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
top
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