A comprehensive introduction to LPs in both time series and panel data settings.
Local Projections (LPs), introduced by Òscar Jorda` (2005), have rapidly become one of the most widely used tools in applied macroeconomic research and policy evaluation.
Their appeal lies in their transparency, ease of implementation, and flexibility, especially in contexts where the assumptions of traditional multivariate time series models, such as Vector Autoregressions (VARs), may not hold.
This course offers a comprehensive introduction to LPs in both time series and panel data settings. Participants will learn how to estimate impulse response functions, use external instruments, apply short- and long-run restrictions, and construct counterfactual scenarios. The course also covers cumulative multipliers and explores recent developments such as nonlinear and stratified LPs, decomposition techniques, and Bayesian smoothing.
This course is designed for Master’s and PhD students who want to build a solid understanding of Local Projections for their research, as well as for professionals working in central banks, policy institutions, or research departments who apply these methods in practice. Whether you’re diving into the topic for the first time or looking to strengthen your applied skills, this course offers valuable tools and insights for both academic and professional use.
The course includes five 2-hour sessions, each paired with a 2-hour tutorial focused on hands-on implementation and replication of empirical studies.
Theory and practice combined: Apply concepts directly through hands-on sessions designed to reinforce learning and support your own research.
Cutting-edge empirical methods: Go beyond VARs to explore LP-based estimation of impulse responses, cumulative multipliers, counterfactual scenarios, and heterogeneous effects in time series and panel data.
Bridge research and policy analysis: Build practical skills to implement and critically assess LP-based models in macroeconomic research, monetary and fiscal policy evaluation, and financial stability analysis.
Advanced empirical training: Work directly with MATLAB in guided tutorials that emphasize replicability, robustness, and transparency in time series and panel data applications.
Sharpen analytical thinking: Build problem-solving skills to tackle complex time series challenges across academic, policy, or industry contexts.
Personalized research support: Receive feedback on your own projects from instructors and peers to strengthen your applied research skills.
This course is specifically aimed at:
By the end of the course, participants will:
Structure of Sessions
Each session includes discussion of empirical papers addressing fiscal multipliers, monetary policy, financial instability, and international spillovers.
Take a look at the themes covered during this course.
The course is organized into five 2-hour sessions, plus one 2-hour tutorial for each session dedicated to hands-on implementation and replication of empirical studies.
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Are you thinking of applying to BSE Local Projections in Macroeconomics Education course? Check you meet the requirements below.
Requirements
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Instructors, topics, and schedules are subject to change.
Participants who attend at least 80% of the course will receive a Certificate of Attendance free of charge. Participants will not be graded or assessed during the course.
A 10% discount applies when the confirmation payment is completed on or before the announced Early Bird deadline.
Other course discounts are available. Find out more information in our Fees and Discounts pdf.
Fees for courses in other Executive Education programs may vary.
* Reduced Fee applies to PhD or Master’s students, Alumni of BSE Master’s programs, and participants who are unemployed.
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Sessions will be recorded and videos will be available for a month once the course has finished.
Fees for each course may vary. Please consult each course page for accurate information.
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