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Quality & Quantity

, Volume 53, Issue 4, pp 1895–1911 | Cite as

Health progress and economic growth in the United States: the mixed frequency VAR analyses

  • Yi-Hui Liu
  • Wei-Shiun Chang
  • Wen-Yi ChenEmail author
Article
  • 59 Downloads

Abstract

Previous time series analyses on the effect of business cycles on population health suffered from potential aggregation and omitted variable biases stemming from the aggregation of the high frequency data commonly used to measure business cycles (such as quarterly GDP per capita or monthly unemployment rate) into low frequency data (such as annual GDP per capita or unemployment rate). In order to deal with this temporal aggregation issue, this study applies the Mixed Frequency Vector Auto-regressive (MF-VAR) model to investigate the causal relationship between health progress and economic growth during the period of 1948:Q1–2016:Q4 in the US for the first time. Our results based on the forecast error variance decomposition suggest that the MF-VAR model achieves higher explanatory power than the conventional VAR model with single frequency data. Despite a bi-directional causation between health progress and economic growth being identified using the mixed frequency Granger causality tests, the impulse-response analyses under the MF-VAR model found a changing correlation between health progress and economic growth across the four quarters within each 1-year time period. These findings effectively reconcile the controversial results from previous time series analyses on the effect of business cycles on population health.

Keywords

Mixed frequency VAR Mixed data sampling MIDAS Health progress Economic growth Business cycle 

JEL Classification

C4 E3 I1 J1 N3 O1 

Notes

Acknowledgements

We would like to thank Professor Kaiji Motegi (from Kobe University, Japan) sharing his Matlab codes for us to estimate the LF-VAR and MF-VAR models. The final proof-reading of the study by Lisa Brutcher (at Washington State University, USA) is deeply acknowledged. All errors are mine.

Compliance with ethical standards

Conflict of interest

We declare that we have no competing interests.

Supplementary material

11135_2019_847_MOESM1_ESM.xlsx (14 kb)
Supplementary material 1 (XLSX 14 kb)

References

  1. Barro, R.J.: Health and economic growth. Ann. Econ. Finance Soc. AEF 14(2), 329–366 (2013)Google Scholar
  2. Baumbach, A., Gulis, G.: Impact of financial crisis on selected health outcomes in European. Eur. J. Pub. Health 24(3), 399–403 (2014)CrossRefGoogle Scholar
  3. Brenner, M.H.: Mortality and the national economy. Lancet 314, 568–573 (1979)CrossRefGoogle Scholar
  4. Brenner, M.H.: Commentary: economic growth is the basis of mortality rate decline in the 20th century-experience of the United States 1901–2000. Int. J. Epidemiol. 34, 1214–1221 (2005)CrossRefGoogle Scholar
  5. Bruckner, T.A., Noymer, A., Catalano, R.: Life expectancy during the Great Depression in eleven European countries. Popul. Dev. Rev. 39(1), 57–74 (2013)CrossRefGoogle Scholar
  6. Catalano, R., Bruckner, T.: Clear and simple: no association between the Great recession and period life expectancy at birth in the USA. Int. J. Epidemiol. 45(5), 1681–1686 (2016)CrossRefGoogle Scholar
  7. Chantrill, C.: US Government Spending: History, Facts and Charts of Spending, Taxes and Debt, Federal, State and Local, 2017 edition. usgovernmentspending.com, Seattle (2017)Google Scholar
  8. Chen, W.Y.: Health progress and economic growth in the United States: the continuous wavelet analysis. Empir. Econ. 50(3), 831–855 (2016)CrossRefGoogle Scholar
  9. Ferreira, F., Schady, N.: Aggregate economic shocks, child schooling, and child health. World Bank Res. Obs. 24, 147–181 (2009)CrossRefGoogle Scholar
  10. Ghysels, E.: Macroeconomics and the reality of mixed frequency data. J. Econom. 193, 294–314 (2016)CrossRefGoogle Scholar
  11. Ghysels, E., Hill, J.B., Motegi, K.: Testing for Granger causality with mixed frequency data. J. Econom. 192, 207–230 (2016)CrossRefGoogle Scholar
  12. Gonçalves, S., Kilian, L.: Bootstrapping autoregressions with conditional hetero-skedasticity of unknown form. J. Econom. 123(1), 89–120 (2004)CrossRefGoogle Scholar
  13. Gonzalez, F., Quast, T.: Mortality and business cycles by level of development: evidence from Mexico. Soc. Sci. Med. 71, 2066–2073 (2010)CrossRefGoogle Scholar
  14. Grossman, M.: On the concept of health capital and the demand for health. J. Polit. Econ. 80(2), 223–255 (1972)CrossRefGoogle Scholar
  15. Janko, Z., Emery, J.C.H., Guenette, P.: The short-run and long-run relationships between mortality and the business cycle in Canada. Econ. Res. Int. 2013, Article ID 409738 (2013).  https://doi.org/10.1155/2013/409738
  16. Kasl, S.V.: Mortality and the business cycle: some questions about research strategies when utilizing macro-social and ecological data. Am. J. Public Health 69, 784–788 (1979)CrossRefGoogle Scholar
  17. Laporte, A.: Do economic cycles have a permanent effect on population health? Revising the Brenner hypothesis. Health Econ. 13(8), 767–779 (2004)CrossRefGoogle Scholar
  18. Morgado, S.M.A.: Does health promote economic growth? Portuguese case study: from dictatorship to full democracy. Eur. J. Health Econ. 15, 591–598 (2014)CrossRefGoogle Scholar
  19. Motegia, K., Sadahirob, A.: Sluggish private investment in Japan’s lost decade: mixed frequency vector autoregression approach. N. Am. J. Econ. Finance 43, 118–128 (2018)CrossRefGoogle Scholar
  20. Regidor, E., Barrio, G., Bravo, M.J., de la Fuente, L.: Has health in Spain been declining since the economic crisis? J. Epidemiol. Community Health 68(3), 280–282 (2014)CrossRefGoogle Scholar
  21. Sevensson, M., Krüger, N.A.: Mortality and economic fluctuations: evidence from wavelet analysis for Sweden 1800-2000. J. Popul. Econ. 25, 1215–1235 (2012)CrossRefGoogle Scholar
  22. Silvestrini, A., Veredas, D.: Temporal aggregation of univariate and multivariate time series models: a survey. J. Econ. Surv. 22, 458–497 (2008)CrossRefGoogle Scholar
  23. Swift, R.: The relationship between health and GDP in OECD countries in the very long run. Health Econ. 20(3), 306–322 (2011)CrossRefGoogle Scholar
  24. Tapia Granado, J.A.: Economic growth and health progress in England and Wales: 160 years of a changing relation. Soc. Sci. Med. 74, 688–695 (2012)CrossRefGoogle Scholar
  25. Tapia Granados, J.A.: Macroeconomic fluctuations and mortality in postwar Japan. Demography 45(2), 323–343 (2008)CrossRefGoogle Scholar
  26. Tapia Granados, J.A., Diez Roux, A.V.: Life and death during the Great Depression. Proc. Natl. Acad. Sci. 106, 17290–17295 (2009)CrossRefGoogle Scholar
  27. Tapia Granados, J.A., Ionides, E.L.: The reversal of the relation between economic growth and health progress: Sweden in the 19th and 20th centuries. J. Health Econ. 27(3), 544–563 (2008)CrossRefGoogle Scholar
  28. Tapia Granados, J.A., Rodriguez, J.M.: Health, economic crisis, and austerity: a comparison of Greece, Finland and Iceland. Health Policy 119, 941–953 (2015)CrossRefGoogle Scholar
  29. Weil, D.N.: Economic Growth. Pearson, Boston (2005)Google Scholar

Copyright information

© Springer Nature B.V. 2019

Authors and Affiliations

  1. 1.Department of Senior Citizen Service ManagementNational Taichung University of Science and TechnologyTaichungTaiwan
  2. 2.Institute of International ManagementNational Cheng Kung UniversityTainan CityTaiwan

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