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Attrition in Longitudinal Household Survey Data : Some Tests for Three Developing-Country Samples

For capturing dynamic demographic relationships, longitudinal household data can have considerable advantages over more widely used cross-sectional data. But because the collection of longitudinal data may be difficult and expensive, analysts must assess the magnitudes of the problems, specific to l...

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Bibliographic Details
Main Authors: Alderman, Harold, Behrman, Jere R., Kohler, Hans-Peter, Maluccio, John A., Cotts Watkins, Susan
Language:en_US
Published: World Bank, Washington, DC 2015
Subjects:
aged
biases
Child Development
data set
data sets
dependent variable
developed countries
developing countries
Development Research
employment
equations
family planning
fathers
Food Policy Research
household characteristics
household data
household income
household level
household survey
household surveys
individual level
informal networks
intervention
interviewer
interviews
labor force
labor force participation
labor market
Living Standards
Living Standards Measurement
migration
Mortality
multivariate analyses
multivariate analysis
multivariate regression
Nutrition
nutritional status
outcome variables
parents
policy research
population size
Population Studies
precision
preschool children
probabilities
probability
radio
random sample
Research Institute
Research Working Papers
researchers
rural areas
siblings
significance level
social networks
social scientists
Specification tests
survey data
urban areas
urban communities
weighting
Household surveys
Longitudinal method
Demographic indicators
Longitudinal data
Sample surveys
Household size
Reduction in force
Migrations
Case studies
Family background
Variables (mathematics)
Multivariate analysis
Behavioral responses
Online Access:http://hdl.handle.net/10986/21336

Internet

http://hdl.handle.net/10986/21336

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