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Curated

Cross-National Equivalent File (CNEF), 1970-2009 (ICPSR 145)

Released/updated on: 2006-06-19

Geographic coverage: Canada, South Korea, Great Britain, United States, Australia, Switzerland, Germany, Russia

The Cross-National Equivalent File 1970-2009 contains equivalently defined variables for the British Household Panel Study (BHPS), the Household Income and Labour Dynamics in Australia (HILDA), the Korea Labor and Income Panel Study (KLIPS), the Panel Study of Income Dynamics (PSID), the Russia Longitudinal Monitoring Survey (RLMS-HSE), the Swiss Household Panel (SHP), the Canadian Survey of Labour and Income Dynamics (SLID), and the German Socio-Economic Panel (G-SOEP). The data are designed to allow cross-national researchers not experienced in panel data analysis to access a simplified version of these panels, while providing experienced panel data users with guidelines for formulating equivalent variables across countries. Most importantly, the equivalent file provides a set of constructed variables (for example pre- and post-government income and United States and international household equivalence weights) that are not directly available on the original surveys. Since the Cross-National Equivalent File 1970-2009 can be merged with the original surveys, PSID-CNEF users can easily incorporate these constructed variables into current analyses.

Curated

Human Mortality Database (ICPSR 138)

Released/updated on: 2006-06-19

Geographic coverage: United States, Wales, England, Iceland, Global, Russia, Netherlands, Sweden, Austria, Latvia, Slovakia, France, Bulgaria, Lithuania, Hungary, Japan, Switzerland, Spain, New Zealand, Canada, Czech Republic, Belgium, Norway, Finland, Denmark, Italy, Australia, Germany

The Human Mortality Database (HMD) was created to provide detailed mortality and population data to researchers, students, journalists, policy analysts, and others interested in the history of human longevity. The project began as an outgrowth of earlier projects in the Department of Demography at the University of California, Berkeley, USA, and at the Max Planck Institute for Demographic Research in Rostock, Germany. It is the work of two teams of researchers in the USA and Germany. The main goal of the database is to document the longevity revolution of the modern era and to facilitate research into its causes and consequences. At present, the database contains detailed data for a collection of 26 countries. The countries involved are Australia, Austria, Belgium, Bulgaria, Canada, Czech Republic, Denmark, the total and civilian populations of England and Wales, Finland, France, Germany, West Germany, East Germany, Hungary, Iceland, Italy, Japan, Latvia, Lithunia, Netherlands, the Maori and Non-Maori populations of New Zealand, Norway, Russia, Slovakia, Spain, Sweden, Switzerland, and the United States.

Curated

Simple Crosstabs

Research on Early Life and Aging Trends and Effects (RELATE): A Cross-National Study (ICPSR 34241)

Released/updated on: 2015-05-07

Geographic coverage: Argentina, Puerto Rico, United States, Uruguay, China (Peoples Republic), England, Ghana, India, Russia, Costa Rica, Cuba, Netherlands, Bangladesh, Barbados, Taiwan, Brazil, South Africa, Mexico, Chile, Indonesia

Time period: 1996-01-01--2008-01-01

The Research on Early Life and Aging Trends and Effects (RELATE) study compiles cross-national data that contain information that can be used to examine the effects of early life conditions on older adult health conditions, including heart disease, diabetes, obesity, functionality, mortality, and self-reported health. The complete cross sectional/longitudinal dataset (n=147,278) was compiled from major studies of older adults or households across the world that in most instances are representative of the older adult population either nationally, in major urban centers, or in provinces. It includes over 180 variables with information on demographic and geographic variables along with information about early life conditions and life course events for older adults in low, middle and high income countries. Selected variables were harmonized to facilitate cross national comparisons.

In this first public release of the RELATE data, a subset of the data (n=88,273) is being released. The subset includes harmonized data of older adults from the following regions of the world: Africa (Ghana and South Africa), Asia (China, India), Latin America (Costa Rica, major cities in Latin America), and the United States (Puerto Rico, Wisconsin). This first release of the data collection is composed of 19 downloadable parts: Part 1 includes the harmonized cross-national RELATE dataset, which harmonizes data from parts 2 through 19. Specifically, parts 2 through 19 include data from Costa Rica (Part 2), Puerto Rico (Part 3), the United States (Wisconsin) (Part 4), Argentina (Part 5), Barbados (Part 6), Brazil (Part 7), Chile (Part 8), Cuba (Part 9), Mexico (Parts 10 and 15), Uruguay (Part 11), China (Parts 12, 18, and 19), Ghana (Part 13), India (Part 14), Russia (Part 16), and South Africa (Part 17).

The Health and Retirement Study (HRS) was also used in the compilation of the larger RELATE data set (HRS) (N=12,527), and these data are now available for public release on the HRS data products page. To access the HRS data that are part of the RELATE data set, please see the collection notes below.

Curated

Simple Crosstabs

WHO Study on Global AGEing and Adult Health (SAGE): Wave 0, 2002-2004 (ICPSR 28502)

Released/updated on: 2013-11-15

Geographic coverage: China (Peoples Republic), South Africa, Mexico, Ghana, Global, India, Russia

Time period: 2002-01-01--2004-01-01

The World Health Organization (WHO)'s Study on Global Ageing and Adult Health (SAGE) is a longitudinal follow-up of a cohort of ageing and older adults. SAGE has been built on the experience and standardized instruments of WHO's 2000/2001 Multi-country Survey Study (MCSS) and the 2002/2004 World Health Surveys (WHS). These surveys focused on health and health-related outcomes and their determinants and impacts in nationally representative samples. These data aim to address data gaps on ageing, adult health and well-being in lower and middle income countries, whilst being comparable to surveys conducted in higher income countries (such as the Health and Retirement Study (HRS), English Longitudinal Study of Ageing (ELSA), and the Survey of Health, Ageing and Retirement in Europe (SHARE)). One of the major drivers of this effort has been the lack of comparability of self-reported health status in international health surveys due to systematic biases in reporting, despite using similar instruments and attempts at making questions conceptually equivalent in translation. SAGE uses standard instruments developed over the last decade, a common design and training approach with explicit strategies for making data comparable to cover a wide range of issues that directly and indirectly impact health and well-being. The survey methodology and research design has included a number of methods to address methods for detecting and correcting for systematic reporting biases in health interview surveys, including vignette methodologies, objective performance tests and biomarkers. A number of techniques have also been employed to improve data comparability, including using common definitions of concepts, common methods of data collection and translations, rigorous sample design and post hoc harmonization. The 2002-2004 WHS data from six countries (China, Ghana, India, Mexico, Russia, and South Africa) constitute Wave 0 of WHO's Study on Global Ageing and Adult Health (SAGE). A sample of these respondents were included in the follow-up 2007-2010 SAGE Wave 1 in these six countries, with new respondents added to ensure a nationally representative sample.

Curated

Simple Crosstabs

WHO Study on Global AGEing and Adult Health (SAGE): Wave 1, 2007-2010 (ICPSR 31381)

Released/updated on: 2013-12-20

Geographic coverage: China (Peoples Republic), South Africa, Mexico, Ghana, Global, India, Russia

Time period: 2007-01-01--2010-01-01

These surveys focused on health and health-related outcomes and their determinants and impacts in nationally representative samples. These data will address data gaps on ageing, adult health and well-being in lower and middle income countries, whilst being comparable to surveys conducted in higher income countries (such as the United States' Health and Retirement Study (HRS), English Longitudinal Study of Ageing (ELSA), and the Survey of Health, Ageing and Retirement in Europe (SHARE)). One of the major drivers of this effort has been the lack of comparability of self-reported health status in international health surveys due to systematic biases in reporting, despite using similar instruments and attempts at making questions conceptually equivalent in translation. SAGE uses standard instruments developed over the last decade, a common design and training approach with explicit strategies for making data comparable to cover a wide range of issues that directly and indirectly impact health and well-being.

The survey methodology and research design has included a number of methods to address methods for detecting and correcting for systematic reporting biases in health interview surveys, including vignette methodologies, objective performance tests and biomarkers. A number of techniques have also been employed to improve data comparability, including using common definitions of concepts, common methods of data collection and translations, rigorous sample design and post hoc harmonization. The 2007-2010 SAGE Wave 1 data from six countries (China, Ghana, India, Mexico, Russia, and South Africa) is the follow-up survey project to the 2002-2004 WHO data, which constitutes Wave 0 of WHO's Study on Global Ageing and Adult Health (SAGE). A sample of these respondents from SAGE Wave 0 are included in this follow-up 2007-2010 SAGE Wave 1 in the six countries, with new respondents added to ensure a nationally representative sample.