Measurement error in stylised and diary data on time use
We investigate the nature of measurement error in time use data. Analysis of â€˜stylisedâ€™ recall questionnaire estimates and diary-based estimates of housework time from the same respondents gives evidence of systematic biases in the stylised estimates and large random errors in both types of data. We examine the effect of these measurement problems on three common types of statistical analyses in which the time use variable is used as: (i) a dependent variable, (ii) an explanatory variable, and (iii) a basis for cross-tabulations. We develop methods to correct the biases induced by these measurement errors.
|Date of creation:||22 Feb 2007|
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- Gershuny, Jonathan, 2000. "Changing Times: Work and Leisure in Postindustrial Society," OUP Catalogue, Oxford University Press, number 9780198287872, April.
- Iiris Niemi, 1993. "Systematic error in behavioural measurement: Comparing results from interview and time budget studies," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 30(2), pages 229-244, November.
- Jens Bonke, 2005. "Paid Work and Unpaid Work: Diary Information Versus Questionnaire Information," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 70(3), pages 349-368, 02.
- Kan, Â Man Yee, 2006. "Measuring housework participation: the gap between 'stylised' questionnaire estimates and diary-based estimates," ISER Working Paper Series 2006-11, Institute for Social and Economic Research.