GECO

6110

Advanced Math Methods & Modeling

New School for Social Research: Economics

Liberal Arts

Graduate Course

Degree Students (with Restrictions)

Adv Math Methods & Modeling

Spring 2020

Taught By: Duncan Foley

Section: A

CRN: 6729

Credits: 3

This course will survey mathematical and statistical modeling methods widely used in economic research, organized around the “info-metric” meta-theory developed by Amos Golan and his associates. The topics will include: review of econometric methods as joint distribution estimation from a Bayesian point of view entropy and constrained entropy maximization in underdetermined systems; constrained maximization in convex and non-convex problems; linear dynamic models; non-linear dynamic models; equilibrium concepts from general equilibrium theory and game theory; Bowles’ program of explanation in social science; Markov models including agent-based models; information theory; Bayesian inference; and maximum entropy statistical equilibrium models. In each case the relevant mathematical and statistical formalisms will be explained and illustrated by examples from current political economy, together with a critical review of recent published and working paper research.

College: New School for Social Research (GF)

Department: Economics (GECO)

Campus: New York City (GV)

Course Format: Seminar (R)

Max Enrollment: 12

Add/Drop Deadline: February 3, 2020 (Monday)

Online Withdrawal Deadline: April 12, 2020 (Sunday)

Seats Available: No

Status: Closed*

*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: 10:50am 12/6/2019 EST

Meeting Info:

Days: Thursday

Times: 4:00pm - 5:50pm

Building: TBD

Room: TBD

Date Range: 1/23/2020 - 5/7/2020

Days: Wednesday

Times: 8:00pm - 9:50pm

Building: TBD

Room: TBD

Date Range: 1/29/2020 - 5/6/2020