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.
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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 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
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: Europe, America, Asia and Oceania. The LIS staff harmonizes and
standardizes the micro-data from the different surveys in order to facilitate
comparative research. The datasets can be accessed via the internet mailing
system by submitting SAS, SPSS or STATA programs. To allow for more complex
multi-level modelling, soon the package R will be added to this list.
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 Luxembourg and by our member nations.
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 Finland, Germany, Italy and the United Sates. The LIS newsletter
is published twice yearly and mailed to over 1400 scholars in 35 nations.
LWS: Luxembourg Wealth Study
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 contains 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
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/
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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” 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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