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Health progress and economic growth in the USA: the continuous wavelet analysis

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  • Wen-Yi Chen

    (National Taichung University of Science and Technology)

Abstract

This study employs the continuous wavelet analysis to investigate the dynamic relationship between health progress and economic growth over the period of 1934–2010 in the USA. Our findings reconcile the counter-cyclicality of longevity in the short run with the pro-cyclicality of longevity in the long run with respect to the business cycle. Additionally, four causal relationships between health progress and economic growth: the income view, health view, feedback view, and neutrality hypotheses are identified. Our results show that the income view, health view, and feedback hypotheses could only be validated for some specific time periods and conditions. None of these four hypotheses regarding causality of health progress and economic growth prevail over the entire period of 1934–2010 in the USA.

Suggested Citation

  • Wen-Yi Chen, 2016. "Health progress and economic growth in the USA: the continuous wavelet analysis," Empirical Economics, Springer, vol. 50(3), pages 831-855, May.
    • Handle: RePEc:spr:empeco:v:50:y:2016:i:3:d:10.1007_s00181-015-0955-6
    DOI: 10.1007/s00181-015-0955-6
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    Cited by:

    1. Hudgins, David & Crowley, Patrick M., 2017. "Modelling a small open economy using a wavelet-based control model," Research Discussion Papers 32/2017, Bank of Finland.
    2. Hudgins, David & Crowley, Patrick M., 2017. "Modelling a small open economy using a wavelet-based control model," Bank of Finland Research Discussion Papers 32/2017, Bank of Finland.
    3. repec:zbw:bofrdp:2017_032 is not listed on IDEAS
    4. Crowley, Patrick M. & Hudgins, David, 2019. "U.S. Macroeconomic Policy Evaluation in an Open Economy Context using Wavelet Decomposed Optimal Control Methods," Bank of Finland Research Discussion Papers 11/2019, Bank of Finland.
    5. Concepción González-Concepción & María Candelaria Gil-Fariña & Celina Pestano-Gabino, 2018. "Wavelet power spectrum and cross-coherency of Spanish economic variables," Empirical Economics, Springer, vol. 55(2), pages 855-882, September.
    6. Chen, Mei-Ping & Chen, Wen-Yi & Tseng, Tseng-Chan, 2017. "Co-movements of returns in the health care sectors from the US, UK, and Germany stock markets: Evidence from the continuous wavelet analyses," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 484-498.
    7. Patrick M. Crowley & David Hudgins, 2018. "What is the right balance between US monetary and fiscal policy? Explorations using simulated wavelet-based optimal tracking control," Empirical Economics, Springer, vol. 55(4), pages 1537-1568, December.
    8. Abid, Fathi & Kaffel, Bilel, 2018. "Time–frequency wavelet analysis of the interrelationship between the global macro assets and the fear indexes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1028-1045.
    9. Wen-Yi CHEN & Yu-Hui LIN, 2016. "Co-Movement of Healthcare Financing in OECD Countries: Evidence from Discrete Wavelet Analyses," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 40-56, September.
    10. Angeliki Skoura, 2019. "Detection of Lead-Lag Relationships Using Both Time Domain and Time-Frequency Domain; An Application to Wealth-To-Income Ratio," Economies, MDPI, vol. 7(2), pages 1-27, April.
    11. Patrick M. Crowley & David Hudgins, 2022. "Monetary policy objectives and economic outcomes: What can we learn from a wavelet‐based optimal control approach?," Manchester School, University of Manchester, vol. 90(2), pages 144-170, March.
    12. Kojić, Milena & Schlüter, Stephan & Mitić, Petar & Hanić, Aida, 2022. "Economy-environment nexus in developed European countries: Evidence from multifractal and wavelet analysis," Chaos, Solitons & Fractals, Elsevier, vol. 160(C).
    13. Usman Mehmood & Salman Tariq & Zia ul Haq & Ephraim Bonah Agyekum & Solomon Eghosa Uhunamure & Karabo Shale & Hasan Nawaz & Shafqat Ali & Ammar Hameed, 2022. "Financial Institutional and Market Deepening, and Environmental Quality Nexus: A Case Study in G-11 Economies Using CS-ARDL," IJERPH, MDPI, vol. 19(19), pages 1-19, September.
    14. repec:zbw:bofrdp:2019_011 is not listed on IDEAS
    15. Nammouri, Hela & Chlibi, Souhir & Labidi, Oussama, 2022. "Co-movements in sector price indexes during the COVID-19 crisis: Evidence from the US," Finance Research Letters, Elsevier, vol. 46(PA).
    16. Crowley, Patrick M. & Hudgins, David, 2019. "U.S. Macroeconomic Policy Evaluation in an Open Economy Context using Wavelet Decomposed Optimal Control Methods," Research Discussion Papers 11/2019, Bank of Finland.
    17. Wen-Yi Chen & Yai-Wun Liang & Yu-Hui Lin, 2018. "Does Health Spending Crowd out Defense in the United States? Evidence from Wavelet Multiresolution Analysis," Defence and Peace Economics, Taylor & Francis Journals, vol. 29(7), pages 780-793, November.

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    More about this item

    Keywords

    Brenner hypothesis; Health progress; Economic growth; Business cycle; Continuous wavelet analysis;
    All these keywords.

    JEL classification:

    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • I1 - Health, Education, and Welfare - - Health
    • J1 - Labor and Demographic Economics - - Demographic Economics
    • N3 - Economic History - - Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development

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