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Calibrating Stylised Time Estimates Using UK Diary Data

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  • Man Kan
  • Jonathan Gershuny

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  • Man Kan & Jonathan Gershuny, 2009. "Calibrating Stylised Time Estimates Using UK Diary Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 93(1), pages 239-243, August.
    • Handle: RePEc:spr:soinre:v:93:y:2009:i:1:p:239-243
    DOI: 10.1007/s11205-008-9365-x
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    References listed on IDEAS

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    1. Gershuny, Jonathan, 2000. "Changing Times: Work and Leisure in Postindustrial Society," OUP Catalogue, Oxford University Press, number 9780198287872.
    2. Pudney, Stephen & Yee Kan, Â Man, 2007. "Measurement error in stylised and diary data on time use," ISER Working Paper Series 2007-03, Institute for Social and Economic Research.
    3. Man Kan, 2008. "Measuring Housework Participation: The Gap between “Stylised” Questionnaire Estimates and Diary-based Estimates," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 86(3), pages 381-400, May.
    4. J. Jacobs, 2008. "Book Review," De Economist, Springer, vol. 156(2), pages 215-217, June.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Cristina Borra & Almudena Sevilla & Jonathan Gershuny, 2013. "Calibrating Time-Use Estimates for the British Household Panel Survey," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 114(3), pages 1211-1224, December.
    2. Pierre Walthery & Jonathan Gershuny, 2019. "Improving Stylised Working Time Estimates with Time Diary Data: A Multi Study Assessment for the UK," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(3), pages 1303-1321, August.
    3. Francesca Luppi & Letizia Mencarini, 2018. "Parents’ subjective well-being after their first child and declining fertility expectations," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 39(9), pages 285-314.

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