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The impact of changes in county public health expenditures on general health in the population

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  • Brown, Timothy T.
  • Martinez-Gutierrez, Maria S.
  • Navab, Bahar

Abstract

We estimate the effect of changes in the per capita expenditures of county departments of public health on county-level general health status. Using panel data on 40 counties in California (2001–2009), dynamic panel estimation techniques are combined with the Lewbel instrumental variable technique to estimate an aggregate demand for health function that measures the causal cumulative impact that per capita public health expenditures have on county-level general health status. We find that a $10 long-term increase in per capita public health expenditures would increase the percentage of the population reporting good, very good or excellent health by 0.065 percentage points. Each year expenditures were increased would result in ∼24,000 individuals moving from the ‘poor or fair health’ category to the ‘good, very good or excellent health’ category across these 40 counties. In terms of the overall impact of county public health departments on general health status, at current funding levels, each annual expenditure cycle results in over 207,000 individuals being in the ‘good, very good or excellent’ categories of health status rather than the ‘poor or fair’ categories.

Suggested Citation

  • Brown, Timothy T. & Martinez-Gutierrez, Maria S. & Navab, Bahar, 2014. "The impact of changes in county public health expenditures on general health in the population," Health Economics, Policy and Law, Cambridge University Press, vol. 9(3), pages 251-269, July.
    • Handle: RePEc:cup:hecopl:v:9:y:2014:i:03:p:251-269_00
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    Cited by:

    1. Craig Arthur Gallet, 2017. "The Impact of Public Health Spending on California STD Rates," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 23(2), pages 149-159, May.
    2. Bernet, Patrick M. & Gumus, Gulcin & Vishwasrao, Sharmila, 2018. "Effectiveness of public health spending on infant mortality in Florida, 2001–2014," Social Science & Medicine, Elsevier, vol. 211(C), pages 31-38.
    3. Gnangnon, Kimm & Moser, Constance Besse, 2014. "Intellectual property rights protection and export diversification: The application of utility model laws," WTO Staff Working Papers ERSD-2014-19, World Trade Organization (WTO), Economic Research and Statistics Division.
    4. Timothy Tyler Brown & Vishnu Murthy, 2020. "Do public health activities pay for themselves? The effect of county‐level public health expenditures on county‐level public assistance medical care benefits in California," Health Economics, John Wiley & Sons, Ltd., vol. 29(10), pages 1220-1230, October.
    5. Yia-Wun Liang & Wen-Yi Chen & Yu-Hui Lin, 2015. "Estimating a Hospital Production Function to Evaluate the Effect of Nurse Staffing on Patient Mortality in Taiwan: The Longitudinal Count Data Approach," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 154-169, December.
    6. Awaworyi Churchill, Sefa & Smyth, Russell, 2021. "Energy poverty and health: Panel data evidence from Australia," Energy Economics, Elsevier, vol. 97(C).
    7. Yoon, Jangho & Luck, Jeff, 2016. "Intersystem return on investment in public mental health: Positive externality of public mental health expenditure for the jail system in the U.S," Social Science & Medicine, Elsevier, vol. 170(C), pages 133-142.

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