Biography
Daniel Sacks joined the Wisconsin School of Business in June 2022 as a visiting Associate Professor in the Risk and Insurance Department.
Much of Professor Sacks’ research focuses on the intended and unintended consequences of social insurance programs, with an emphasis on Social Security and health insurance.
Prior to joining the Wisconsin School of Business, Professor Sacks served as an assistant and associate professor of business economics and public policy at Kelley School of Business at Indiana University. Professor Sacks earned his B.A. in Economics and History from Haverford College, and his Ph.D. in Applied Economics from The Wharton School, University of Pennsylvania.
Research
Selected Accepted Journal Articles
Kolb, A. & Pease, M. & Sacks, D. & Quick, J. (2022). Blind Disclosure American Economic Journal: Microeconomics
Sacks, D. & Menachemi, N. & Embi, P. & Wing, C. What can we learn about SARS-CoV-2 prevalence from testing and hospital data? Review of Economics and Statistics
Selected Published Journal Articles
Butters, R. & Sacks, D. & Seo, B. (2022). How do national chains respond to local cost shocks? American Economic Review
Gelber, A. & Jones, D. & Sacks, D. & Song, J. (2021). Using Nonlinear Budget Sets to Estimate Extensive Margin Responses: Evidence from the Earnings Test American Economic Journal: Applied Economics
Sacks, D. & Vu, K. & Huang, T. & Karaca-Mandic, P. (2021). How do insurance firms respond to financial risk sharing regulations? Evidence from the Affordable Care Act Health Economics
Lurie, I. & Sacks, D. & Heim, B. (2021). Does the individual mandate affect insurance coverage? Evidence from tax returns American Economic Journal: Economic Policy
Sacks, D. & Hollingsworth, A. & Nguyen, T. & Simon, K. (2021). Can policy affect initiation of addictive substance use? Evidence from opioids. Journal of Health Economics
Gelber, A. & Jones, D. & Sacks, D. & Song, J. (2020). The Employment Effects of the Social Security Earnings Test Journal of Human Resources
Gelber, A. & Jones, D. & Sacks, D. (2020). Estimating Adjustment Frictions Using Nonlinear Budget Sets: Method and Evidence from the Earnings Test American Economic Journal: Applied Economics
Lin, H. & Sacks, D. (2019). Intertemporal Substitution in Health Care Demand: Evidence from the RAND Health Insurance Experiment Journal of Public Economics