Attrition in Longitudinal Household Survey Data: Some Tests for Three Developing-Country Samples
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Longitudinal household data can have considerable advantages over much more widely used cross-sectional data for capturing dynamic demographic relationships. Because the collection of longitudinal data may be difficult and expensive, analysts need to a
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Over time, the number of cases available for analysis in prospective longitudinal studies decreases, sometimes drastically.
“Over time, the number of cases available for analysis decreases, sometimes drastically so (e.g., Behr et al. 2005, Alderman et al. 2001).”
From Endogenous Selection Bias: The Problem of Conditioning on a Collider Variable (2014) · cites this paper as Alderman et al. 2001
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Research works printed but not linked: 15
- Ahlo, Juha M., 1990, "Adjusting for Non-response Bias Using Logistic Regression," Biometrika 77(3): 617-624.
- Becketti, Sean, William Gould, Lee Lillard, and Finis Welch, 1988, "The Panel Study of Income Dynamics after Fourteen Years: An Evaluation," Journal of Labor Economics 6: 472-92.
- van den Berg, Gerard J. and Maarten Lindeboom, 1998, "Attrition in Panel Survey Data and the Estimation of Multi-State Labor Market Models," The Journal of Human Resources 33(2): 458-478.
- Cochran, William G. (1977). Sampling Techniques. New York: Wiley & Sons.
- Falaris, Evangelos M. and H. Elizabeth Peters, 1998, "Survey Attrition and Schooling Choices," The Journal of Human Resources 33 (2): 531-554.
- Fitzgerald, John, Peter Gottschalk, and Robert Moffitt, 1998, "An Analysis of Sample Attrition in Panel Data," The Journal of Human Resources 33 (2): 251-99.
- Foster, Andrew and Mark R. Rosenzweig, 1995, "Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture," Journal of Political Economy 103 (6): 1176-1209.
- Grosh, Margaret and Paul Glewwe, eds., 2000, Designing Household Survey Questionnaires for Developing Countries: Lessons from Ten Years of LSMS Experience, Oxford, UK: Oxford University Press for the World Bank
- Lillard, Lee A. and Constantijn W.A. Panis, 1998, "Panel Attrition from the Panel Study of Income Dynamics," The Journal of Human Resources 33 (2): 437-57.
- Little, Roderick J. A. and Rubin, Donald B., 1987, Statistical Analyses with Missing Data, New York: Wiley.
- Maddala, G. S., 1983, Limited-Dependent and Qualitative Variables in Econometrics. Cambridge: Cambridge University Press.
- Maluccio, John A., 2001, "Using Quality of Interview Information to Assess Nonrandom Attrition Bias in Developing Country Panel Data," Review of Development Economics (forthcoming).
- Powell, J., 1994, "Estimation of Semi-Parametric Models." In R. Engle and D. Mcfadden (eds.), Handbook of Econometrics, Vol IV, Amerstdam and New York: North Holland.
- Zabel, Jeffrey E., 1998, "An Analysis of Attrition in the Panel Study of Income Dynamics and the Survey of Income and Program Participation with an Application to a Model of Labor Market Behavior," The Journal of Human Resources 33 (2): 479-506.
- Ziliak, James P. and Thomas J. Kniesner, 1998, "The Importance of Sample Attrition in Life Cycle Labor Supply Estimation," The Journal of Human Resources 33 (2): 507-3
Cited by
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Endogenous Selection Bias: The Problem of Conditioning on a Collider Variable
Elwert, F., & Winship, C. (2014) · Annual Review of Sociology · doi:10.1146/annurev-soc-071913-043455 · Cited by 1,168 · see citing works
Ayedoun, O. A. A., Sossou, C. H., Zannou, A., Hinnou, C. L., & Adegbola, Y. P. (2026) · Asian Journal of Agriculture and Rural Development · doi:10.55493/5005.v16i3.6177
- Authors
- Alderman, H., Behrman, J., Kohler, H.-P., Maluccio, J. A., & Watkins, S.
- Affiliations
- World Bank (US)
- University of Pennsylvania (US)
- Max Planck Institute for Demographic Research (DE)
- International Food Policy Research Institute (US)
- Venue
- Demographic Research
- Published
- 2001-11-13
- Volume
- 5
- Pages
- 79-124
- ISSN
- 1435-9871 (ISSN-L)
- OpenAlex
- W1504718459
- Cited by
- 241
- References
- 0
- Citations by year
- 2026: 4 · 2025: 4 · 2024: 6 · 2023: 11 · 2022: 6 · 2021: 13 · 2020: 10 · 2019: 5 · 2018: 12 · 2017: 6 · 2016: 20 · 2015: 10 · 2014: 12 · 2013: 22 · 2012: 18
- FWCI
- 14.49
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- Demographic Research (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- FCND briefs (submittedVersion)
- IFPRI E-brary (International Food Policy Research Institute) (submittedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- International Food Policy Research Institute (International Food Policy Research Institute) (submittedVersion, other-oa)
- Topics
- Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Physical Sciences › Mathematics › Statistics and Probability › Survey Sampling and Estimation Techniques
- Keywords
- attrition, longitudinal household survey, panel data, survey data quality, demographic dynamics, data collection costs
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