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Non-response and population representation in studies of adolescent time use

Author

Listed:
  • Casey B. Mulligan

    (The University of Chicago)

  • Barbara Schneider

    (The University of Chicago)

  • Rustin Wolfe

    (Department of Education, St. Mary’s University of Minnesota)

Abstract

Researchers have debated which methods are most valid and reliable for studying time use. One key instrument for measuring time use is the time diary, which has unique analytic properties that, if not adjusted for, can bias estimates. To assess sampling and non-response bias and potential under- or overreports of various activities, we use three different datasets to compare adolescents’ time use. Results of these comparisons are used to show how investigators can statistically adjust time use data to obtain more accurate estimates of time spent in various activities.

Suggested Citation

  • Casey B. Mulligan & Barbara Schneider & Rustin Wolfe, 2005. "Non-response and population representation in studies of adolescent time use," electronic International Journal of Time Use Research, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)) and The International Association for Time Use Research (IATUR), vol. 2(1), pages 33-53, October.
    • Handle: RePEc:leu:journl:2005:vol2:p33-53
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    References listed on IDEAS

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    Cited by:

    1. Barbara Schneider, 2009. "Method Differences in Measuring Working Families’ Time," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 93(1), pages 105-110, August.
    2. Deal, David, 2008. "Time for play – An exploratory analysis of the changing consumption contexts of digital games," MPRA Paper 11655, University Library of Munich, Germany.

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    More about this item

    Keywords

    Methodology for collecting; estimating; and organizing microeconomic data; correcting for sampling and non-response bias; comparing survey and ESM measures of time use;
    All these keywords.

    JEL classification:

    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

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