If you have comments or suggestions please contact
INTERNATIONAL: Survey Data
The main work of this consortium is to create the comparative micro database of
CHER, which will contain comparable variables transformed according to a common
plan and be built by using standardized international classifications where
available. Information in these files will be available (a) for households and
individuals on the
micro level,
(b) for single years and (c) as longitudinal information, all of them linked to
macro and institutional data. The comparative database will contain harmonized
and consistent variables and identical data structures for each country
included: 14 EU countries,
http://www.ceps.lu/cher/accueil.cfm
CNEF:
The Cross-National Equivalent File
The Cross-National Equivalent File 1980-2005 contains equivalently
defined variables for the Panel Study of Income Dynamics (PSID), the German
Socio-Economic Panel (GSOEP), the British Household Panel Study (BHPS), the
Household Income and Labour Dynamics in Australia (HILDA), and the Canadian
Survey of Labour and Income Dynamics (SLID). 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 1980-2005 can be
merged with the original surveys, PSID-CNEF users can easily incorporate these
constructed variables into current analyses.
http://www.human.cornell.edu/che/PAM/Research/Centers-Programs/German-Panel/cnef.cfm
DHS:
Demographic and Health Surveys
Demographic and Health Surveys (DHS) are
nationally-representative household surveys with large sample sizes (usually between
5,000 and 30,000 households). DHS surveys provide data for a wide range of
monitoring and impact evaluation indicators in the areas of population, health,
and nutrition.
Typically, DHS surveys are conducted every 5 years, to allow comparisons
over time.
Interim
Surveys focus on the collection of information on key
performance monitoring indicators but may not include data for all impact
evaluation measures (such as mortality rates). These surveys are conducted
between rounds of DHS surveys and have shorter questionnaires than DHS surveys.
Although nationally representative, these surveys have smaller samples than DHS
surveys (2,000–3,000 households).
The basic approach of the MEASURE DHS program is to collect and make
available data that are comparable across countries. To achieve this, MEASURE
DHS works to ensure that proper guidance is in place, budgets and schedules are
managed, and standard procedures are followed. MEASURE DHS makes available a
variety of resources and services to support these efforts.
http://www.measuredhs.com/aboutsurveys/dhs/start.cfm
IPUMS-International:
Integrated Public Use Microdata Series-International
IPUMS-International is a new project dedicated to collecting and
distributing census data from around the world. Its goals are to:
-
Collect and preserve
data and documentation by converting census microdata for multiple
countries into a consistent format, supplying comprehensive documentation,
and making the data and documentation available through a web-based data
dissemination system.
-
Harmonize data and
documentation to ease comparisons across time and across nations, without
loss of information.
-
Disseminate the data
absolutely free
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LAMP:
The
Latin American Migration Project
The Latin American Migration Project (LAMP) is a collaborative research
project based at Princeton University and the University of Guadalajara. The
LAMP was born as an extension of the
Mexican Migration Project (MMP), which
was created in 1982 by an interdisciplinary team of researchers to advance our
understanding of the complex processes of international migration and
immigration to the United States. Data gathered by the MMP have been the source
of a sizable amount of research on international migration. The purpose of the
LAMP is to extend this research to migration flows originating in other Latin
American countries.
The LAMP and the MMP share the same methodology (see the MMP
website). An ethnosurvey focusing on the
migration process is at its core. In addition to basic demographic data, the
survey gathers information on family composition, fertility, infant mortality,
marital history of the household head, labor history of the household head and
his/her spouse, and ownership history of properties and businesses.
Furthermore, detailed data on internal migration, migration to the mainland US,
and multiple aspects of key US trips (work experience, income, social networks,
remittances, welfare use, etc.) are also collected.
The LAMP began operations in 1998 with a set of surveys conducted in
Puerto Rico. It expanded later with fieldwork carried out in the Dominican
Republic, Nicaragua, Costa Rica, Haiti, Peru, and Guatemala. In addition, a
modified version of the LAMP survey was implemented in Paraguay to study
migration from that country to Argentina. The surveys in Nicaragua and Costa
Rica were made possible through an association between the LAMP and the Central
American Population Center of the University of Costa Rica. The surveys in
Data from
http://lamp.opr.princeton.edu/
LSMS:
Living Standards Measurement Study of the World Bank
Living Standards Measurement Study (LSMS) household surveys
have become an important tool in measuring and understanding poverty in
developing countries. The Development Economics Research Group (DECRG) of the
World Bank, formerly the Policy Research Department, maintains this website to
make available to researchers around the world the data sets and methodological
lessons from these surveys.
The main
objective of LSMS surveys is to collect household data that can be used to
assess household welfare, to understand household behavior, and to evaluate the
effect of various government policies on the living conditions of the
population. Accordingly, LSMS surveys collect data on many dimensions of
household well-being, including consumption, income, savings, employment,
health, education, fertility, nutrition, housing and migration.
http://www.worldbank.org/lsms/index.htm
LIS:
The LIS database is a collection of
household income surveys. These surveys provide demographic, income, and
expenditure information on three different levels: household, person, and
child. LIS is a not-for-profit cooperative research project joining 29
countries on four continents:
The LIS databank contains more than
140 datasets covering the period 1968 to 2002. At present, recent surveys are
being added to fully represent the period of the late 1660's or 2000 for most
of the nations. Extensive documentation concerning technical aspects of the
survey data, the harmonization process, and the social institutions of income
provision in member countries is also available to users. This work has been
supported by the U.S. National Institute on Aging, the Statistical Office of
the European Community, the Office of Economic Cooperation and Development, the
European Community Directorate General’s Office, the Ford Foundation, U.S.
Agency for International Development, the Russell Sage Foundation, by the
government of
Reports by participants in the LIS
project have appeared in books, articles and dissertations, and are often
featured in the media. Each completed study is published in the LIS working
paper series, which currently numbers more than 400 papers. Most working papers
are available on the LIS home page. The
project conducts annual summer workshops to introduce researchers to the
database, and to give scholars experience in cross-national analysis of social
policy issues related to poverty analyses and income distribution. Over 450
students attended these summer-sessions.
Local workshops have also been organized in
LWS:
The
Luxembourg Wealth Study (LWS) was launched in 2003 after a team of experts on
wealth and data collection agreed that scientific probability, timing, data
availability and funding possibilities were in line to create a
cross-nationally comparable wealth dataset from existing data. LWS is part of a
not-for-profit organization–the Luxembourg Income Study (LIS), existing since
1983 and providing access to over 140 comparable datasets from 29 countries.
The LWS
Project has four goals:
1) Establishing a network of producers of
micro-data on household net worth in order to share accumulated knowledge and
exchange information on best practices;
2) Constructing a cross-national comparable
dataset based on existing data to form the Luxembourg Wealth Study (LWS), that
will be made eventually available through the Luxembourg Income Study database
(LIS) to all researchers. For now the aim is ex post standardization for a limited number of nations. Once the
project is successful, in the medium period, it could stimulate ex ante standardization, as LIS has
already done in the income area;
3) Producing comparative studies on household
net worth, portfolio composition, and the wealth distribution of populations in
different countries. Exploiting the comparability aspect of the LWS data to
better understand conflicting evidence from micro and macro sources; and
4) Produce guidelines for data producers,
similar to what has been done for income distribution statistics through LIS
with the final Report of the Canberra Group.
LWS
will contain data on detailed wealth holdings, household and adult
characteristics, behavioral aspects of wealth holdings and, to the extent
possible, income and consumption data as well. Thus, it will facilitate wealth
comparability with income comparability across countries and lead to new
studies including wealth, consumption and income. Topics such as accumulation
of retirement wealth, age patterns of asset accumulation, housing wealth, and
similar subject matter can be studied with this database
http://www.lisproject.org/lws.htm
PACO:
The Panel Comparability
Project
PACO is a centralized approach to create an international comparative database
integrating micro-data from various national household panels over a large
number of years. The PACO Database contains harmonized and consistent variables
and identical data structures of each country included. Therefore, the PACO
Database facilitates comparative cross-national and longitudinal research on
processes and dynamics of policy issues such as labour force participation,
income distribution, poverty and problems of the elderly. The PACO database
contains data from household panel studies in Luxembourg (PSELL), Germany
(SOEP), Great Britain (BHPS), the United States (PSID), France
(ESEML-Lorraine), Hungary (HHP) and Poland (PHP), for years ranging from 1986
through 1664. Data from household panel studies of other countries such as the
http://www.ceps.lu/paco/accueil.cfm
PANEL
DATASETS IN DEVELOPING AND TRANSITIONAL COUNTRIES (Version 1 07.2003)
Compiled
by David Lawson, Andy McKay and Karen Moore. A listing of studies by country.
http://www.chronicpoverty.org/pdfs/PanelDatasetsVersion1-July%202003.pdf
SHARE:
Survey of Health, Ageing and Retirement in Europe
The Survey of Health, Ageing and Retirement in Europe
(SHARE) is a multidisciplinary and cross-national data base of micro data on
health, socio-economic status and social and family networks of some 22,000
Continental European individuals over the age of 50. SHARE is co-ordinated
centrally at the
Mannheim
Research Institute for the Economics of Aging. Eleven
countries have contributed micro data to the 2004 SHARE baseline study. They
are a balanced representation of the various regions in Europe, ranging from
Scandinavia (Denmark and Sweden) through Central Europe (Austria, France,
Germany, Switzerland, Belgium, and the Netherlands) to the Mediterranean (Spain,
Italy and Greece). Further data are currently being collected in
Israel.
SHARE has been designed after the role models of the
Data collected include health variables (e.g. self-reported health, physical
functioning, cognitive functioning, health behaviour, use of health care
facilities), psychological variables (e.g. psychological health, well-being,
life satisfaction), economic variables (e.g. current work activity, job
characteristics, opportunities to work past retirement age, sources and
composition of current income, wealth and consumption, housing, education), and
social support variables (e.g. assistance within families, transfers of income
and assets, social networks, volunteer activities).
In addition, the SHARE data base includes variables and indicators created by
the
AMANDA
RTD-project under the European Union’s 5th framework
programme. The data is freely available to the entire research community.
http://www.share-project.org/
INTERNATIONAL: Other Data
OXLAD:
The Oxford Latin American Economic History Database
(OxLAD) contains statistical series for a wide range of economic and social
indicators covering twenty countries in the region for the period 1900-2000.
Its purpose is to provide economic and social historians worldwide with a
systematic recompilation of available statistical information in a single
on-line source. The data presented in OxLAD have been selected with a view
toward providing comprehensive coverage while ensuring as much consistency and
intercountry comparability as possible in the definition, coverage, and
valuation of the series. In doing so, it makes an important contribution to
long-run comparative research on
The project on the economic history of twentieth
century Latin America from which the database derives was initiated and funded
by the Inter-American Development Bank, and
resulted in the study published as Thorp, R. 'Progress, Poverty and
Exclusion: an Economic History of Latin America in the Twentieth Century'
(Washington DC: Inter-American Development Bank, 1998).
UTIP: University of Texas Inequality Project
UTIP is a small research group concerned with measuring and explaining
movements of inequality in wages and earnings and patterns of industrial change
around the world.
We believe we can establish reasonably reliable relationships between
these measures and the broader concepts of inequality, such as income
inequality.
Our work has emphasized the use of Theil's T statistic to compute
inequality indexes from industrial, regional and sectoral data. The methods we
use to measure inequality are presented in the
tutorials section and the working paper series section. Macros to facilitate the calculations can be downloaded
from the tools section.
We produce data sets on pay inequality at the global level, at the
national level including for Russia, China and India, and at the regional level
for Europe. We have also used pay inequality as an instrument to estimate
measures of household income inequality, for a large panel of countries from
1963 through 1999. This new global data set has nearly 3,200 country-year
observations. All data sets are available in the
data section.
UTIP receives financial support mainly from the Lloyd M. Bentsen Jr.
Chair in Business/Government Relations at the
Lyndon B. Johnson School of Public Affairs, the University
of Texas at Austin. We have received past
support from the Ford Foundation and from the Carnegie Scholars
Program.
We work in association with
Economists
for Peace and Security and the
Levy Economics Institute.
http://utip.gov.utexas.edu/data.html
WIID: World Income Inequality Database V 2.0b May 2007
The UNU/WIDER World Income
Inequality Database (WIID) collects and stores information on income inequality
for developed, developing, and transition countries.
WIID2a consists of a checked and corrected WIID1, a new update of the
Deininger & Squire database from the World Bank, new estimates from the
Luxembourg Income Study and Transmonee, and other new sources as they have
became available. WIID2a contains fewer points of data than WIID1 as some
overlaps between the old Deininger & Squire data and estimates included by
WIDER have been eliminated along with some low quality estimates adding no
information.
The database and its documentation
are available on this website.
NOTE:
A major update of the World Income Inequality Database is
available as of May 2007. Please consult the revision notes for details.
http://www.wider.unu.edu/wiid/wiid.htm
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BY
COUNTRY
EPH: Permanent Household Survey is carried out by the Argentine Bureau (INDEC) since 1974. The
purpose of the survey is to gather information on employment, income, and
socio-economic aspects of the urban population.
At
present, 31 cities – covering 65% of total population - are surveyed 3 times
a year.
May
and October rounds from 1995 onwards are freely available, upon registration.
(click on
“Trabajo e Ingresos” ŕ “Base Usuaria y Tabulados EPH”)
HILDA:
The Household, Income and Labour Dynamics Survey
HILDA is a household-based
panel study which began in 2001. It has the following key features:
Features of the HILDA website
From this site you can view
and download
survey
instruments and discussion papers, browse the growing body of research based on the HILDA data, download the documents needed
to order
the data, learn how to join the HILDA mailing
list, and find useful links to other panel survey websites.
http://www.melbourneinstitute.com/hilda/
SFS:
Survey of Financial Security
The file is produced at the
economic family level with information on family demographics; income;
expenses; behaviours and attitudes; principal residence; assets, debts and
net worth; family composition and size; and the major income recipient.
Survey years available at
this site: 1999, 1984
http://www.statcan.ca/english/Dli/Data/Ftp/sfs.htm
CySCF:
The
The objective of the project is to build a
household-level data base containing extensive information on the financial
and real portfolios of Cypriot households, their labor market status, and
their attitudes towards saving, borrowing, risk taking, liquidity, and other
issues pertinent to financial behavior and portfolio choice. The data base is
similar in scope to the
Current Status: Two waves of
the survey are already completed, namely the CySCF1669 and the CySCF2002
. For each survey data for approximately
1000
Cypriot households
are collected.
The data are used for analysis
of household participation in various types of assets, loans, and insurance.
The third wave,
CySCF2005 is currently under way and the data collection is
expected to be completed by the end of 2005.
http://www.ucy.ac.cy/~alex/Consumer_Finances/Cyprus%20Survey%20of%20Consumer%20Finances.htm
SOEP: The German
Socio-Economic Panel Study
Affiliated to the
Berlin-based
German Institute for Economic
Research (DIW), SOEP is a wide-ranging representative longitudinal study of
private households. It provides information on all household members,
consisting of Germans living in the Old and
http://www.diw.de/english/sop/index.html
Italy
SHIW: Survey on
Household Income and Wealth
The Survey on Household
Income and Wealth (SHIW) began in the 1960s with the aim of gathering data on
the incomes and savings of Italian households surveyed by Italy´s central
bank. The data contain a panel component. Over the years, the scope of the
survey has grown and now includes wealth and other aspects of households'
economic and financial behaviour such as, for example, which payment methods
are used. The sample used in the most recent surveys comprises about 8,000
households (24,000 individuals), distributed over about 300 Italian
municipalities. The survey results are regularly published in the Bank's
Supplements to the Statistical Bulletin.
The data on the households is
freely available, in an anonymous form, for further elaboration and research.
http://www.bancaditalia.it/statistiche/indcamp/bilfait
MHAS:
Mexican Health and Aging Study
The
Mexican Health
and Aging Study (MHAS) is a prospective panel study
of health and aging in Mexico. MHAS is supported by a grant from the National
Institutes of Health/ National Institute on Aging (AG 18016, B.J. Soldo,
P.I.). The study is a collaborative effort among researchers from the
Universities of Pennsylvania, Maryland, and Wisconsin in the U.S., and the
Instituto Nacional de Estadística, Geografia e Informática (INEGI) in Mexico.
http://www.mhas.pop.upenn.edu/english/home.htm
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MMP:
Mexican Migration Project
Mexican Migration Project
(MMP) is a yearly study of Mexican migrants that randomly samples households
in communities throughout Mexico. After gathering social, demographic, and
economic information on the household and its members, interviewers collect
basic information on each person's first and last trip to the United States.
From household heads, they compile a year-by-year history of United States
migration and collect information about the last trip northward, focusing on
employment, earnings, and use of United States social services.
http://mmp.opr.princeton.edu/
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BHPS: The British Household Panel
Survey
The British Household Panel Survey began in 1661 and is a
multi-purpose study whose unique value resides in the fact that:
The wave 1 panel consists of some 5,500 households and
10,300 individuals drawn from 250 areas of
http://www.iser.essex.ac.uk/ulsc/bhps/
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ELSA: English Longitudinal
Study of Ageing
The English Longitudinal
Study of Ageing is an interdisciplinary data resource on health, economic
position and quality of life as people age.
ELSA is the first study in
the UK to connect the full range of topics necessary to understand the
economic, social, psychological and health elements of the ageing process.
The aim of ELSA is to explore the unfolding dynamic relationships between
health, functioning, social networks and economic position. It is in effect a
study of people's quality of life as they age beyond 50 and of the factors
associated with it.
The survey covers the broad
set of topics relevant to a full understanding of the ageing process, these
include:
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Page last updated on
7/24/2007