IDEAS home Printed from https://ideas.repec.org/p/wpa/wuwpla/0408007.html
   My bibliography  Save this paper

Lost but Not Forgotten: Attrition and Follow-up in the Indonesia Family Life Survey

Author

Listed:
  • Duncan Thomas

    (RAND & UCLA)

  • Elizabeth Frankenberg

    (RAND)

  • James P. Smith

    (RAND)

Abstract

Data from three waves of the Indonesia Family Life Survey (IFLS) are used to examine follow-up and attrition in the context of a large scale panel survey conducted in a low-income setting. Household-level attrition between the baseline and first follow-up four years later is less than 6 percent; the cumulative attrition between the baseline and second follow-up after a five-year hiatus is 5 percent. Attrition is low in the IFLS because movers are followed: around 12 percent of households that were interviewed in the first follow-up had moved from their location at baseline. About half of those households were 'local movers.' The other half, many of whom had moved to a new province, were interviewed during a second sweep through the study areas ('second tracking'). Regression analyses indicate that in terms of household- level characteristics at baseline, households interviewed during second tracking are very similar to those not interviewed in the follow-up surveys. Local movers are more similar to the households found in the baseline location in the follow-ups. The results suggest that the information content of households interviewed during second tracking is probably high. The cost of following those respondents is relatively modest in the IFLS. Although the analytical value of reinterviewing movers will vary depending on the specifics of the research, we conclude that, in general, tracking movers is a worthwhile investment in longitudinal household surveys conducted in settings where communication infrastructure is limited.

Suggested Citation

  • Duncan Thomas & Elizabeth Frankenberg & James P. Smith, 2004. "Lost but Not Forgotten: Attrition and Follow-up in the Indonesia Family Life Survey," Labor and Demography 0408007, University Library of Munich, Germany.
  • Handle: RePEc:wpa:wuwpla:0408007
    Note: Type of Document - pdf; pages: 36. Journal of Human Resources, Vol. 36, No. 3, pp. 556-592
    as

    Download full text from publisher

    File URL: https://econwpa.ub.uni-muenchen.de/econ-wp/lab/papers/0408/0408007.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Smith, J.P. & Thomas, D., 1993. "On the Road: Marriage and Mortality in Malaysia," Papers 93-11, RAND - Labor and Population Program.
    2. Becketti, Sean & Gould, William & Lillard, Lee & Welch, Finis, 1988. "The Panel Study of Income Dynamics after Fourteen Years: An Evaluatio n," Journal of Labor Economics, University of Chicago Press, vol. 6(4), pages 472-492, October.
    3. Hausman, Jerry A & Wise, David A, 1979. "Attrition Bias in Experimental and Panel Data: The Gary Income Maintenance Experiment," Econometrica, Econometric Society, vol. 47(2), pages 455-473, March.
    4. James P. Smith & Duncan Thomas, 1998. "On the Road: Marriage and Mobility in Malaysia," Journal of Human Resources, University of Wisconsin Press, vol. 33(4), pages 805-832.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. John Fitzgerald & Peter Gottschalk & Robert Moffitt, 1998. "An Analysis of Sample Attrition in Panel Data: The Michigan Panel Study of Income Dynamics," Journal of Human Resources, University of Wisconsin Press, vol. 33(2), pages 251-299.
    2. Michael Fertig & Stefanie Schurer, 2007. "Earnings Assimilation of Immigrants in Germany: The Importance of Heterogeneity and Attrition Bias," SOEPpapers on Multidisciplinary Panel Data Research 30, DIW Berlin, The German Socio-Economic Panel (SOEP).
    3. Shin, Jaeun & Moon, Sangho, 2006. "Fertility, relative wages, and labor market decisions: A case of female teachers," Economics of Education Review, Elsevier, vol. 25(6), pages 591-604, December.
    4. Mark L Bryan & Nigel Rice & Jennifer Roberts & Cristina Sechel, 2022. "Mental Health and Employment: A Bounding Approach Using Panel Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(5), pages 1018-1051, October.
    5. Nicole Watson & Mark Wooden, 2011. "Re-engaging with Survey Non-respondents: The BHPS, SOEP and HILDA Survey Experience," Melbourne Institute Working Paper Series wp2011n02, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    6. repec:zbw:rwirep:0020 is not listed on IDEAS
    7. Malgorzata Switek, 2016. "Internal Migration and Life Satisfaction: Well-Being Paths of Young Adult Migrants," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 125(1), pages 191-241, January.
    8. Lorenzo Cappellari & Stephen P. Jenkins, 2004. "Modelling Low Pay Transition Probabilities, Accounting for Panel Attrition, Non-Response, and Initial Conditions," CESifo Working Paper Series 1232, CESifo.
    9. Fertig, Michael & Schurer, Stefanie, 2007. "Labour Market Outcomes of Immigrants in Germany: The Importance of Heterogeneity and Attrition Bias," IZA Discussion Papers 2915, Institute of Labor Economics (IZA).
    10. Juergen Jung, 2022. "Estimating transition probabilities between health states using US longitudinal survey data," Empirical Economics, Springer, vol. 63(2), pages 901-943, August.
    11. Nobuhiko Fuwa, 2010. "Should We Track Migrant Households When Collecting Household Panel Data? Household Relocation, Economic Mobility, and Attrition Biases in the Rural Philippines," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(1), pages 56-82.
    12. Nizam Khan & Andrew D. Foster, 1994. "Equilibrating the Marriage Market in a Rapidly Growing Population: Evidence from Rural Bangladesh," Home Pages _080, University of Pennsylvania.
    13. Insan Tunali, 2008. "Analysis of Attrition Patterns in the Turkish Household Labor Force Survey, 2000-2002," Working Papers 393, Economic Research Forum, revised 03 Jan 2008.
    14. Michael Fertig & Stefanie Schurer, 2007. "Labour Market Outcomes of Immigrants in Germany – The Importance of Heterogeneity and Attrition Bias," Ruhr Economic Papers 0020, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    15. Emre Ekinci, 2009. "Dealing with Attrition When Refreshment Samples are Available: An Application to the Turkish Household Labor Force Survey," 2009 Meeting Papers 353, Society for Economic Dynamics.
    16. Meinzen-Dick, Ruth S. & Brown, Lynn R. & Feldstein, Hilary Sims & Quisumbing, Agnes R., 1997. "Gender, property rights, and natural resources," World Development, Elsevier, vol. 25(8), pages 1303-1315, August.
    17. Boudarbat, Brahim & Grenon, Lee, 2013. "Sample Attrition in the Canadian Survey of Labor and Income Dynamics," IZA Discussion Papers 7295, Institute of Labor Economics (IZA).
    18. Ziliak, J.P. & Kniesner, T.J., 1996. "The Importance of Sample Attrition in Life Cycle Labor Supply," Discussion Paper 1996-46, Tilburg University, Center for Economic Research.
    19. Harold Alderman & John Hoddinott & Bill Kinsey, 2006. "Long term consequences of early childhood malnutrition," Oxford Economic Papers, Oxford University Press, vol. 58(3), pages 450-474, July.
    20. Walter Beckert, 2015. "Choice in the Presence of Experts," Birkbeck Working Papers in Economics and Finance 1503, Birkbeck, Department of Economics, Mathematics & Statistics.
    21. D'Addio, Anna Cristina & De Greef, Isabelle & Rosholm, Michael, 2002. "Assessing Unemployment Traps in Belgium Using Panel Data Sample Selection Models," IZA Discussion Papers 669, Institute of Labor Economics (IZA).

    More about this item

    JEL classification:

    • J - Labor and Demographic Economics

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wpa:wuwpla:0408007. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: EconWPA (email available below). General contact details of provider: https://econwpa.ub.uni-muenchen.de .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.