published in: Economic Development and Cultural Change, 2004, 53 (1), 131-56
This paper uses data from the Russian Longitudinal Monitoring Survey to describe and model the determinants of interhousehold transfers. Russian households have experienced large reductions in income during the post-Soviet transition period, with a particularly severe decline occurring in the fall of 1998. Sharply declining fertility, increasing mortality, and past demographic catastrophes has left a population which is both young (few elderly) and old (one of the oldest working-age populations in the world). Informal networks in Russia are likely to take on distinctive characteristics as the country’s economic institutions are underdeveloped and there is a very limited social safety net, while household structure closely resembles that found in much wealthier countries.
Although it is often assumed that the elderly in Russia are a highly vulnerable economic group, we actually find that transfers flow strongly from the elderly to their adult children, whom are typically in the early part of the life-course (i.e. in school, starting to work, or recently married). This is especially true for the elderly in rural areas. While households with higher longer-term resources receive on net more transfers, we also find strong evidence that transfers respond to economic needs (i.e. transitory fluctuations in resources).
We use cookies to provide you with an optimal website experience. This includes cookies that are necessary for the operation of the site as well as cookies that are only used for anonymous statistical purposes, for comfort settings or to display personalized content. You can decide for yourself which categories you want to allow. Please note that based on your settings, you may not be able to use all of the site's functions.
Cookie settings
These necessary cookies are required to activate the core functionality of the website. An opt-out from these technologies is not available.
In order to further improve our offer and our website, we collect anonymous data for statistics and analyses. With the help of these cookies we can, for example, determine the number of visitors and the effect of certain pages on our website and optimize our content.