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Estimating True Changes when Categorical Panel Data are Affected by Uncorrelated and Correlated Classification Errors

Author

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  • FRANCESCA BASSI

    (University of Padova)

  • JACQUES A. HAGENAARS

    (Tilburg University)

  • MARCEL A. CROON

    (Tilburg University)

  • JEROEN K. VERMUNT

    (Tilburg University)

Abstract

Conclusions about changes in categorical characteristics based on observed panel data can be incorrect when (even a small amount of) measurement error is present. Random measurement errors, referred to as independent classification errors, usually lead to over-estimation of the total amount of gross change, whereas systematic, correlated errors usually cause underestimation of the transitions. Furthermore, the patterns of true change may be seriously distorted by independent or systematic classification errors. Latent class models and directed log-linear analysis are excellent tools to correct for both independent and correlated measurement errors. An extensive example on labor market states taken from the Survey of Income and Program Participation panel is presented.

Suggested Citation

  • Francesca Bassi & Jacques A. Hagenaars & Marcel A. Croon & Jeroen K. Vermunt, 2000. "Estimating True Changes when Categorical Panel Data are Affected by Uncorrelated and Correlated Classification Errors," Sociological Methods & Research, , vol. 29(2), pages 230-268, November.
    • Handle: RePEc:sae:somere:v:29:y:2000:i:2:p:230-268
    DOI: 10.1177/0049124100029002003
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    References listed on IDEAS

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    1. Ab Mooijaart & Peter Heijden, 1992. "The EM algorithm for latent class analysis with equality constraints," Psychometrika, Springer;The Psychometric Society, vol. 57(2), pages 261-269, June.
    2. J. de Leeuw & P.G.M. van der Heijden & P. Verboon, 1990. "A latent time–budget model," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 44(1), pages 1-22, March.
    3. DeSarbo, W.S. & Wedel, M., 1993. "A Review of Recent Developments in Latent Class Regression Models," Papers 521, Groningen State, Institute of Economic Research-.
    4. J. Sutcliffe, 1965. "A probability model for errors of classification. I. General considerations," Psychometrika, Springer;The Psychometric Society, vol. 30(1), pages 73-96, March.
    5. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119, Decembrie.
    6. Abowd, John M & Zellner, Arnold, 1985. "Estimating Gross Labor-Force Flows," Journal of Business & Economic Statistics, American Statistical Association, vol. 3(3), pages 254-283, June.
    7. Poterba, James M & Summers, Lawrence H, 1986. "Reporting Errors and Labor Market Dynamics," Econometrica, Econometric Society, vol. 54(6), pages 1319-1338, November.
    8. J. Sutcliffe, 1965. "A probability model for errors of classification. II. Particular cases," Psychometrika, Springer;The Psychometric Society, vol. 30(2), pages 129-155, June.
    9. J. P. Hughes & P Guttorp & S. P. Charles, 1999. "A non‐homogeneous hidden Markov model for precipitation occurrence," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 48(1), pages 15-30.
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    1. Frethey-Bentham, Catherine, 2011. "Pseudo panels as an alternative study design," Australasian marketing journal, Elsevier, vol. 19(4), pages 281-292.

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