Photo of Nathan M. Palmer

Nathan M. Palmer

Education

  • Ph.D., Computational Social Science, George Mason University, 2015
  • M.A., Economics, Boston University, 2011
  • B.S., Computer Science, Trinity University, 2005
Current Research Topics
  • Simulation-based estimation & selection
  • Agent-Based Models: agent behavior & estimation
  • Economist

    Board of Governors of the Federal Reserve System

    2018 - present
  • Researcher

    Office of Financial Research, U.S. Treasury

    2016 - 2018
  • Carroll, Christopher D., Alexander M. Kaufman, Jacqueline L. Kazil, Nathan M. Palmer, and Matthew N. White (2018). "The Econ-ARK and HARK: Open Source Tools for Computational Economics," Proceedings of the 17th Python in Science (SciPy) Conference 2018.
  • McLaughlin, Joe, Adam Minson, Nathan Palmer, and Eric Parolin (2018). "The OFR Financial System Vulnerabilities Monitor," Working Paper, no. 18-01. Office of Financial Research.
  • Geanakoplos, John, Robert Axtell, J. Doyne Farmer, Peter Howitt, Benjamin Conlee, Jonathan Goldstein, Matthew Hendrey, Nathan M. Palmer, and Chun-Yi Yang (2012). "Getting at Systemic Risk via an Agent-Based Model of the Housing Market," American Economic Review: Papers and Proceedings, vol. 102, no. 3, pp. 53-58.
  • conference

    2018

    Eastern Economic Association

    A Simple Direct Estimate of Rule-of-Thumb Consumption using the Method of Simulated Quantiles and Cross-Validation

  • conference

    2017

    Computing in Economics and Finance

    A Simple Direct Estimate of Rule-of-Thumb Consumption using the Method of Simulated Quantiles and Cross-Validation

  • conference

    2016

    Computing in Economics and Finance

    Regret Learning: Learning to Optimize from Individual Experience

  • conference

    2016

    International Congress on Agent Computing, George Mason University

    Regret Learning: Learning to Optimize from Individual Experience

  • conference

    2015

    Computing in Economics and Finance

    The Heterogeneous-Agent Computational toolKit: An Extensible Framework for Solving and Estimating Heterogeneous-Agent Models

  • discussion

    2016

    Zurich Initiative on Computational Economics (ZICE)

    Learning to Consume: Individual versus Social Learning

  • conference

    2014

    NSF IPAM Workshop: Mathematics of Social Learning

    Learning to Consume: Individual versus Social Learning

  • conference

    2012

    Computing in Economics and Finance

    Learning to Consume: Individual versus Social Learning

  • seminar

    2011

    Santa Fe Institute

    Getting at Systemic Risk via an Agent-Based Model of the Housing Market: Empirical and Theoretical Details

Awards
  • 2016

    Office of Financial Research

    Leadership Award

Conference Organization
  • September 2017 | Washington, DC

    Heterogeneous Agents and Agent-Based Modeling: The Intersection of Policy and Research

    Organizer

Referee
  • Macroeconomic Dynamics
  • PLOS One
Last update: September 23, 2019