ECO2031: Macroeconomic Theory II (PhD)

University of Toronto, 2020 Winter

Outline PDF Version       Weekly Course Schedule

Announcements

Instructor

 Teaching Assistant

Course Description

This course is the fourth and the last in 1st year PhD macroeconomics sequence and complements its predecessor ECO2030. The ultimate goal of this course is to learn how to develop a variety of quantitate models (that can be used to generate artificial data of both allocations and prices which can be meaningfully mapped to actual data) to give answers to macroeconomic questions. In this course, most (if not all) of the material will be studied from the strict theoretical point of view and the emphasis is on economic rigor. So, we will neither look at data in any serious manner nor computationally solve the models. Furthermore, this course is not a survey of topics in macroeconomics: The objective is not to give a review of known results of a specific topic but rather to give an example of how to use modern macroeconomic tools to tackle questions. 

Textbooks and Papers

Evaluation

Tentative List of Topics, Reading List and Slides 


Week #1: Introduction, Modern Macroeconomics Framework


Week  #1 and #2: Recursive equilibrium of stochastic and other variants of the neo-classical growth model. 


Week #3-1: Lucas Tree, Equity Premium Puzzle

  

Week #3-2: Economies with Heterogenous Agents: Measure Theory and Industry equilibrium


Week #4 and #5: Economies with Heterogenous Households: Permanent Income Hypothesis (PIH) and Standard Incomplete Markets (SIM) Models; Bewley, Huggett, Aiyagari and Krusell-Smith Models, Consumption insurance


Week #6: Endogenous Credit Constraints: Economies with Household Default and Unsecured Credit 


Week #6-2: Midterm Exam.