Advanced Econometrics 2: Methods for Macroeconometric Research

New School for Social Research: Economics

Liberal Arts

Graduate Course

Degree Students (with Restrictions)

Advanced Econometrics 2

Spring 2019

Taught By: Christian Schoder

Section: A

CRN: 5462

Credits: 3

This course builds on Advanced Econometrics 1 and seeks to familiarize students with a set of Bayesian methods recently developed for estimating and evaluating linear and non-linear macroeconomic models. In particular, the course will focus on Bayesian filtering methods such as Kalman filtering, unscented Kalman filtering, and particle filtering, which allow us to estimate non-linear models with unobserved variables and time-varying parameters. These methods will be applied to post-Keynesian Stock-Flow Consistent models, Dynamic Stochastic General Equilibrium models, and Dynamic Stochastic Disequilibrium models. Each topic will be covered in theory sessions as well as in application sessions. The course will be held in seminar style. Active student participation will be encouraged by appropriate assignments on the required readings. Students are expected to apply the methods discussed in small-scale projects and finish a research paper until the end of the term. Students will be encouraged to use this paper for their dissertation.

College: New School for Social Research (GF)

Department: Economics (GECO)

Campus: New York City (GV)

Course Format: Tutorial (J)

Max Enrollment: 12

Enrollment Status: Open*

*Enrollment status information is updated every five minutes. The status of this course may have changed since the last update. Open seats may have restrictions that will prevent some students from registering. Updated: 4:40pm 6/18/2019

Meeting Info:

Days: Wednesday

Times: 6:00pm - 7:50pm

Building: 6 East 16th Street

Room: 1005

Date Range: 1/23/2019 - 5/8/2019