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Health and Wealth: Short Panel Granger Causality Tests for Developing Countries

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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. Are health gains arising from wealth growth? Or, has a healthier population enabled substantial growth in wealth? The answers to these questions have serious policy implications. We contribute to understanding dynamic links between wealth and health by analyzing the relationship 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 through 2005. We examine for causal rather than associative links between these fundamental macro measures of economic development. The panel enables us to examine for causal links using several methods that differ in how cross-country and temporal heterogeneity is imposed: cross-country homogeneity with temporal heterogeneity and cross-country heterogeneity with temporal homogeneity. Under the latter case, we consider sensitivity to assuming fixed versus random causal coefficients. In addition, we explore robustness of outcomes to level of economic development (as measured by national income) and inclusion of another covariate (education).

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  • Judith A. Clarke & Nilanjana Roy & Weichun Chen, 2012. "Health and Wealth: Short Panel Granger Causality Tests for Developing Countries," Econometrics Working Papers 1204, Department of Economics, University of Victoria.
  • Handle: RePEc:vic:vicewp:1204
    Note: ISSN 1485-6441
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    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. Sasa Obradovic & Nemanja Lojanica, 2018. "Is Health Care Necessity or Luxury Good? Panel Data Analysis on the Example of the SEEHN Countries," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 16(3 (Fall)), pages 195-214.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    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

    Keywords

    infant mortality; per capita GDP; Granger causality; fixed and random causal coefficients;
    All these keywords.

    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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