Assistant Professor of Economics
University of Texas at Dallas
Email 1 : camilo.granados@utdallas.edu
Email 2 : cagranados8@gmail.com
Website Links:
Research
Teaching
Other materials
External Links:
Google Scholar Page
IDEAS/RePEc
ORCID
Instructor: Camilo Granados
Class Time and Location: Monday 7:00-9:45 PM, CB 1.210
Course Office Hours: GR 2.820, Monday 4:00-6:00 PM or by appointment (in person and on Teams)
Email: Camilo.granados@utdallas.edu
Website: https://cagranados.github.io/msmacro.html
This course explores modern theories of macroeconomic fluctuations. The goal is to introduce students to the seminal frameworks of contemporary macroeconomics and equip them with relevant analytical and empirical techniques for understanding advanced macroeconomic analyses. The course will cover topics from the monetary theory of business cycles, monopolistic competition, dynamics of price adjustments, financial frictions, consumption theories and, through group projects, provide students opportunities to explore additional topics such as optimal monetary policy, dynamic stochastic general equilibrium (DSGE) analyses, the COVID-19 or “lockdown” recession, and so on.
I. OVERVIEW AND INTRODUCTION
II. THE REAL BUSINESS CYCLES MODEL
III. MONETARY THEORIES OF THE BUSINESS CYCLE
IV. CONSUMPTION AND AGGREGATE DEMAND
V. MONETARY POLICY AND THE BASIC NEW KEYNESIAN MODEL
VI. FINANCIAL FRICTIONS AND THE MACROECONOMY
VII. APPLICATIONS AND ADDITIONAL TOPICS IN MACROECONOMICS (To be explored as much as time allows)
Problem set 0: due date 2/3 [Problem Set]
Problem set 1: due date 2/17 [Problem Set] [code_q2] [hpfilter.m]
Problem set 2: due date 3/3 [Problem Set]
Problem set 3: due date 3/31 [Problem Set]
Problem set 4: due date 4/14 [Problem Set] [Calvo handout] [dynare code]
Problem set 5: due date 4/28 [Problem Set]
[code Gali Ch2]
[code Gali Ch3]
Midterm 1: 3/10
Final exam: Time TBD (5/5 or final examination week)
(this is updated on a regular basis)
Now: Topic 7 - Final Presentations
Next: Final Exam
Topic 1: [Slides]
Topic 2: [Slides] [RBC simple IRFs]
Topic 3: [Slides]
Topic 4: [Slides]
Topic 5: [Slides]
Topic 6: [Slides]
Technical slides: these slides cover technical details about some of the topics above and software instructions (MATLAB and Dynare)
1: Intro to stochastic processes, time series and MATLAB [Slides]
2: Constrained optimization and monopolistic competition [Slides]
3: Intro to local solution methods and Dynare [Slides]