RESEARCH COLLOQUIUM ON COMPUTATIONAL SOCIAL SCIENCE/DATA SCIENCES – John Schuler – The Econometrics of Prices in a Network Economy

When:
November 8, 2019 @ 3:00 pm – 4:00 pm
2019-11-08T15:00:00-05:00
2019-11-08T16:00:00-05:00
Where:
CENTER FOR SOCIAL COMPLEXITY SUITE, 3RD FLOOR, RESEARCH HALL
Cost:
Free
Contact:
Karen Underwood
7039939298

Research Colloquium on Computational Social Science/Data Science

John Schuler
PhD Student
Department of Economics
George Mason University

The Econometrics of Prices in a Network Economy

Friday, November 08, 3:00 p.m.
Center for Social Complexity Suite, 3rd Floor Research Hall

All are welcome to attend.

Abstract:
According to classical economic theory, removing money from the economy should result in prices falling. However, there is some evidence of so-called Cantillon effects where some prices initially move in the wrong direction. There exists an agent-based model that replicates this phenomenon using a network model. My focus is on the econometric plausibility of this model. I will demonstrate a preliminary statistical model to defend the assumptions made for the agent-based model.
Bio:
John Schuler is a fifth year PhD student in the Department of Economics at George Mason University. John graduated from American University with an MS in statistics in 2017 and from St. John’s College with a BA in liberal arts in 2009. He also spent a year at the University of Maryland, College Park studying mathematics post-baccalaureate, and more recently he spent the Spring 2018 semester as a visiting assistant professor at Washington College. His research interests involve the interface of computer science and economics as well as agent based macroeconomics.