Cross-Country Comparisons

  • Heather Brown
Chapter
First Online:

Abstract

In this chapter, we discuss when and why you may want to perform cross-country analysis. We outline the estimation technique of propensity score matching, how and when to use it, and some extensions to this estimation model. We provide an example looking at labour market outcomes in the UK for those diagnosed with a non-communicable disease. We also outline additional methods for cross-country analysis, such as the fixed effects approach.

Keywords

Cross-country analysis Propensity score matching Propensity score matching with DiD 
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References and Further Reading

  1. Blundell, R., & Dias, M. C. (2009). Alternative approaches to evaluation in empirical microeconomics. Journal of Human Resources, 44(3), 565–640.CrossRefGoogle Scholar
  2. Bor, J., Basu, S., Coutts, A., McKee, M., & Stuckler, D. (2013). Alcohol use during the great recession of 2008–2009. Alcohol and Alcoholism, 48(3), 343–348.CrossRefGoogle Scholar
  3. Cerulli, G. (2013, September). TREATREW: A user–written Stata routine for estimating average treatment effects by reweighting on propensity score. In United Kingdom Stata Users’ Group Meetings 2013 (No. 02). Stata Users Group.Google Scholar
  4. García-Gómez, P. (2011). Institutions, health shocks and labour market outcomes across Europe. Journal of Health Economics, 30(1), 200–213.CrossRefGoogle Scholar
  5. García-Gómez, P. G., & López-Nicolás, A. (2006). Health shocks, employment and income in the Spanish labour market. Health Economics, 15(9), 997–1009.CrossRefGoogle Scholar
  6. Gili, M., Roca, M., Basu, S., McKee, M., & Stuckler, D. (2012). The mental health risks of economic crisis in Spain: Evidence from primary care centres, 2006 and 2010. The European Journal of Public Health, 23(1), 103–108.CrossRefGoogle Scholar
  7. O’Neill, S., Kreif, N., Grieve, R., Sutton, M., & Sekhon, J. S. (2016). Estimating causal effects: Considering three alternatives to difference-in-differences estimation. Health Services and Outcomes Research Methodology, 16(1–2), 1–21.CrossRefGoogle Scholar
  8. Reeves, A., Stuckler, D., McKee, M., Gunnell, D., Chang, S. S., & Basu, S. (2012). Increase in state suicide rates in the USA during economic recession. The Lancet, 380(9856), 1813–1814.CrossRefGoogle Scholar
  9. Rubin, D. B. (1980). Bias reduction using Mahalanobis-Metric matching. Biometrics, 36, 293–298.CrossRefGoogle Scholar
  10. University of Essex. Institute for Social and Economic Research, NatCen Social Research and Kantar Public, [producers]: Understanding Society: Waves 1–6, 2009–2015 [computer file], 8th ed. Colchester, Essex: UK Data Service [distributor], November 2016. SN: 6614.Google Scholar

Copyright information

© The Author(s) 2018

Authors and Affiliations

  • Heather Brown
    • 1
  1. 1.Newcastle UniversityNewcastle upon TyneUK

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