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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

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  • Timothy Tyler Brown
  • Vishnu Murthy

Abstract

This study estimates the effect of county‐level public health expenditures in reducing county‐level public assistance medical care benefits (public assistance medical care benefits is a measure compiled by the US Bureau of Economic Analysis and includes Medicaid and other medical vendor payments). The effect is modeled using a static panel model and estimated using two‐stage limited information maximum likelihood and a valid instrumental variable. For every $1 invested in county‐level public health expenditures, public assistance medical care benefits are reduced by an average of $3.12 (95% confidence interval: −$5.62, −$0.94). Because Medicaid in California is financed via an approximate 50% match of federal dollars with state dollars, savings to the state are approximately one‐half of this, or $1.56 for every $1 invested in county‐level public health expenditures.

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  • 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.
  • Handle: RePEc:wly:hlthec:v:29:y:2020:i:10:p:1220-1230
    DOI: 10.1002/hec.4130
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    1. Arthur Lewbel, 2012. "Using Heteroscedasticity to Identify and Estimate Mismeasured and Endogenous Regressor Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(1), pages 67-80.
    2. Choudhury, Sanchari, 2015. "Governmental decentralization and corruption revisited: Accounting for potential endogeneity," Economics Letters, Elsevier, vol. 136(C), pages 218-222.
    3. Christopher F Baum & Arthur Lewbel, 2019. "Advice on using heteroskedasticity-based identification," Stata Journal, StataCorp LP, vol. 19(4), pages 757-767, December.
    4. M. Shahe Emran & Forhad Shilpi, 2017. "Land Market Restrictions, Women's Labour Force Participation and Wages in a Rural Economy," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(5), pages 747-768, October.
    5. Caliendo, Marco & Lee, Wang-Sheng & Mahlstedt, Robert, 2017. "The gender wage gap and the role of reservation wages: New evidence for unemployed workers," Journal of Economic Behavior & Organization, Elsevier, vol. 136(C), pages 161-173.
    6. Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
    7. José Luis Montiel Olea & Carolin Pflueger, 2013. "A Robust Test for Weak Instruments," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(3), pages 358-369, July.
    8. Carolin E. Pflueger & Su Wang, 2015. "A robust test for weak instruments in Stata," Stata Journal, StataCorp LP, vol. 15(1), pages 216-225, March.
    9. Choi, In, 2001. "Unit root tests for panel data," Journal of International Money and Finance, Elsevier, vol. 20(2), pages 249-272, April.
    10. Elisabetta Magnani & Rong Zhu, 2015. "Social mobility and inequality in urban China: understanding the role of intergenerational transmission of education," Applied Economics, Taylor & Francis Journals, vol. 47(43), pages 4590-4606, September.
    11. Brown, T.T., 2016. "Returns on investment in California county departments of public health," American Journal of Public Health, American Public Health Association, vol. 106(8), pages 1477-1482.
    12. Breusch, T S & Pagan, A R, 1979. "A Simple Test for Heteroscedasticity and Random Coefficient Variation," Econometrica, Econometric Society, vol. 47(5), pages 1287-1294, September.
    13. Brown, Timothy Tyler, 2014. "How effective are public health departments at preventing mortality?," Economics & Human Biology, Elsevier, vol. 13(C), pages 34-45.
    14. Adrian R Pagan & Anthony D Hall, 1983. "Diagnostic tests as residual analysis," Published Paper Series 1983-1, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    15. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    16. 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.
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    1. Chris Sampson’s journal round-up for 12th October 2020
      by Chris Sampson in The Academic Health Economists' Blog on 2020-10-12 11:00:03

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