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How to Think About Time-Use Data: What Inferences Can We Make About Long- and Short-Run Time Use from Time Diaries?

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Listed:
  • Frazis, Harley

    (U.S. Bureau of Labor Statistics)

  • Stewart, Jay

    (U.S. Bureau of Labor Statistics)

Abstract

Time-use researchers are typically interested in the time use of individuals, but time use data are samples of person-days. Given day-to-day variation in how people spend their time, this distinction is analytically important. We examine the conditions necessary to make inferences about the time use of individuals from a sample of person-days. We also discuss whether and how surveys with multiple household members or multiple days are an improvement over single-diary surveys.

Suggested Citation

  • Frazis, Harley & Stewart, Jay, 2010. "How to Think About Time-Use Data: What Inferences Can We Make About Long- and Short-Run Time Use from Time Diaries?," IZA Discussion Papers 5306, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp5306
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    References listed on IDEAS

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    More about this item

    Keywords

    survey methods; estimation; time use;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • D13 - Microeconomics - - Household Behavior - - - Household Production and Intrahouse Allocation
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

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