ECINEQ
is committed to broad dissemination of data and believes
that more access to data improves the quality of research. In this
page you
will find links to data that are for the most part freely available.
If you have comments or suggestions
please contact
INTERNATIONAL: Survey Data
CNEF:
The Cross-National Equivalent File
The
Cross-National
Equivalent File 1970-2008 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)
(new!),
the Panel Study of Income Dynamics (PSID), the Swiss Household Panel
(SHP), the
Canadian Survey of Labour and Income Dynamics (SLID), and the German
Socio-Economic Panel (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
1970-2008 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-Integrated Public Use Microdata Series
and other Projects
The Minnesota Population Center provides
various demographic data sources free over the internet. Their
projects
include:
·
IPUMS-International:
Harmonized data for 1960 forward, covering 326 million people in 159
censuses
from around the world.
·
IPUMS-USA:
Harmonized data on people in the U.S. census and American Community
Survey,
from 1850 to the present.
·
IPUMS-CPS:
Harmonized data on people in the Current Population Survey, every
March from
1962 to the present.
·
NAPP - North Atlantic
Population Project:
Complete-count data from 1800s censuses of Canada, Great Britain,
Norway,
Sweden, and the U.S.
·
NHGIS
- National Historical Geographic Information System: Tabular U.S.
census data
and GIS boundary files from 1790 to 2000.
·
IHIS - Integrated
Health Interview Series: Annual
harmonized data on people in the U.S. National Health Interview Survey
from the
1960s to the present.
·
ATUS-X
American Time Use Survey-X: Annual harmonized data from 2003 forward
on how
U.S. adults divide their time among activities.
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 Paraguay were designed and implemented by an
associated
project (click here
to find
out more.)
Data from Puerto Rico, the Dominican
Republic, Nicaragua, Costa Rica, Paraguay, Peru, and Haiti are
available, and
can be downloaded from this website. Future releases will be made
available
through this website as well. If you would like to receive an email
announcement every time we make new data available, register as a LAMP user and specify so on
the registration form.
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: Luxembourg Income Study
LIS, the cross-national data centre in
Luxembourg - formerly known as the Luxembourg Income Study – is a
non-profit
institution regulated under Luxembourg law and governed by an
international
board. LIS’ data holdings are organised into two databases, one of
which is the
longstanding Luxembourg Income Study Database . The LIS database is
the largest
available income database of harmonised microdata collected from over
50
countries over a period of decades, starting from 1968 up to 2013. The
LIS
datasets contain variables on market income, public transfers and
taxes,
household- and person-level characteristics, labour market outcomes,
and, in
some datasets, expenditures. 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. The data are cross-national, cross-sectional, and pertain to
multiple
time periods. The data are organized into “waves” corresponding to
regular intervals.
LWS: Luxembourg Wealth Study
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 panel database
of micro data on health, socio-economic status and social and family
networks
of more than 45,000 individuals aged 50 or over. As such, it
responds to a
Communication by the European Commission calling to "examine the
possibility of establishing, in co-operation with Member States, a
European
Longitudinal Ageing Survey". By now SHARE has become a major pillar
of the
European Research Area and in 2008 was selected as one of the
projects to be
implemented in the European Strategy Forum on Research
Infrastructures (ESFRI).
Eleven countries contributed 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 were collected in 2005-06 in
Israel.
Two 'new' EU member states - the Czech Republic and Poland - as well
as Ireland
joined SHARE in 2006 and participated in the second wave of data
collection in
2006-07. The
survey’s third wave of data collection, SHARELIFE,
collects detailed retrospective life-histories in thirteen
countries in
2008-09.
SHARE is coordinated centrally at the Mannheim
Research
Institute for the Economics of Aging (MEA).
It
is harmonized with the U.S.
Health and Retirement Study (HRS)
and
the English
Longitudinal
Study of Ageing (ELSA).
SHARE’s scientific power is
based on its panel design that grasps the dynamic character of the
ageing
process. SHARE’s multi-disciplinary approach delivers the full
picture of the
ageing process. Rigorous procedural guidelines and programs ensure
an ex-ante
harmonized cross-national design.
Data collected include health variables (e.g. self-reported health,
health
conditions, physical and cognitive functioning, health behaviour,
use of health
care facilities), bio-markers (e.g. grip strength, body-mass index,
peak flow),
psychological variables (e.g. psychological health, well-being, life
satisfaction), economic variables (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 features
anchoring vignettes from the COMPARE
project and variables and indicators created by the AMANDA
RTD-Project.
The
data
are available to the entire research community free of charge.
http://www.share-project.org/
INTERNATIONAL: Other Data
OXLAD: Oxford Latin American Economic History
Database
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 Latin America.
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).
SEDLAC:
Socio-Economic
Database for Latin America and the Caribbean
This website includes statistics on
poverty and other distributional and social variables from 25 Latin
American
and Caribbean countries, based on microdata from households surveys
carried out
in these countries using a homogenous methodology (data permitting).
The study
is carried out by the Center for Distributional, Labor and Social
Studies
(CEDLAS) of the University of La Plata, in partnership with the World
Bank's
Latin America and the Caribbean Poverty and Gender Group (LCSPP).
Other
indicators included are indicators on inequality, income, employment,
access to
services, education, health, housing, social programs, and numerous
demographics.
http://sedlac.econo.unlp.edu.ar/eng/index.php
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
2.0c May 2008
The UNU/WIDER World Income Inequality Database (WIID) collects and stores information on income inequality for developed, developing, and transition countries.
WIID2 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. In addition to the Gini
coefficient
and quintile and decile shares, survey means and medians along with
the income
shares of the richest 5% and the poorest 5% have been included in the
update.
In addition to the Gini coefficient reported by the source, a Gini
coefficient
calculated using a new method developed by Tony Shorrocks and Guang
Hua Wan is
reported. The method estimates the Gini coefficient from decile data
almost as
accurately as if unit record data were used.
The database and its
documentation are available on this website.
http://www.wider.unu.edu/research/Database/en_GB/database/
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” à “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: 2005,1999, 1984 http://www.statcan.ca/english/Dli/Data/Ftp/sfs.htm Cyprus CySCF:
The Cyprus Survey of Consumer Finances The
objective of the project is to build a household-level
database 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 database is similar in
scope to the United States Survey
of Consumer Finances, the Italian Survey
of Household Income and Wealth, the Dutch CentER
Data Panel and the Finnish Wealth
Survey. Current
Status: Two waves of the survey are already completed,
namely the CySCF1999 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 2006. http://194.42.1.1/~alex/Consumer_Finances/Cyprus%20Survey%20of%20Consumer%20Finances.htm Germany 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 in Germany. The same private households, persons
and families have been surveyed annually since 1984. As early
as June 1990—even before the Economic, Social and Monetary
Union—SOEP expanded to include the states of the former German
Democratic Republic (GDR), thus seizing the rare opportunity
to observe the transformation of an entire society. An
immigrant sample was added as well to account for the changes
that took place in Germany society in 1994/95. Further new
samples were added in 1998, 2000, 2002, and 2006. The survey
is constantly being adapted and developed in response to
current social developments. The data are available to
researchers in Germany and abroad in SPSS, SAS, Stata, and
ASCII format for immediate use. Extensive documentation in
English and German
is available online. http://www.diw.de/english/soep_overview/33899.html 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. 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
*** 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/
top EFF:
Spanish Survey of Household Finances The
Spanish Survey of Household Finances (EFF) provides
information on incomes, assets, debts and consumption at the
household level. Two waves are available for 2002 and 2005. A
third wave with a longitudinal component in 2008 is being
developed. For further information follow the following link
under “Survey of Household Finances” http://www.bde.es/estadis/estadise.htm 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 Great Britain. Additional
samples of 1,500 households in each of Scotland and Wales were
added to the main sample in 1669, and in 2001 a sample of
2,000 households was added in Northern Ireland, making the
panel suitable for UK-wide research. http://www.iser.essex.ac.uk/ulsc/bhps/ *** 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:
*** FES:
Family Expenditure Survey
The
UK Family Expenditure Survey (FES) is a continuous survey of
household expenditure and income which has been in existence
since 1957. Annual samples of around 10,000 households (about
1 in 2000 of all United Kingdom households) are selected each
year. Approximately 60 percent of these households co-operate
by providing information about the household, household and
personal incomes and certain payments that recur regularly
(e.g. rent, gas and electricity bills, telephone accounts,
insurances, season tickets and hire purchase payments) and in
maintaining a detailed expenditure record for 14 consecutive
days. The main purpose of the survey is to provide the weights
for the United Kingdom Retail Price Index (RPI). The survey is
also a cost efficient way of collecting a variety of related
data that the government departments require to correlate with
income and expenditure at the household, tax unit and person
levels. The UK Data Archive holds data from 1961 onwards. The
data for the years 1964-1967, however, are currently in an
inaccessible format. http://www.esds.ac.uk/government/fes/ *** WAS:
Wealth and Assets Survey
http://www.statistics.gov.uk/StatBase/Product.asp?vlnk=15074 United
States CPS:
Current Population Survey
Data at the NBER *** HRS:
Health and Retirement Study The
University of Michigan Health and Retirement Study (HRS)
surveys more than 22,000 Americans over the age of 50 every
two years. Supported by the National Institute on Aging (NIA
U01AG09740), the study paints an emerging portrait of an aging
America's physical and mental health, insurance coverage,
financial status, family support systems, labor market status,
and retirement planning. The full scope of the study is
described in this graphical overview of the data collection
process. HRS data products are available without cost to
researchers and analysts http://hrsonline.isr.umich.edu/ *** IPUMS-USA:
Integrated Public Use Microdata Series-USA The
Integrated Public Use Microdata Series (IPUMS) is a coherent
national census database spanning 1850 to 2000. It consists of
thirty-seven high-precision samples of the American population
drawn from fifteen federal censuses and from the American
Community Surveys of 2000-2003. Some of these samples have
existed for years, and others were created specifically for
this database. The thirty-seven samples, which draw on every
surviving census from 1850-2000, collectively comprise our
richest source of quantitative information on long-term
changes in the American population. However, because different
investigators created these samples at different times, they
employed a wide variety of record layouts, coding schemes, and
documentation. This has complicated efforts to use them to
study change over time. The IPUMS assigns uniform codes across
all the samples and brings relevant documentation into a
coherent form to facilitate analysis of social and economic
change. There is free access and use! *** NLS:
The
National Longitudinal Survey The
National Longitudinal Survey are
a set of surveys designed to gather information at multiple
points in time on the labor market activities and other
significant life events of several groups of men and women.
For more than 3 decades, NLS data have served as an important
tool for economists, sociologists, and other researchers. The
NLS include the following: National
Longitudinal Survey of Youth 1979 (NLSY79)--
Survey of men and women born in the years 1957-64;
respondents were ages 14-22 when first interviewed in 1979.
Includes income and wealth data. NLSY79 Children
and Young Adults--
Survey of the biological children of women in the NLSY79. National
Longitudinal Surveys of Young Women and Mature Women (NLSW)--
The Young Women's
survey includes women who were ages 14-24 when first
interviewed in 1968. The Mature Women's survey includes
women who were ages 30-44 when first interviewed in 1967.
These surveys are now conducted simultaneously in
odd-numbered years. National
Longitudinal Surveys of Young Men and Older Men--
The Young Men's survey, which was discontinued in 1981,
includes men who were ages 14-24 when first interviewed in
1966. The Older Men's survey, which was discontinued in
1660, includes men who were ages 45-59 when first
interviewed in 1966. http://www.bls.gov/nls/home.htm *** PSID:
Michigan Panel Study of Income Dynamics The
PSID is a longitudinal survey of a representative sample of US
individuals and the families in which they reside. It
emphasizes the dynamic aspects of economic and demographic
behavior, but its content is broad, including sociological and
psychological measures.
*** SCF:
Survey of Consumer Finances The
Survey of Consumer Finances is a triennial survey of the
balance sheet, pension, income, and other demographic
characteristics of U.S. families. The survey also gathers
information on the use of financial institutions. The links to
the surveys provide summary results of the surveys, codebooks
and related documentation, and the publicly available data.
Also included here are the data and related information from
the 1962 Survey of Financial Characteristics of Consumers and
the 1963 Survey of Changes in Family Finances. These surveys
are the most direct precursors of the SCF. Similar information
on the 1983 and 1989 Surveys of Pension Providers is provided
as well. http://www.federalreserve.gov/pubs/oss/oss2/scfindex.html *** SIPP:
Survey of Income and Program Participation The
main objective of SIPP is to provide accurate and
comprehensive information about the income and program
participation of individuals and households in the United
States, and about the principal determinants of income and
program participation. SIPP offers detailed information on
cash and noncash income on a sub annual basis. The survey also
collects data on taxes, assets, liabilities, and participation
in government transfer programs. SIPP data allow the
government to evaluate the effectiveness of federal, state,
and local programs. http://www.sipp.census.gov/sipp/index.html ***
Statistics
and analysis of US Income Inequality since 1947. Page last updated on 9/10/2010 |
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