to each course to coordinate all activities. All courses are taught in person.
CEMFI is an independent non-profit foundation created by the Bank of Spain. CEMFI's faculty is committed to high-quality research, and faculty members publish in the most prestigious international journals. Moreover, CEMFI is widely known for its excellence in teaching. CEMFI occupies a beautiful 19th century palace located in a quiet area in the center of Madrid, between the Retiro Park and the Prado Museum.
The following 10 courses are offered in the 2024 edition:
19-23 August 2024
Difference-in-Differences with Panel Data by Jeffrey Wooldridge (Michigan State University)
26-30 August 2024
Causal Inference for Health and Social Scientists by Miguel Hernán (Harvard University)
DSGE and Time-Series Models for Macroeconomic and Policy Analysis by Marco del Negro (Federal Reserve Bank of New York)
New Developments in the Econometrics of Heterogeneous Workers and Firms by Elena Manresa (New York University)
2 – 6 September 2024
Macroeconomics and Climate Change by John Hassler (Institute for International Economic Studies, Stockholm University) and Per Krusell (Institute for International Economic Studies, Stockholm University)
Data Science for Economics: Mastering Unstructured Data by Christopher Rauh (University of Cambridge)
9 – 13 September 2024
Local Projection Methods for Time Series and Panel Data by Òscar Jordà (Federal Reserve Bank of San Francisco and UC Davis)
Machine Learning in Finance by Ansgar Walther (Imperial College)
Frontiers of Heterogeneous Agent Research: Theory, Methods, and Policy Implications by Kurt Mitman (CEMFI)
Quantitative Spatial Economics Within and Across Cities by Nick Tsivanidis (Berkeley Hass)
PREREQUISITES:
See the description of each course for prerequisites.
LANGUAGE REQUIREMENTS:
All courses are taught in English.
CLASS SIZE:
No more than 36 students in onsite courses.
AVERAGE % OF INTERNATIONAL STUDENTS:
Around 50%.
COURSE INSTRUCTORS/PROFESSORS:
Top academic professors in the area of economics and finance.
Academic fees are only applicable to full-time university faculty or full-time graduate students. PhD students may opt for an additional discount of EUR 400 by sending a letter and a CV addressed to the Director of the CSS (css@cemfi.es) before 14 June documenting the circumstances which might justify this discount.
Casado del Alisal, 5
28014 Madrid , Spain
