Sample attrition in the RLMS, 2001-10: Lessons for longitudinal analysis and an application in health

Christopher Gerry, Georgios Papadopoulos

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The data of the Russian Longitudinal Monitoring Survey (RLMS) – Higher School of Economics represents one of the few nationally representative sources of household and individual data for Russia. These data have been collected since 1992 and in recent years, thanks to more secure financial and logistical support, have become a resource increasingly drawn upon by scholars and students for national and cross-national studies. In this paper, we examine the extent of non-random attrition in the RLMS and discuss the circumstances under which this might give rise to biases in econometric analysis. We illustrate this with an example drawn from the health sphere.
Original languageEnglish
Pages (from-to)425-468
Number of pages44
JournalEconomics of Transition
Issue number2
Early online date8 Apr 2015
Publication statusPublished - Apr 2015


  • RLMS
  • attrition bias
  • longitudinal data
  • health

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