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Applied Spatial Analysis and Policy

, Volume 12, Issue 3, pp 719–728 | Cite as

A Note on Unemployment and Health Convergence in Space: Evidence from US States

  • Stilianos Alexiadis
  • Konstantinos EleftheriouEmail author
  • Peter Nijkamp
Article
  • 60 Downloads

Abstract

Spatial convergence in terms of ‘health’ has been examined in only a few empirical studies. This paper addresses the relation between unemployment and obesity in US States within a ‘health’ convergence context. After controlling for spatial effects, we show that unemployment is not only positively related to obesity, but also accelerates the speed of adjustment towards to a State’s own steady-state level of ‘health’ conditions. Our findings clarify that straightforward possibilities for geographical convergence in health conditions are limited; an observation that provides policy-makers with valuable insights into the process of regional allocation of public funds aimed at improving health conditions.

Keywords

Convergence Obesity Spatial effects Unemployment US 

JEL Classification

I10 C23 

Notes

Acknowledgements

We are grateful to an anonymous referee for helpful suggestions and comments. The findings, interpretations and conclusions are the sole responsibility of the authors and do not necessarily represent the official position, policies or views of the Ministry of Rural Development and Food and/or the Greek Government.

Compliance with Ethical Standards

Conflict of Interest

The authors declare that they have no conflict of interest.

References

  1. Alkon, A., Block, D., Moore, K., Gillis, C., DiNuccio, N., & Chavez, N. (2013). Foodways of the urban poor. Geoforum, 48, 126–135.Google Scholar
  2. Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. The Review of Economic Studies, 58(2), 277–297.Google Scholar
  3. Baltagi, B. (2005). Econometric analysis of panel data (3rd ed.). England: Wiley.Google Scholar
  4. Barro, R., & Sala-i-Martin, X. (1992). Convergence. Journal of Political Economy, 100(2), 223–251.Google Scholar
  5. Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Econometrica, 87(1), 115–143.Google Scholar
  6. Bond, S., Hoeffler, A. and Temple, J. (2001). ‘GMM estimation of empirical growth models’, CEPR Discussion paper No. 3048, Centre for Economic Policy Research, London.Google Scholar
  7. Caliendo, M., & Lee, W. (2013). Fat chance! Obesity and the transition from unemployment to employment. Economics and Human Biology, 11(2), 121–133.Google Scholar
  8. Centers for Disease Control and Prevention (CDC). (2015) Behavioral Risk Factor Surveillance System Survey Data. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, 1995–2010.Google Scholar
  9. Charles, K. K., & DeCicca, P. (2008). Local labor market fluctuations and health: Is there a connection and for whom? Journal of Health Economics, 27(6), 1532–1550.Google Scholar
  10. Chen, S., Florax, R. J., Snyder, S., & Miller, C. C. (2010). Obesity and access to chain grocers. Economic Geography, 86(4), 431–452.Google Scholar
  11. Chou, S., Grossman, M., & Saffer, H. (2004). An economic analysis of adult obesity: Results from the behavioral risk factor surveillance system. Journal of Health Economics, 23(3), 565–587.Google Scholar
  12. Clark, R. (2011). World health inequality: Convergence, divergence, and development. Social Science & Medicine, 72, 617–624.Google Scholar
  13. Crabtree, S. (2014). ‘Obesity linked to long-term unemployment in U.S.’, Gallup; Retrieved from http://www.gallup.com/poll/171683/obesity-linked-long-term-unemployment.aspx
  14. Devaux, M., Sassi, F., Church, J., Cecchini, M., & Borgonovi, F. (2011). Exploring the relationship between education and obesity. OECD Journal of Economic Studies, 5(1), 1–40.Google Scholar
  15. Elhorst, J. P. (2014). Spatial econometrics: From cross-sectional data to spatial panels. London: Springer.Google Scholar
  16. Fingleton, B., & López-Bazo, E. (2006). Empirical growth models with spatial effects. Papers in Regional Science, 85(2), 177–198.Google Scholar
  17. Goodchild, M. (1992). Geographical information science. International Journal of Geographical Information Systems, 6(1), 31–45.Google Scholar
  18. Gruber, J., & Frakes, M. (2006). Does falling smoking lead to rising obesity? Journal of Health Economics, 25(2), 183–197.Google Scholar
  19. Guettabi, M., & Munasib, A. (2014). “Space obesity”: The effect of remoteness on county obesity. Growth and Change, 45(4), 518–548.Google Scholar
  20. He, M., & Lin, K. (2013). Locally adjusted LM test for spatial dependence in fixed effects panel data models. Economics Letters, 121(1), 59–63.Google Scholar
  21. Hitiris, T., & Nixon, J. (2001). Convergence in health care expenditure in the EU countries. Applied Economics Letters, 8(4), 223–228.Google Scholar
  22. Islam, N. (1995). Growth empirics: A panel data approach. The Quarterly Journal of Economics, 110(4), 1127–1170.Google Scholar
  23. Islam, N. (2003). What have we learnt from the convergence debate? Journal of Economic Surveys, 17(3), 309–362.Google Scholar
  24. Jäntti, M., Pirttilä, J., & Selin, H. (2015). Estimating labour supply elasticities based on cross-country micro data: A bridge between micro and macro estimates? Journal of Public Economics, 127, 87–99.Google Scholar
  25. Keane, M., & Rogerson, R. (2012). Micro and macro labor supply elasticities: A reassessment of conventional wisdom. Journal of Economic Literature, 50(2), 464–476.Google Scholar
  26. Latif, E. (2014). The impact of macroeconomic conditions on obesity in Canada. Health Economics, 23(6), 751–759.Google Scholar
  27. Li, X., & Wang, R. (2016). Are US obesity rates converging? Applied Economics Letters, 23(8), 539–543.Google Scholar
  28. Lindeboom, M., Lundborg, P., & van der Klaauw, B. (2010). Assessing the impact of obesity on labor market outcomes. Economics and Human Biology, 8(3), 309–319.Google Scholar
  29. Montero-Granados, R., Jiménez, J., & Martín, J. (2007). Decentralisation and convergence in health among the provinces of Spain (1980–2001). Social Science & Medicine, 64(6), 1253–1264.Google Scholar
  30. Morris, S. (2007). The impact of obesity on employment. Labour Economics, 14(3), 413–433.Google Scholar
  31. NHLBI (National Heart, Lung and Blood Institute) (1998). Clinical guidelines on the identification, evaluation and treatment of overweight and obesity in adults. NIH publication number 98–4083, National Institutes of Health, New York.Google Scholar
  32. Nixon, J. (2000). ‘Convergence of health care spending and health outcomes in the European Union, 1960–1995’, Discussion paper, 183. Centre for health economics, University of York.Google Scholar
  33. OECD Statistical Database (2018) Various years.Google Scholar
  34. Roodman, D. (2009). How to do xtabond2: An introduction to difference and system GMM in Stata. Stata Journal, 9(1), 86–136.Google Scholar
  35. Ruhm, J. C. (2000). Are recessions good for your health? The Quarterly Journal of Economics, 115(2), 617–650.Google Scholar
  36. Ruhm, J. C. (2003). Good times make you sick. Journal of Health Economics, 22(4), 637–658.Google Scholar
  37. Ruhm, J. C. (2005). Healthy living in hard times. Journal of Health Economics, 24(2), 341–363.Google Scholar
  38. Smith, T., Stoddard, C., & Barnes, M. (2009). Why the poor get fat: Weight gain and economic insecurity. Forum for Health Economics & Policy, 12, 5.Google Scholar
  39. Wang, Z. (2009). The convergence of health care expenditure in the US states. Health Economics, 18, 55–70.Google Scholar
  40. Zhao, Z., & Kaestner, R. (2010). Effects of urban sprawl on obesity. Journal of Health Economics, 29(6), 779–787.Google Scholar

Copyright information

© Springer Nature B.V. 2018

Authors and Affiliations

  1. 1.Department of Strategic Planning of Rural Development, Evaluation & Documentation, Division of Documentation & Agricultural StatisticsHellenic Ministry of Rural Development and Food, Room 519AthensGreece
  2. 2.Department of EconomicsUniversity of PiraeusPiraeusGreece
  3. 3.JADS‘s-HertogenboschThe Netherlands
  4. 4.Adam Mickiewicz UniversityPoznanPoland

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