Sample attrition in the RLMS, 2001–10 Lessons for longitudinal analysis and an application in health
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.
Seventeen papers, originally presented at a conference held in honor of Erik Thorbecke at Cornell University in October 2003, highlight the depth and breadth of Thorbecke's influence in research and policy on poverty, inequality, and development. Papers discuss the growth and roots of Erik Thorbecke's career; the consistency of poverty lines; poverty indices; whether poverty and inequality measures should be combined; an approach to measuring health inequality in India; household investments in education and income inequality at the community level in Indonesia; poverty traps and safety nets; progress in the modeling of rural households' behavior under market failures; labor laws and labor welfare in the context of the Indian experience; macro models and multipliers; multiplier effects and the reduction of poverty; developing an accounting matrix for the euro area; globalization, economic reform, and structural price transmission--social accounting matrix decomposition techniques with an empirical application to Vietnam; institutions, factor endowment, and inequality in Ghana, Kenya, and Senegal; an optimal nonlinear taxation approach combining incentives, inequality, and the allocation of aid when conditionality doesn't work; agricultural research and policy to achieve nutrition goals; and whether dualism is worth revisiting. No index.
Data from three rounds of nationally representative health surveys in India (1992/93, 1998/99, and 2005/06) are used to assess the impact of selective mortality on children's anthropometrics. The nutritional status of the child population was simulated under the counterfactual scenario that all children who died in the first three years of life were alive at the time of measurement. The simulations demonstrate that the difference in anthropometrics due to selective mortality would be large only if there were very large differences in anthropometrics between the children who died and those who survived. Differences of this size are not substantiated by the research on the degree of association between mortality and malnutrition. The study shows that although mortality risk is higher among malnourished children, selective mortality has only a minor impact on the measured nutritional status of children stratified by gender.
Presents a guide to the two health modules included in the World Bank's ADePT analysis software. Discusses what the ADePT health outcomes module does; data preparation; an example data set; how to generate the tables and graphs; interpreting the tables and graphs; technical notes; what the ADePT health financing module does; data preparation; example data sets; how to generate the tables and graphs; interpreting the tables and graphs; and technical notes. Index.
The Russian Longitudinal Monitoring Survey (RLMS) was initially created by the G-7 countries in 1992 as a way to obtain objective nationally representative data on the social, health and economic situation in Russia. It was established to mirror a multipurpose survey—the China Health and Nutrition Survey—and provide in-depth reliable raw data on Russia, accessible for the first time to both Russian and global scholars and institutions. This was instituted in the period following January 1992, when the Russian Federation introduced a series of sweeping economic reforms, including eliminating most food and reducing fuel and other subsidies, using freely fluctuating market prices, privatizing many state enterprises and working to create a growing private sector with private land ownership.
The paper observes the main patterns of youth consumption and leisure in contemporary Russia. It relies on the Russian Longitudinal Monitoring Survey of HSE, a set of nationally representative household-based surveys which includes data collected from 1994 to 2013. The data shows that by 2010 the level of youth consumption has risen along with the households’ overall income and expenditure. The alleviation of financial problems prompted the redistribution of time between work and leisure, so youth turned to the active cultural consumption, including non-entertainment services. However, the total increase in products and services consumed went hand in hand with the rise of differentiation in the availability of durables, patterns of consumption and leisure practices.
The monograph is devoted to the assessment of population health indicators and comprehensive analysis of the factors influencing on the health of indigenous people of Russian North.
In this paper we propose and implement a mechanism of modeling the price indices of food purchases by income groups of households. These indices could be interpreted as differentiated by income food inflation. This approach is based on the differences in prices of purchases for the income groups within each year. We provide the calculations of these indices for the RLMS data and Households Budget Survey conducted by Rosstat (HBS). We discuss possible modifications of the proposed procedure for goals of forecasting of inflation differentiated by income groups. In the result of the comparison with direct calculation of inflation separately for each income group we conclude that the proposed in the paper approach has several advantages, including lower requirements of amount of incoming information.
The paper observes the main patterns of youth consumption and leisure in contemporary Russia. It relies on the Russian Longitudinal Monitoring Survey of HSE, a set of nationally representative household-based surveys which includes data collected from 1994 to 2013. The data shows that by 2010 the level of youth consumption has risen along with the households’ overall income and expenditure. Since financial problems were alleviated, there was a redistribution of time between work and leisure, so youth turned to the active cultural consumption, including non-entertainment services. However, the total increase in products and services consumed went hand in hand with the rise of differentiation in the availability of durables, patterns of consumption and leisure practices.