Article Text

other Versions

Download PDFPDF
Ethnic mortality differentials in Lithuania: contradictory evidence from census-linked and unlinked mortality estimates
  1. Domantas Jasilionis1,
  2. Vlada Stankuniene2,
  3. Dalia Ambrozaitiene3,
  4. Dmitri A Jdanov1,
  5. Vladimir M Shkolnikov1
  1. 1Laboratory of Demographic Data, Max Planck Institute for Demographic Research, Rostock, Germany
  2. 2Institute for Demographic Research, Lithuanian Social Research Centre, Vilnius, Lithuania
  3. 3Statistics Lithuania, Vilnius, Lithuania
  1. Correspondence to Domantas Jasilionis, Max Planck Institute for Demographic Research, Konrad Zuse Str. 1, 18057 Rostock, Germany; jasilionis{at}


Background This study examines discrepancies between census and death registry information in the reporting of the ethnicity of the deceased in Lithuania and shows how these reporting differences influence estimates of mortality inequality by ethnicity.

Methods This study uses a census-linked dataset provided by Statistics Lithuania. The data include all deaths and population exposures between 1 July 2001 and 31 December 2004. The information on the ethnicity of the deceased was available from both the census and the death records. The Poisson regression was applied (1) to measure the effects of socio-demographic variables on the misreporting of ethnicity on death records and (2) to estimate mortality rate ratios by ethnicity based on census-linked and unlinked data.

Results The death-record-based information on ethnicity under-reports the deaths of people of Russian, Polish and other ethnicities and over-reports the deaths of people of Lithuanian ethnicity. This leads both to the underestimation of mortality in the three ethnic minority groups and to biased mortality rate ratios. The misreporting is higher in death records for women, persons younger than 80 years, divorced persons, urban residents and those dying from ill-defined causes.

Conclusion Studies based on unlinked data may provide biased estimates of ethnic mortality differences.

  • Mortality
  • ethnic
  • inequality
  • Eastern Europe

Statistics from

Request Permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.


  • Funding Vlada Stankuniene and Dalia Ambrozaitiene are supported by a grant from the Research Council of Lithuania (SIN-14/2010).

  • Competing interests None.

  • Provenance and peer review Not commissioned; externally peer reviewed.