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Calibrating Time-Use Estimates for the British Household Panel Survey

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  • Cristina Borra
  • Almudena Sevilla
  • Jonathan Gershuny

Abstract

This paper proposes an innovative statistical matching method to combine the advantages of large national surveys and time diary data. We use data from two UK datasets that share stylised time-use information, crucial for the matching process. In particular, time-diary information of an individual from the Home On-line Study, our donor data set, is imputed to a similar individual from the British Household Panel Survey, our recipient dataset. Propensity score methods are used in conjunction with Mahalanobis matching to increase matching quality. Copyright Springer Science+Business Media Dordrecht 2013

Suggested Citation

  • 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.
    • Handle: RePEc:spr:soinre:v:114:y:2013:i:3:p:1211-1224
    DOI: 10.1007/s11205-012-0198-2
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    3. Cristina Borra & Francisco Gómez-García, 2016. "Wellbeing at Work and the Great Recession: The Effect of Others’ Unemployment," Journal of Happiness Studies, Springer, vol. 17(5), pages 1939-1962, October.
    4. J. Ignacio Gimenez-Nadal & José Alberto Molina, 2016. "Commuting Time And Household Responsibilities: Evidence Using Propensity Score Matching," Journal of Regional Science, Wiley Blackwell, vol. 56(2), pages 332-359, March.
    5. 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.

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