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Qihua Qiu

Associate Professor

Qihua Qiu

Associate Professor

Academic Appointment(s)

James M. Hull College of Business
Department of Hull College of Business

  • qqiu@augusta.edu
  • (706) 729-2200
  • AH E143

Education

  • Ph.D., Economics, Other Georgia State University, 2017

Courses Taught Most Recent Academic Year

  • ECON 6850

    Health Economics
  • ECON 3130

    Healthcare Econ. & Fin.
  • ECON 2106

    Microeconomics
  • ECON 4110

    Economic Model. & Forecasting

Teaching Interests

My teaching interests lie in microeconomics, health economics, and quantitative methods, such as economic modeling and forecasting. I am committed to helping students develop strong analytical and empirical skills while connecting economic theory to real-world applications in health and policy settings. Through active learning and data-driven instruction, I aim to equip students with tools for evidence-based decision-making.

Scholarship

Selected Recent Publications

  • School closures, youth driving restrictions, and COVID-19 transmission, 2025
    Journal Article, Academic Journal
  • The effects of COVID鈥�19 lockdown on the body weight and lifestyle behaviors of U.S. adults, 2024
    Journal Article, Academic Journal
  • The effects of graduated driver licensing on teenage body weight, 2021
    Journal Article, Academic Journal
  • Income Inequality and Health: New Methodology and an Application, 2021
    Journal Article, Academic Journal
  • Food recalls associated with foodborne disease outbreaks, United States, 2006鈥�2016, 2021
    Journal Article, Academic Journal

Research Interests

My research focuses on health economics and applied econometrics, with an emphasis on how public policies, such as Tobacco 21 laws and COVID-19 pandemic-mitigating policies, affect health behaviors and outcomes. I utilize large-scale nationally representative datasets and rigorous causal inference methods to produce evidence that informs public health and policy decisions. A core goal of my work is to advance equitable and data-driven approaches to improving population health.