Behavioral Economics
Public Policy
Empowering Policies with Data-Driven Insights


Innovating Public Policy
Empirical Insights for Sustainable Decisions
Areas of Focus:
- Developing Hypothetical Purchase Task (HPT) Questionnaires: One notable area of focus has been developing and validating Hypothetical Purchase Task (HPT) questionnaires (Reed, Gelino, et al., 2022; Roma et al., 2016, 2017). These questionnaires, grounded in operant behavioral economics, provide a scalable and cost-effective means to gather empirical data on consumer motivation and decision-making.
- Versatile Application: Originally utilized in addiction research to understand demand for drugs of abuse, HPTs have proven to be versatile tools applicable to a wide range of consumer goods and services.
- Informing Policy: By modeling demand curves based on hypothetical scenarios, these tasks yield rich quantitative data that can inform policy decisions in public health, marketing, and environmental sustainability.
Building on Foundational Research
Our team has applied behavioral economic principles to evaluate and predict the impact of various public policies (Hursh, 1991; Hursh & Roma, 2013; Reed, Gelino, et al., 2022; Reed, Strickland, et al., 2022).
Demand Curve Methods
For instance, our work has demonstrated how demand curve methods can quantify the elasticity of demand for essential commodities, offering a reliable metric for assessing policy interventions. This approach has been instrumental in shaping policies related to:
- Drug control
- Pricing
- Public transportation
Impact Studies
Drug Use Impact
The elasticity of demand for substances has been used to model the potential impact of public policy on drug use, supporting the development of effective drug control policies (Hursh, 1991; Kaplan & Reed, 2018).
Transportation Policy
Our research on transportation choices has provided empirical data to support investments in infrastructure projects aimed at reducing carbon emissions and promoting sustainable travel (Gelino et al., 2024; Zhu et al., 2020).
Behavioral Economics in Crisis Response
Adapting Methods
Recognizing the limitations of traditional applied methods in rapidly evolving scenarios, we adapted behavioral economic frameworks to generate timely and relevant data for public health decision-making.
Preventive Behaviors
For instance, our studies leveraged hypothetical discounting and demand tasks to assess people’s willingness to engage in preventive behaviors such as social distancing and to gauge demand for diagnostic testing under varying cost scenarios (Hursh et al., 2020; Strickland, Reed, Dayton, et al., 2022; Strickland, Reed, Hursh, et al., 2022).
Informing Policy
These approaches have yielded critical insights into behavioral mechanisms underlying health-related decisions, demonstrating how behavioral economics can be swiftly and effectively leveraged to inform public health policy and crisis management.

Explore key resources tailored to
behavioral economics public policy
References for
Behavioral Economics Public Policy
- Gelino, B. W., Graham, M. E., Strickland, J. C., Glatter, H. W., Hursh, S. R., & Reed, D. D. (2024). Using behavioral economics to optimize safer undergraduate late-night transportation. Journal of Applied Behavior Analysis, 57(1), 117–130. Read more
- Hursh, S. R. (1991). Behavioral economics of drug self-administration and drug abuse policy. Journal of the Experimental Analysis of Behavior, 56(2), 377–393. Read more
- Hursh, S. R., & Roma, P. G. (2013). Behavioral economics and empirical public policy. Journal of the Experimental Analysis of Behavior, 99(1), 98–124. Read more
- Hursh, S. R., Strickland, J. C., Schwartz, L. P., & Reed, D. D. (2020). Quantifying the impact of public perceptions on vaccine acceptance using behavioral economics. Frontiers in Public Health, 8, 877. Read more
- Jarmolowicz, D. P., Reed, D. D., Bruce, A. S., & Bruce, J. M. (2019). On the behavioral economics of medication choice: A research story. Behavioural Processes, 165, 66–77. Read more
- Jarmolowicz, D. P., Reed, D. D., Bruce, A. S., Lynch, S., Smith, J., & Bruce, J. M. (2018). Modeling effects of side-effect probability, side-effect severity, and medication efficacy on patients with multiple sclerosis medication choice. Experimental and Clinical Psychopharmacology, 26(6), 599–607. Read more
- Jarmolowicz, D. P., Reed, D. D., Francisco, A. J., Bruce, J. M., Lemley, S. M., & Bruce, A. S. (2018). Modeling effects of risk and social distance on vaccination choice. Journal of the Experimental Analysis of Behavior, 110(1), 39–53. Read more
- Kaplan, B. A., & Reed, D. D. (2018). Happy hour drink specials in the alcohol purchase task. Experimental and Clinical Psychopharmacology, 26(2), 156–167. Read more
- Reed, D. D., Gelino, B. W., & Strickland, J. C. (2022). Behavioral economic demand: How simulated behavioral tasks can inform health policy. Policy Insights from the Behavioral and Brain Sciences, 9(2), 171–178. Read more
- Reed, D. D., Strickland, J. C., Gelino, B. W., Hursh, S. R., Jarmolowicz, D. P., Kaplan, B. A., & Amlung, M. (2022). Applied behavioral economics and public health policies: Historical precedence and translational promise. Behavioural Processes, 198, 104640. Read more
- Roma, P. G., Hursh, S. R., & Hudja, S. (2016). Hypothetical purchase task questionnaires for behavioral economic assessments of value and motivation. Managerial and Decision Economics, 37(4–5), 306–323. Read more
- Roma, P. G., Reed, D. D., DiGennaro Reed, F. D., & Hursh, S. R. (2017). Progress of and prospects for hypothetical purchase task questionnaires in consumer behavior analysis and public policy. Behavior Analyst, 40(2), 329–342. Read more
- Strickland, J. C., Reed, D. D., Dayton, L., Johnson, M. W., Latkin, C., Schwartz, L. P., & Hursh, S. R. (2022). Behavioral economic methods predict future COVID-19 vaccination. Translational Behavioral Medicine, 12(10), 1004–1008. Read more
- Strickland, J. C., Reed, D. D., Hursh, S. R., Schwartz, L. P., Foster, R. N. S., Gelino, B. W., LeComte, R. S., Oda, F. S., Salzer, A. R., Schneider, T. D., Dayton, L., Latkin, C., & Johnson, M. W. (2022). Behavioral economic methods to inform infectious disease response: Prevention, testing, and vaccination in the COVID-19 pandemic. PLoS ONE, 17(1 January), e0258828. Read more
- Zhu, X., Wang, F., Chen, C., & Reed, D. D. (2020). Personalized incentives for promoting sustainable travel behaviors. Transportation Research Part C: Emerging Technologies, 113, 314–331. Read more