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Health and wealth: Short panel Granger causality tests for developing countries

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  • Weichun Chen
  • Judith A. Clarke
  • Nilanjana Roy

Abstract

The world has experienced impressive improvements in wealth and health, with, for instance, the world's real GDP per capita having increased by 180% from 1970 to 2007 accompanied by a 50% decline in infant mortality rate. Healthier and wealthier. Pl Are health gains arising from wealth growth? Or, has a healthier population enabled substantial growth in wealth? We contribute to understanding the dynamic links between wealth and health by examining for causal, rather than associative, links between health (as measured by infant mortality rate) and wealth (as measured by GDP per capita) for a panel of 58 developing countries using quinquennial data covering the period 1960-2005. Estimating as a panel allows us to account for unobserved heterogeneity, as well as permitting heterogeneous causal effects. We test for panel and country-specific noncausality, and we explore robustness of outcomes to level of economic development (as measured by national income), whether we account for bias in least squares estimators, and to our heterogeneity assumption on the causal coefficients. Overall, our panel tests detect bidirectional links between wealth and health, compatible with other research. However, our country-specific work suggests that the panel results arise from the dominance of a few countries, as there is evidence of noncausality between health and wealth for a majority of countries. These findings contrast with earlier research, and likely arise from different metrics being used to measure the health of a nation. Our work highlights the usefulness of panel causality tests accompanied by unit specific analysis and the importance of examining different metrics for health.

Suggested Citation

  • Weichun Chen & Judith A. Clarke & Nilanjana Roy, 2014. "Health and wealth: Short panel Granger causality tests for developing countries," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 23(6), pages 755-784, September.
  • Handle: RePEc:taf:jitecd:v:23:y:2014:i:6:p:755-784
    DOI: 10.1080/09638199.2013.783093
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    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Granger Causality Testing With Panel Data
      by Dave Giles in Econometrics Beat: Dave Giles' Blog on 2012-09-13 22:53:00

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    2. Nadide Sevil Halıcı-Tülüce & İbrahim Doğan & Cüneyt Dumrul, 2016. "Is income relevant for health expenditure and economic growth nexus?," International Journal of Health Economics and Management, Springer, vol. 16(1), pages 23-49, March.
    3. Wei-Bin Zhang, 2018. "Economic Growth and Health Dynamics with Government Subsidies for Healthcare," Acta Oeconomica Pragensia, Prague University of Economics and Business, vol. 2018(3), pages 3-23.
    4. Adisa Arapoviæ Craig A. Depken, II Mirsad Hadžikadiæ, 2017. "Corruption in Transition Economies: Cause or Effect?," Zagreb International Review of Economics and Business, Faculty of Economics and Business, University of Zagreb, vol. 20(1), pages 113-123, May.
    5. Weichun Chen & Judith A. Clarke & Nilanjana Roy, 2014. "Health and wealth: Short panel Granger causality tests for developing countries," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 23(6), pages 755-784, September.
    6. Aysıt Tansel & Deniz Karaoğlan, 2019. "The Effect of Education on Health Behaviors and Obesity in Turkey: Instrumental Variable Estimates from a Developing Country," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 31(5), pages 1416-1448, December.
    7. João Sousa Andrade & Marta Simões & Adelaide Duarte, 2013. "Despesa Pública em Educação e Saúde e Crescimento Económico: Um Contributo para o Debate sobre as Funções Sociais do Estado," GEMF Working Papers 2013-18, GEMF, Faculty of Economics, University of Coimbra.

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    More about this item

    JEL classification:

    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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