Abstract
Longitudinal survey data can arise in many different settings, e.g., from rotating panel surveys, in cohort studies, and in the context of field experiments that involve economic and social phenomena that change over time. In all of these settings the longitudinal feature implies repeated interviews of respondents from nonstationary populations, and both panel attrition and missing data present special concerns. The issues here are ones involving both design and analysis. Among the design issues in a longitudinal survey is how to achieve a high degree of data continuity by following movers, when the cost of such continuity is high. If the sampling units of interest are groups as opposed to individuals, there is often a critical need for operational definitions of “family” and “household”, because the concepts are dynamic and change over time. Among the analysis issues addressed in the paper are (i) the use of longitudinal vs. cross-sectional methods of imputation and adjustment for missing values, and (ii) the use of weights in longitudinal analyses to adjust for unequal probabilities of selection and nonresponse.
This research was supported in part by the National Science Foundation under Grants No. SES-8119219 to Carnegie-Mellon University, Grant No. SES-8119138 to the Research Foundation of the State University of New York, and Grant No. BNS-8011494 while the first author was a John Simon Guggenheim Fellow at the Center for Advanced Study in the Behavioral Sciences. We have benefitted greatly from comments on earlier versions of this paper by Robert F. Boruch, Daniel Horvitz, Graham Kalton, Robert W. Pearson, and T.M.F. Smith. Numerous people provided references, ideas, and miscellaneous documents and manuscripts. We bear sole responsibility for the way in which the material has been expressed.
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References
Bedrick, E. J. 1983. Adjusted chi-squared tests for cross-classified tables of survey data. Biometrika 70:591–595.
Beveridge, A. 1982. Reliability in large scale household surveys: The case of the Annual Housing Survey. Paper presented at the Annual Meeting of the Association for Public Data Users, Washington, D.C., October, 1982.
Beveridge, A. and Taylor, B. 1980. A continuation of the longitudinal transformation and analysis of the Annual Housing Survey. Quarterly Report—3rd Quarter on Grant HUD-5516 RG.
Bielby, W. T., Hawley, C. B. and Bills, D. 1977. Research uses of the National Longitudinal Surveys. Special Report No. 18, Institute for Research on Poverty, University of Wisconsin.
Binder, D. A. 1983. On the variances of asymptotically normal estimators from complex surveys. International Statistical Review 51:279–292.
Bonham, G. S. 1983. Procedures and questionnaires of the National Medical Care Utilization and Expenditure Survey. National Medical Care Utilization and Expenditure Survey. Series A, Methodological Report No. 1. DHHS Pub. No. 83–20001. Public Health Service. Washington, D.C.: U.S. Government Printing Office.
Brier, S. S. 1980. Analysis of contingency tables under cluster sampling. Biometrika 67:591–596.
Cherlin, A. J. 1981. Marriage, Divorce, Remarriage. Cambridge: Harvard University Press.
Christensen, R. 1984. A note on ordinary least squares methods for two-stage sampling. Journal of the American Statistical Association 79:720–721.
Coe, R. D. 1978. Dependency and poverty in the short and long run. In Five Thousand American Families: Patterns of Economic Progress, Volume VI. eds. G. J. Duncan and J. N. Morgan. Ann Arbor, MI: Institute for Social Research.
Cox, B. G. and Bonham, G. S. 1983. Sources and solutions for missing data in NMCEUS. Proceedings of the Section on Survey Research Methods. Washington, D.C.: American Statistical Association, 444–449.
Czajka, J. L. and Citro, C. F. 1982. Household income and poverty statistics under alternative measures of household and family composition. Proceedings of the Section on Survey Research Methods. Washington, D.C.: American Statistical Association.
David, M. ed. 1983. Technical, Conceptual, and Administrative Lessons of the Income Survey Development Program. New York: Social Science Research Council.
Dawber, T. R. 1980. The Framingham Study: The Epidemiology of Atherosclerotic Disease. Cambridge: Harvard University Press.
Daymont, T. W. and Andrisani, P. J. 1983. The research uses of the National Longitudinal Surveys: an update. Review of Public Data Use 11:203–310.
Deming, W. E. 1978. Sample surveys: the field. In The International Encyclopedia of Statistics, eds. W. H. Kruskal and J. M. Tanur, 867–885. New York: Free Press.
Department of Justice, Bureau of Justice Statistics 1980. Criminal Victimization in the United States 1979. Washington, D.C.: U.S. Government Printing Office.
Dicker, M. and Casady, R. J. 1982. A reciprocal role model for a longitudinal family unit. Paper presented at American Statistical Association Annual Meeting, Cincinnati, Ohio.
Duncan, G. J., Juster, F. T., and Morgan, J. N. 1986. The role of panel studies in a world of scarce resources. (in this volume)
Duncan, O. D. 1966. Methodological issues in the analysis of social mobility. In Social Structure and Social Mobility in Economic Development. eds. N. Smelser and S. M. Lipset, 51–97. Chicago: Aldine.
Eddy, W., Fienberg, S. E. and Griffin, D. L. 1982. Longitudinal models, missing data, and the estimation of victimization prevalence. In Methodological Development in Criminological Research. ed. J. Hagan, 65–90. Beverly Hills, CA: Sage.
Ferber, R. and Hirsch, W. Z. 1982. Social Experimentation and Economic Policy. Cambridge: Cambridge University Press.
Fienberg, S. E. 1980. The measurement of crime victimization: Prospects for panel analysis of a panel survey. The Statistician 29:313–350.
Fienberg, S. E. and Mason, W. M. 1985. Specification and implementation of age, period, and cohort models. In Cohort Analysis in Social Research: Beyond the Identification Problem. eds. W. M. Mason and S.E. Fienberg, 45–88. New York: Springer-Verlag.
Fienberg, S. E., Singer, B., and Tanur, J. M. 1985. Large scale social experimentation in the United States. In A Celebration of Statistics: The ISI Centenary Volume. A. C. Atkinson and S. E. Fienberg, 287–326. New York: Springer-Verlag.
Fienberg, S. E. and Tanur, J. M. 1983. Large scale social surveys: Perspectives, problems, and prospects. Behavioral Science 28:135–153.
Fuller, W. A. 1984. Least squares and related analyses for complex sample surveys. Survey Methodology 10:97–118.
Goldstein, H. 1979. The Design and Analysis of Longitudinal Studies. London: Academic Press.
Greenlees, J. S., Reece, W. S., and Zieschang, K. D. 1982. Imputation of missing values when the probability of response depends on the variable being imputed. Journal of the American Statistical Association 77:251–260.
Griliches, Z., Hall, B. H., and Hausman, J. 1977. Missing data and self selection in large panels. INSEE Conference “Economics of panel data” Paris, France, August.
Hannan, M.. and Tuma, N. B. 1979. Methods for temporal analysis. In A. Inkeles, J. Coleman, and R. H. Turner. eds. Annual Review of Sociology 5:303–328.
Hansen, M. H., Madow, W. G., Tepping, B. J. 1983. An evaluation of model-dependent and probability-sampling inferences in sample surveys (with discussion). Journal of the American Statistical Association 78:776–807.
Hausman, J. A. and Wise, D. 1977. Social experimentation, truncated distributions, and efficient estimation. Econometrica 45:919–938.
Heckman, J. D. 1976. The common structure of statistical models of truncation, sample selection, and limited dependent variables and a simple estimator for such models. Annals of Economic and Social Measurement 5:475–492.
Hill, B. M. 1980. Robust analysis of the random model and weighted least squares. In Evaluation of Econometric Models. eds. J. Kmenta and J. B. Ramsey, 197–217. New York: Academic Press.
Hoem, J. M. 1983. Weighting, misclassification, and other issues in the analysis of survey samples of life histories. Stockholm Research Reports in Demography No. 11, Department of Statistics, University of Stockholm.
Holt, D. and Scott, A. J. 1981. Regression analysis using survey data. The Statistician 30:169–178.
Horvitz, D. G. 1983. Discussion of earlier draft of this paper. Presented at American Statistical Association Annual Meeting, Toronto, Canada.
Institute of Social Research. 1972. A Panel Study of Income Dynamics. Ann Arbor, Michigan: I.S.R. (This document covers the first two waves of the survey. Further volumes have appeared documenting successive waves.)
Jabine, T. B., Straf, M. L., Tanur, J. M. and Tourangeau, R. eds. 1984. Cognitive Aspects of Survey Methodology: Building a Bridge Between Disciplines. Washington, D.C.: National Academy Press.
Kalbfleisch, J. D. and Prentice, R. L. 1980. The Statistical Analysis of Failure Time Data. New York: Wiley.
Kalton, G. 1983. Discussion of earlier draft of this paper. Presented at the American Statistical Association Annual Meeting, Toronto, Canada.
Kalton, G. 1983. Models in the practice of survey sampling. International Statistical Review 51:175–188.
Kalton, G. and Lepkowski, J. 1982. Cross-wave item imputation. In Technical, Conceptual, and Administrative Lessons of the Income Survey Development Program, ed. M. David, 155–170. New York: SSRC.
Kasprzyk, D. and Kalton, G. 1982. Longitudinal weighting in the Income Survey Development Program. In Technical, Conceptual, and Administrative Lessons of the Income Survey Development Program. ed. M. David, 171–198. New York: SSRC.
Kasprzyk, D. and Lininger, C.A. 1981. The 1982 Survey of Income and Program Participation. Proceedings of the Section on Survey Research Methods. Washington, D.C.: American Statistical Association, 122–127.
Kish, L. and Frankel, M. R. 1974. Inference from complex samples (with discussion). Journal of the Royal Statistical Society 36:1–37.
Koch, G. G., Freeman, D. H., Jr., and Freeman, J. L. 1975. Strategies in the multivariate analysis of data from complex surveys. International Statistical Review 43:59–78.
Larsen, A. S., Watson, M. E., Duncan, D. P., Riccobono, J. A., and Burkheimer, G. J. 1980. National Longitudinal Study: Tabular Summary of the Fourth Follow-up Questionnaire Data. Research Triangle Park, N.C.: Research Triangle Institute.
Little, R. 1983. Superpopulation models for nonresponse. Incomplete Data in Sample Surveys, Volume 2, Theory and Bibliographies. eds. W. G. Madow, I. Olkin, and D.B. Rubin, 337–413. New York: Academic Press.
Madow, W. G., Nisselson, H., and Olkin, I. eds. 1983. Incomplete Data in Sample Surveys, Volume 1, Report and Case Studies. New York: Academic Press.
Madow, W. G., Olkin, I., and Rubin, D. B. eds. 1983. Incomplete Data in Sample Surveys, Volume 2, Theory and Bibliography. New York: Academic Press.
Madow, W. G., and Olkin, I. eds. 1983. Incomplete Data in Sample Surveys, Volume 3, Proceedings of the Symposium. New York: Academic Press.
Mason, W. M. and Fienberg, S. E. eds. 1985. Cohort Analysis in Social Research: Beyond the Identification Problem. New York: Springer-Verlag.
Miller, R. G., Jr. 1981. Survival Analysis (Notes prepared by G. Gong and A. Munoz). New York: Wiley.
Morris, C., Newhouse, J., and Archibald, R. 1979. On the theory and practice of obtaining unbiased and efficient samples in social surveys and experiments. In Research in Experimental Economics, Vol. 1. ed. V.L. Smith, 199–230. Greenwich, Conn.: JAI Press, 199–230.
Morris, C. 1983. Nonresponse issues in public policy experiments, with emphasis on the Health Insurance Study. In Incomplete Data in Sample Surveys, Volume 3, Proceedings of the Symposium. eds. W. G. Madow and I. Olkin, 313–325. New York: Academic Press.
National Commission on Employment and Unemployment Statistics. 1979. Counting the Labor Force. Washington, D.C.: U.S. Government Printing Office.
Newhouse, J. P. 1974. A design for a health insurance experiment. Inquiry 11:5–27.
Penick, B. K. and Owens, M. E. B. eds. 1976. Surveying Crime (Report of the Panel for the Evaluation of Crime Surveys). Washington, D.C.: National Academy of Sciences.
Rao, J. N. K. and Scott, A. J. 1984. On chi-squared tests for multiway contingency tables with cell proportions estimated from survey data. Annals of Statistics 12:46–60.
Reiss, A. J., Jr. 1980. Victim proneness by type of crime in repeat victimization. In Indicators of Crime and Criminal Justice: Quantitative Studies. eds. S.E. Fienberg and A.J. Reiss, Jr. Washington, D.C.: U.S. Government Printing Office.
Riccobono, J. A., Henderson, L. B., Burkheimer, G. J., Place, C., and Levinsohn, J. R. 1981. National Longitudinal Study: Base-year (1972) through fourth follow-up (1979) data file users manual. (Three volumes). Research Triangle Park, N.C.: Research Triangle Institute.
Rubin, D. B. 1976. Inference and missing data. Biometrika 63:581–592.
Rubin, D. B. 1983. Conceptual issues in the presence of nonresponse. In Incomplete Data in Sample Surveys, Volume 2, Theory and Bibliographies. eds. W. G. Madow, I. Olkin, and D. B. Rubin, 125–142. New York: Academic Press.
Saphire, D. G. 1984. Estimation of Victimization Prevalence Using Data From the National Crime Survey. Lecture Notes in Statistics, Volume 23. New York: Springer-Verlag.
Shah, B. V., Holt, M. M. and Folsom, R. E. 1977. Inference about regression models from sample survey data. Bulletin of the International Statistical Institute 47:43–57.
Singer, B. 1980. Individual histories as the focus of analysis in longitudinal surveys. Journal of Economics and Business 32:126–151.
Smith, T. M. F. 1983. On the validity of inferences from non-random samples. Journal of the Royal Statistical Society 146:394–403.
Stasny, E.A. 1983. Estimating Gross Flows in Labor Force Participation Using Data from the Canadian Labour Force Survey. Unpublished Ph.D. dissertation. Department of Statistics, Carnegie-Mellon University.
Stasny, E. A. and Fienberg, S. E. 1985. Some stochastic models for estimating gross flows in the presence of nonrandom nonresponse. In Proceedings of Conference on Gross Flows in Labor Force Statistics. Washington, D.C.: Bureau of the Census and Bureau of Labor Statistics, 25–43.
Tanur, J. M. 1982. Advances in methods for large scale surveys and experiments. In Five Year Outlook on Science and Technology. Washington, D.C.: National Science Foundation, 589–619.
U.S. Bureau of the Census. 1978. The Current Population Survey: Design and Methodology. Technical Paper 40. Washington, D.C.: U.S. Government Printing Office.
U.S. Bureau of the Census. 1984. Economic Characteristics of Households in the United States: Third Quarter 1983. Average Monthly Data from the Survey of Income and Program Participation. Household Economic Studies, Series P-73, No. 1. Washington, D.C.: U.S. Government Printing Office.
White, G. D., Jr. and Huang, H. 1982. Mover follow-up costs for the Income Survey Development Program. Presented at the American Statistical Association Annual Meeting, Cincinnati, Ohio.
Ycas, M. A. 1983. Survey design and panel attrition. In Technical, Conceptual, and Administrative Lessons of the Income Survey Development Program. ed. M. David, 147–154. New York: SSRC.
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Fienberg, S.E., Tanur, J.M. (1986). The Design and Analysis of Longitudinal Surveys: Controversies and Issues of Cost and Continuity. In: Pearson, R.W., Boruch, R.F. (eds) Survey Research Designs: Towards a Better Understanding of Their Costs and Benefits. Lecture Notes in Statistics, vol 38. Springer, New York, NY. https://doi.org/10.1007/978-1-4684-6336-1_4
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