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How effective are public health departments at preventing mortality?

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  • Brown, Timothy Tyler

Abstract

This study estimates the causal impact of variation in the expenditures of California county departments of public health on all-cause mortality rates and the associated value of lives saved. Since the activities of county departments of public health are likely to affect mortality rates with a lag, Koyck distributed lag models are estimated using the Lewbel instrumental variables estimator. The findings show that an additional $10 per capita of public health expenditures reduces all-cause mortality by 9.1 deaths per 100,000. At current funding levels, the long-run annual number of lives saved by the presence of county departments of public health in California is estimated to be approximately 27,000 (26,937 lives, 95% confidence interval: [11,963, 41,911]). The annual value of these lives is estimated to be worth $212.8 billion using inflation-adjusted standard U.S. government estimates of the value of a statistical life ($7.9 million).

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  • Brown, Timothy Tyler, 2014. "How effective are public health departments at preventing mortality?," Economics & Human Biology, Elsevier, vol. 13(C), pages 34-45.
    • Handle: RePEc:eee:ehbiol:v:13:y:2014:i:c:p:34-45
    DOI: 10.1016/j.ehb.2013.10.001
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    as
    1. James Thornton, 2002. "Estimating a health production function for the US: some new evidence," Applied Economics, Taylor & Francis Journals, vol. 34(1), pages 59-62.
    2. Huang, Ho-Chuan (River) & Lin, Yi-Chen & Yeh, Chih-Chuan, 2009. "Joint determinations of inequality and growth," Economics Letters, Elsevier, vol. 103(3), pages 163-166, June.
    3. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    4. Maurice J. G. Bun & Frank Windmeijer, 2010. "The weak instrument problem of the system GMM estimator in dynamic panel data models," Econometrics Journal, Royal Economic Society, vol. 13(1), pages 95-126, February.
    5. Bun, Maurice J. G. & Kiviet, Jan F., 2003. "On the diminishing returns of higher-order terms in asymptotic expansions of bias," Economics Letters, Elsevier, vol. 79(2), pages 145-152, May.
    6. Grossman, Michael, 2006. "Education and Nonmarket Outcomes," Handbook of the Economics of Education, in: Erik Hanushek & F. Welch (ed.), Handbook of the Economics of Education, edition 1, volume 1, chapter 10, pages 577-633, Elsevier.
    7. Denny, Kevin & Oppedisano, Veruska, 2013. "The surprising effect of larger class sizes: Evidence using two identification strategies," Labour Economics, Elsevier, vol. 23(C), pages 57-65.
    8. Grembowski, David & Bekemeier, Betty & Conrad, Douglas & Kreuter, William, 2010. "Are local health department expenditures related to racial disparities in mortality?," Social Science & Medicine, Elsevier, vol. 71(12), pages 2057-2065, December.
    9. Tai-Hsin Huang & Zixiong Xie, 2013. "Population and economic growth: a simultaneous equation perspective," Applied Economics, Taylor & Francis Journals, vol. 45(27), pages 3820-3826, September.
    10. Kiviet, Jan F., 1995. "On bias, inconsistency, and efficiency of various estimators in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 68(1), pages 53-78, July.
    11. Matthew Lang, 2013. "The Impact Of Mental Health Insurance Laws On State Suicide Rates," Health Economics, John Wiley & Sons, Ltd., vol. 22(1), pages 73-88, January.
    12. Choi, In, 2001. "Unit root tests for panel data," Journal of International Money and Finance, Elsevier, vol. 20(2), pages 249-272, April.
    13. Douglas L. Miller & Marianne E. Page & Ann Huff Stevens & Mateusz Filipski, 2009. "Why Are Recessions Good for Your Health?," American Economic Review, American Economic Association, vol. 99(2), pages 122-127, May.
    14. Lichtenberg, Frank R., 2004. "Sources of U.S. longevity increase, 1960-2001," The Quarterly Review of Economics and Finance, Elsevier, vol. 44(3), pages 369-389, July.
    15. N/A, 2009. "On the Recession," Local Economy, London South Bank University, vol. 24(3), pages 253-253, May.
    16. James Thornton, 2011. "Does more medical care improve population health? New evidence for an old controversy," Applied Economics, Taylor & Francis Journals, vol. 43(24), pages 3325-3336.
    17. David Stifel & Harold Alderman, 2006. "The "Glass of Milk" Subsidy Program and Malnutrition in Peru," The World Bank Economic Review, World Bank, vol. 20(3), pages 421-448.
    18. Christiane Schroeter & Sven Anders & Andrea Carlson, 2013. "The Economics of Health and Vitamin Consumption," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 35(1), pages 125-149.
    19. Joseph J. Sabia, 2007. "Early Adolescent Sex and Diminished School Attachment: Selection or Spillovers?," Southern Economic Journal, John Wiley & Sons, vol. 74(1), pages 239-268, July.
    20. Thomas J. Kniesner & W. Kip Viscusi & Christopher Woock & James P. Ziliak, 2012. "The Value of a Statistical Life: Evidence from Panel Data," The Review of Economics and Statistics, MIT Press, vol. 94(1), pages 74-87, February.
    21. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    22. M. Shahe Emran & Forhad Shilpi, 2012. "The extent of the market and stages of agricultural specialization," Canadian Journal of Economics, Canadian Economics Association, vol. 45(3), pages 1125-1153, August.
    23. Anderson, T. W. & Hsiao, Cheng, 1982. "Formulation and estimation of dynamic models using panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 47-82, January.
    24. Singh, G.K. & Siahpush, M., 2001. "All-cause and cause-specific mortality of immigrants and native born in the United States," American Journal of Public Health, American Public Health Association, vol. 91(3), pages 392-399.
    25. 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.
    26. W. Viscusi, 2008. "How to value a life," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 32(4), pages 311-323, October.
    27. Andreas Drichoutis & Rodolfo Nayga & Panagiotis Lazaridis, 2012. "Food away from home expenditures and obesity among older Europeans: are there gender differences?," Empirical Economics, Springer, vol. 42(3), pages 1051-1078, June.
    28. Bruno, Giovanni S.F., 2005. "Approximating the bias of the LSDV estimator for dynamic unbalanced panel data models," Economics Letters, Elsevier, vol. 87(3), pages 361-366, June.
    29. Andrews,Donald W. K. & Stock,James H. (ed.), 2005. "Identification and Inference for Econometric Models," Cambridge Books, Cambridge University Press, number 9780521844413.
    30. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    31. Mitchell A. Petersen, 2009. "Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches," The Review of Financial Studies, Society for Financial Studies, vol. 22(1), pages 435-480, January.
    32. Grossman, Michael, 2000. "The human capital model," Handbook of Health Economics, in: A. J. Culyer & J. P. Newhouse (ed.), Handbook of Health Economics, edition 1, volume 1, chapter 7, pages 347-408, Elsevier.
    33. Joseph J. Sabia, 2007. "Reading, Writing, And Sex: The Effect Of Losing Virginity On Academic Performance," Economic Inquiry, Western Economic Association International, vol. 45(4), pages 647-670, October.
    34. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    35. Joseph J. Sabia, 2007. "The Effect of Body Weight on Adolescent Academic Performance," Southern Economic Journal, John Wiley & Sons, vol. 73(4), pages 871-900, April.
    36. Schroeter, Christiane & Anders, Sven M. & Carlson, Andrea & Rickard, Bradley J., 2010. "The Economics of Health Behavior and Vitamin Consumption," 115th Joint EAAE/AAEA Seminar, September 15-17, 2010, Freising-Weihenstephan, Germany 116391, European Association of Agricultural Economists.
    37. Erwin, P.C. & Greene, S.B. & Mays, G.P. & Ricketts, T.C. & Davis, M.V., 2011. "The association of changes in local health department resources with changes in state-level health outcomes," American Journal of Public Health, American Public Health Association, vol. 101(4), pages 609-615.
    38. Samuel Bazzi & Michael A. Clemens, 2013. "Blunt Instruments: Avoiding Common Pitfalls in Identifying the Causes of Economic Growth," American Economic Journal: Macroeconomics, American Economic Association, vol. 5(2), pages 152-186, April.
    39. Steven A. Block, 2007. "Maternal nutrition knowledge versus schooling as determinants of child micronutrient status," Oxford Economic Papers, Oxford University Press, vol. 59(2), pages 330-353, April.
    40. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    41. Alberto Palloni & Elizabeth Arias, 2004. "Paradox lost: Explaining the hispanic adult mortality advantage," Demography, Springer;Population Association of America (PAA), vol. 41(3), pages 385-415, August.
    42. 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.
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    2. Piekalkiewicz, Marcin, 2016. "Money, Social Capital and Materialism. Evidence from Happiness Data," EconStor Preprints 130185, ZBW - Leibniz Information Centre for Economics.
    3. Seuring, Till & Goryakin, Yevgeniy & Suhrcke, Marc, 2015. "The impact of diabetes on employment in Mexico," Economics & Human Biology, Elsevier, vol. 18(C), pages 85-100.
    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. Fortin, Bernard & Ragued, Safa, 2017. "Does temporary interruption in postsecondary education induce a wage penalty? Evidence from Canada," Economics of Education Review, Elsevier, vol. 58(C), pages 108-122.
    6. 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.
    7. Steven F. Koch & Evelyn Thsehla, 2022. "The impact of diabetes on labour market outcomes," Development Southern Africa, Taylor & Francis Journals, vol. 39(3), pages 424-456, May.
    8. Seuring, Till & Serneels, Pieter & Suhrcke, Marc, 2019. "The impact of diabetes on labour market outcomes in Mexico: A panel data and biomarker analysis," Social Science & Medicine, Elsevier, vol. 233(C), pages 252-261.
    9. 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.
    10. Waziri, Salisu Ibrahim & Mohamed Nor, Norashidah & Law, Siong Hook & Hassan, Azman, 2018. "Access to Safe Drinking Water, Good Sanitation, Occurrence of Under-Five Mortality and Standard of Living in Developing Countries: System GMM Approach," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 52(2), pages 279-289.
    11. Carrieri, V.; Jones, A.M.;, 2017. "Intergenerational transmission of nicotine within families: have e-cigarettes had an impact?," Health, Econometrics and Data Group (HEDG) Working Papers 17/03, HEDG, c/o Department of Economics, University of York.
    12. Stephen Martin & James Lomas & Karl Claxton, 2019. "Is an ounce of prevention worth a pound of cure? Estimates of the impact of English public health grant on mortality and morbidity," Working Papers 166cherp, Centre for Health Economics, University of York.

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    More about this item

    Keywords

    Public health expenditures; All-cause mortality; Lewbel instrumental variables; Dynamic panel models; California;
    All these keywords.

    JEL classification:

    • H75 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Government: Health, Education, and Welfare
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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