Drivers of Medical Travel at the Hospital Level

  • Klaus Schmerler
Part of the Developments in Health Economics and Public Policy book series (HEPP, volume 13)


Chapter  5 employs a gravity specification at the hospital level and extends the analysis of the previous chapter and supports its results. The author makes use of a large panel data set that is augmented by multiple controls at various levels of spatial and organizational aggregation. The focus of this investigation lies on networks and on exogenous quality measures that capture and signal treatment quality.


  1. Court of Justice of the European Union. (2014). Elena Petru v Casa Județeană de Asigurări de Sănătate Sibiu, Casa Națională de Asigurări de Sănătate. Accessed September 25, 2018, from
  2. Fally, T. (2015). Structural gravity and fixed effects. Journal of International Economics, 97, 76–85. Scholar
  3. Fernández-Val, I., & Weidner, M. (2016). Individual and time effects in nonlinear panel models with large N, T. Journal of Econometrics, 192, 291–312. Scholar
  4. Lutze, I., Karmann, A., & Schoffer, O. (2010). Empirische Bestandsaufnahme zum Patientenimport im stationären Sektor. Statistik in Sachsen, 1, 30–36.Google Scholar
  5. Pollard, K. (2013). Medical tourism climate survey 2013. London: Intuition Communication Ltd.Google Scholar
  6. Santos Silva, J. M. C., & Tenreyro, S. (2006). The log of gravity. The Review of Economics and Statistics, 88, 641–658.CrossRefGoogle Scholar
  7. Windmeijer, F. A. G., & Santos Silva, J. M. C. (1997). Endogeneity in count data models: an application to demand for health care. Journal of Applied Econometrics, 12, 281–294.<281:AID-JAE436>3.0.CO;2-1.CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Klaus Schmerler
    • 1
  1. 1.Martin Luther University Halle-WittenbergHalle (Saale)Germany

Personalised recommendations