Summer schools
On-Site
econ.intensivecourses@unsw.edu.au
Overview
The UNSW Sydney Summer School offers two courses: (i) Empirical Methods for Causal Inference and (ii) Expectations in Macroeconomics. These intensive graduate-level courses are aimed at students, researchers and professionals and provide a combination of lectures and practical examples. Taught by world-leading experts in the respective fields, our courses will bring participants to the current frontier of economic research.
Dates: December 9-13, 2024
Student fee: 750AUD/course
More information here: https://www.unsw.edu.au/business/study-with-us/economics-summer-school
Offered courses:
- Empirical Methods for Causal Inference: covers empirical methods used to estimate causal effects when using observational data.
- Expectations in Macroeconomics: covers an empirically motivated approach to modelling expectations in macroeconomics.
Empirical Methods for Causal Inference
Dates: December 9-13, 2024
Time: 13-16
Lecturer: Federico Masera
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
Expectations in Macroeconomics: Theory, Empirics and Policy
Dates: December 9-13, 2024
Time: 9-12
Lecturer: Bruce Preston
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.
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
UNSW Business School
2052 Kensington , Australia
