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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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  • Harley Frazis
  • Jay Stewart

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

  • Harley Frazis & Jay Stewart, 2012. "How to Think about Time-Use Data: What Inferences Can We Make about Long- and Short-Run Time Use from Time Diaries?," Annals of Economics and Statistics, GENES, issue 105-106, pages 231-245.
  • Handle: RePEc:adr:anecst:y:2012:i:105-106:p:231-245
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    References listed on IDEAS

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    1. Charlene Kalenkoski & David Ribar & Leslie Stratton, 2007. "The effect of family structure on parents’ child care time in the United States and the United Kingdom," Review of Economics of the Household, Springer, vol. 5(4), pages 353-384, December.
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    3. Jay Stewart, 2010. "The Timing of Maternal Work and Time with Children," ILR Review, Cornell University, ILR School, vol. 64(1), pages 181-200, October.
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    Citations

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    Cited by:

    1. Juan Carlos, Campaña & J. Ignacio, Giménez-Nadal & Jose Alberto, Molina, 2017. "Differences between self-employed and employed mothers in balancing family and work responsibilities: Evidence from Latin American countries," MPRA Paper 77964, University Library of Munich, Germany.
    2. J. Gimenez-Nadal & Jose Molina, 2014. "Regional unemployment, gender, and time allocation of the unemployed," Review of Economics of the Household, Springer, vol. 12(1), pages 105-127, March.
    3. Clark, Andrew & Stancanelli, Elena, 2017. "Americans’ Responses to Terrorism and Mass-Shooting: Evidence from the American Time Use Survey and Well-Being Module," GLO Discussion Paper Series 26, Global Labor Organization (GLO).
    4. Sophie Ponthieux, 2015. "Introduction. Les enquêtes Emploi du temps : une source majeure pour l'étude des inégalités sociales et de genre," Économie et Statistique, Programme National Persée, vol. 478(1), pages 59-77.
    5. Jones, Benjamin A., 2016. "Work more and play less? Time use impacts of changing ecosystem services: The case of the invasive emerald ash borer," Ecological Economics, Elsevier, vol. 124(C), pages 49-58.
    6. Juan Carlos, Campaña & J. Ignacio, Giménez-Nadal & Jose Alberto, Molina, 2017. "Self-employment and educational childcare time: Evidence from Latin America," MPRA Paper 77360, University Library of Munich, Germany.
    7. Campaña, Juan Carlos & Gimenez-Nadal, J. Ignacio & Molina, Jose Alberto, 2016. "Diferencias entre auto-empleados y asalariados en los usos del tiempo: Aragón vs. Spain
      [Differences between self-employees and wage-earners in time uses: Aragon vs. Spain]
      ," MPRA Paper 71463, University Library of Munich, Germany.
    8. Hamrick, Karen S., 2012. "Nonresponse Bias Analysis of Body Mass Index Data in the Eating and Health Module," Technical Bulletins 131556, United States Department of Agriculture, Economic Research Service.

    More about this item

    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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