Supply and Demand Theory Applied to Obesity Healthcare Costs
This paper examines supply and demand economic theory as it applies to the diagnosis and treatment of obesity-related diseases in the United States. It analyzes the downward-sloping demand curve for obesity-related healthcare services and identifies key non-price factors — including population size, consumer preferences, income levels, and substitute service pricing — that shift demand. The paper then discusses the financial burden obesity places on public healthcare programs, particularly Medicaid and Medicare, using state-level expenditure estimates. Finally, it offers policy recommendations from a health economics perspective, including menu labeling and taxation of high-calorie beverages, to reduce obesity rates and contain long-term healthcare costs.
- The Demand Curve for Obesity-Related Healthcare: Applies standard demand curve theory to obesity care
- Non-Price Factors That Shift Healthcare Demand: Population, income, and preferences shift demand
- Medicaid and Medicare Expenditures for Obesity-Related Illness: Public funding burden of obesity treatment costs
- State-Level Cost Estimates and Funding Burdens: State-by-state Medicaid and Medicare obesity spending
- Policy Recommendations to Reduce Obesity-Related Costs: Menu labeling and soda taxes as cost-cutting tools
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What makes this paper effective
- Applies a standard economic framework (demand curve analysis) to a public health problem, making abstract theory concrete and policy-relevant.
- Uses specific dollar figures and state-level data to ground the argument in measurable, real-world evidence.
- Moves logically from theory to diagnosis of the problem to actionable recommendations, giving the paper a clear and purposeful structure.
Key academic technique demonstrated
The paper demonstrates the technique of disciplinary lens application — taking a well-established economic model (the demand curve and its shifters) and systematically applying it to a healthcare policy context. By explicitly naming non-price demand shifters such as income, consumer preferences, and substitute goods, the author shows command of microeconomic vocabulary while translating it into health economics terms relevant to obesity.
Structure breakdown
The paper opens by establishing the theoretical foundation — how healthcare functions as a demand-curve commodity. It then complicates this with the role of third-party payers. The middle sections shift to empirical evidence, presenting national and state-level Medicaid and Medicare cost data. The final section functions as a policy memo, offering concrete interventions. This three-part arc (theory → evidence → recommendation) is well-suited to applied economics writing at the undergraduate level.
The Demand Curve for Obesity-Related Healthcare
Healthcare services for obesity-related illnesses have a demand curve, just like other commercial services and goods — and this demand curve slopes downward. The same law of demand that applies to entertainment, clothing, automobiles, and other goods and services also applies here. Movements along this demand curve occur in response to consumer reactions to price changes in obesity-related care services. It is assumed that healthcare — which includes doctor visits, hospital bills, medication, and other health services — can be measured in standardized healthcare units (Bovbjerg, Dorn, Hadley, Holahan, and Miller, 2006).
The method of healthcare financing complicates demand curve analysis for obesity-related care. Nearly 80% of healthcare linked to obesity is funded by third-party payers, including government programs and private insurance firms such as Medicaid and Medicare. While price changes cause movements along the obesity-linked healthcare demand curve, other factors may also produce shifts in the demand curve itself (Manning, Newhouse, Duan, Keeler, Leibowitz, and Marquis, 2007).
Non-Price Factors That Shift Healthcare Demand
Several non-price factors can shift the demand curve for obesity-related healthcare:
Number of Consumers: As population grows, demand for obesity-related healthcare increases correspondingly.
Preferences and Tastes: Changes in consumer attitudes toward healthcare can lead to demand shifts. Physicians may also influence consumer preferences through treatment recommendations and prescriptions.
Income: Healthcare falls under the category of normal goods. Growing inflation-adjusted earnings among U.S. consumers cause a rightward shift in the demand curve for healthcare services.
Prices of Alternative Services: The price of substitute obesity-related services and goods can change, which in turn influences demand for other health services (Manning et al., 2007).
Medicaid and Medicare Expenditures for Obesity-Related Illness
Obesity negatively affects physical well-being and also places a significant financial burden on the healthcare delivery system, as it generates increased demand for treatment of obesity-linked health problems. Finkelstein, Fiebelkorn, and Wang, in a study conducted in January 2004, estimated that nearly $75 billion of U.S. public health costs in 2003 could be attributed to obesity, with approximately 50% of that cost funded publicly.
Three factors contribute to the growing burden of obesity treatment costs. First, the number of obese individuals is rising. Second, the cost of obesity-specific treatments is increasing. Third, demographic shifts in society — particularly a higher prevalence of obesity among older individuals — are compounding expenditures. The first factor, the increase in obese persons, is the most amenable to change. Healthcare specialists, individuals, employers, community leaders, and elected officials can all develop community and individual interventions to slow the rise in obesity. At the national level, the U.S. is projected to spend more than $343 billion on obesity-linked healthcare costs over the next decade if obesity rates continue rising at their current pace (Finkelstein et al., 2004).
References
Bovbjerg, R., Dorn, S., Hadley, J., Holahan, J., and Miller, D. (October 20, 2006). Caring for the uninsured in New York: What does it cost, who pays, and what would full coverage add to health care spending? Report, The Urban Institute, Washington, DC.
Finkelstein, E., Fiebelkorn, I., and Wang, G. (January 2004). State-level estimates of annual medical expenditures attributable to obesity. Obesity Research, 12(1), 18–24.
Manning, W., Newhouse, J., Duan, N., Keeler, E., Leibowitz, A., and Marquis, M. (2007). Health insurance and the demand for medical care: Evidence from a randomized experiment. American Economic Review, 77, 251–277.
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