What is it about?
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 crossnational 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.
Featured Image
Why is it important?
An essential resource for anyone undertaking research with the RLMS data
Perspectives
There has been no comprehensive and detailed discussion of possible sample attrition in the RLMS-HSE data since the mid-1990s. This publication acts as a 'how to' for using the RLMS-HSE data in its panel format. Important both for Russian researchers using panel data for the first time and international researchers without detailed knowledge of the Russian context.
Professor Christopher J Gerry
University of Oxford
Read the Original
This page is a summary of: Sample attrition in the RLMS, 2001-10, Economics of Transition, April 2015, Wiley,
DOI: 10.1111/ecot.12063.
You can read the full text:
Contributors
The following have contributed to this page
