Program
Who is this program for?
The Economics Summer School of UNSW Sydney is taught at the graduate level. As such, it is ideal for current (or aspiring) graduate students, but also for participants from Central banks, government institutions, thinktanks or private companies with needs in economic analysis.
Our program provides its participants with at least three key benefits. First, it offers a deep dive into state-of-the-art approaches in Economics. Second, it also equips its participants with practical skills necessary for independent economic analysis in the future. Finally, aside from the coursework itself, our program offers an excellent networking and socializing opportunity. Sign up to our program, enhance your economic knowledge and expand your network!
Course delivery
The Economics Summer School is a full day (9am-4pm) event held in person at UNSW Business School. However, we have designed our schedule to allow for the possibility of attending only half of the program and enrolling only into the morning or afternoon sessions, respectively.
The program will be taking place in Room 207, Level 2, UNSW Business School building E12.
Morning session
Expectations in Macroeconomics:
Theory, Empirics and Policy
Dates: December 9-13, 2024
Time: Mornings, 9:00-12:00
Lecturer:
This graduate-level course introduces an empirically motivated approach to modelling expectations in macroeconomics. Emerging as part of the rational expectations revolution, adaptive learning models were intended to provide a foundation for rational expectations equilibrium. This course argues that such models should be of independent interest to macroeconomists, providing a compelling behavioural theory of expectations formation that is coherent with observed data, and permits analysis of many policy-relevant questions.Â
The lectures cover the following topics:
Preliminaries: Some history, tools and techniques for the analysis of adaptive learning models; conceptual issues that arise when incorporating learning into models of intertemporal decision making
Empirical foundations of adaptive learning: evidence from reduce-form and structural models
Challenges for stabilization policy, including monetary and fiscal interactions
Asset pricing under non-rational expectations
Afternoon session
Empirical Methods for Causal Inference
In this graduate-level course we will study empirical methods used to estimate causal effects when using observational data. The focus is on providing an understanding and intuition of the most popular causal empirical methods, as they are used by practitioners. The main topics covered are:
Potential outcomes framework
Partialling-out
Inference
Difference-in-Differences
Regression Discontinuity
Instrumental Variables