EML Research

The Economic Machine Learning Lab produces and supports research at the intersection of economics, econometrics, machine learning, artificial intelligence, and applied data science.

This page highlights recent publications and ongoing projects, with a collapsible archive for additional working papers and related research.

Research Highlights

Understanding regressions with observations collected at high frequency over long span

Yoosoon Chang, Ye Lu, and Joon Y. Park
Quantitative Economics 16 (2025), 405–457
Paper

Accounting for Individual-Specific Heterogeneity in Intergenerational Income Mobility

Chang, Y., Durlauf, S. N., Hu, B., & Park, J. Y.
Sociological Methods & Research (2025)
Paper

COVID Mortality Prediction Pre and Post Vaccine Availability

Yoosoon Chang, Sangmyung Ha, Joon Y. Park, and Kosali Simon
Abstract

Using Machine Learning to Identify and Extract Climate-Driven Fluctuations in Peak Electricity Demand

Yoosoon Chang, Yongok Choi, and Joon Y. Park
Abstract

Market Returns Dormant in Option Panels

Yoosoon Chang, Youngmin Choi, Soohun Kim, and Joon Y. Park
Abstract

Using SVM to Estimate and Predict Large Dimensional Binary Choice Models

Yoosoon Chang, Joon Y. Park, and Guo Yan
Abstract
Publication Archive

Working Papers

  • Shocking Climate: Identifying Economic Damages from Anthropogenic and Natural Climate Change
    Yoosoon Chang, J. Isaac Miller and Joon Y. Park
    Paper
  • The Influence of Fiscal and Monetary Policies on the Shape of the Yield Curve
    Yoosoon Chang, Fabio Gomez-Rodriguez and Christian Matthes
    CAEPR Working Papers 2023-008 · CAEPR Working Paper
  • Oil and the Stock Market Revisited: A Mixed Functional VAR Approach
    Hilde Bjornland, Yoosoon Chang and Jamie L. Cross
    Norges Bank Working Paper · Paper
  • The Effects of Economic Shocks on Heterogeneous Inflation Expectations
    Yoosoon Chang, Fabio Gomez-Rodriguez and Gee Hee Hong
    IMF Working Paper · Paper
  • A Trajectory-based Approach to Measuring Intergenerational Mobility
    Yoosoon Chang, Steven N. Durlauf, Seunghee Lee and Joon Y. Park
    NBER Working Paper 31020 · Paper