Abstract
This study compares work time data collected by the German Time Use Survey (GTUS) using the diary method with stylized work time estimates from the GTUS, the German Socio-Economic Panel, and the German Microcensus. Although on average the differences between the time-diary data and the interview data is not large, our results show that significant deviations exist between these two techniques for certain types of individuals, especially those with long working hours and flexible work schedules. We also show that stylized work time estimates have insufficient variation to reproduce a true picture of working hours.
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Notes
At least in comparison to income data.
Interestingly, the authors also show that the extent to which Swedish public policy encourages fathers to take a more active role in child rearing is strongly dependent on the choice of data source. They do conclude, however, that “the time diary data do enable us to find out something we cannot find out using ordinary survey data;” (Carlin and Flood 1997, p. 181).
The distribution of days is as follows: Monday (13.9%), Tuesday (14.2%), Wednesday (14.1%), Thursday (15.1%), Friday (12.6%), Saturday (14.2%), Sunday (15.7%).
To test the equality of grouped stylized estimates a 99% confidence level is chosen.
We also ran the regression models for men and women separately. A notable result is that the dummy variable for dependent children under 6 in model (2) is only significant in the female sample.
References
Bonke, J. (2005). Paid work and unpaid work: Diary information versus questionnaire information. Social Indicators Research, 70(3), 349–368.
Carlin, P. S., & Flood, L. (1997). Do children affect the labour supply of Swedish men? Time diary vs. survey data. Labour Economics, 4, 167–183.
Dex, S. (1991). The reliability of recall data: A literature review. ISER Working Paper from the ERSC Research Centre on Micro-social Change No. 1991–11.
Eurostat (2000). Guidelines on harmonised European time use surveys. Luxembourg: European Commission and Eurostat.
Frazis, H., & Stewart, J. (2004). What can time-use data tell us about hours of work? Monthly Labor Review, 127(12), 3–9.
Gershuny, J., Robinson, J. P., Fisher, K. & Martin, S. (2007). Workweek estimate—diary differences and regression to the mean. Unpublished manuscript.
Heckman, J. J. (1993). What has been learned about labor supply in the past twenty years? American Economic Review, 83(2), 116–121.
Jacobs, J. A. (1998). Measuring time at work: Are self-reports accurate? Monthly Labor Review, 121(12), 42–51.
Juster, F. T., Ono, H., & Stafford, F. P. (2003). An assessment of alternative measures of time use. Sociological Methodology, 33, 19–54.
Juster, F. T., & Stafford, F. P. (1991). The allocation of time: Empirical findings, behavioral models, and problems of measurement. Journal of Economic Literature, 19, 471–522.
Kan, M. Y. (2006). Measuring housework participation: The gap between ‘stylised’ questionnaire estimates and diary-based estimates. ISER Working Paper No. 2006–11 (pp. 1–30).
Kan, M. Y. & Pudney, S. (2007). Measurement error in stylised and diary data on time use. ISER Working Paper No. 2007–03 (pp. 1–29).
Kitterød, R. H., & Lyngstad, T. H. (2005). Diary versus questionnaire information on time spent on housework—the Case of Norway. Electronic International Journal of Time Use Research, 2(1), 13–32.
Klevmarken, A. N. (1999). Microeconomic analysis of time-use data: Did we reach the promised land?. In J. Merz & M. Ehling, Time-use research, data and policy. Baden-Baden: NOMOS Verlagsgesellschaft.
Klevmarken, A. N. (2005). Estimates of a labour supply function using alternative measures of hours of work. European Economic Review, 49, 55–73.
Marini, M. M., & Shelton, B. A. (1993). Measuring household work: Recent experience in the United States. Social Science Research, 22, 361–382.
Press, J. E., & Townsley, E. (1998). Wives’ and husbands’ housework reporting: Gender, class, and social desirability. Gender & Society, 12, 188–218.
Robinson, J. P. & Gershuny, J. (1994). Measuring hours of paid work: Time-diary vs. estimate questions. Bulletin of Labour Statistics, 11–17.
Schmid, S. (2000). Erwerbstätigkeit im Mikrozensus. Konzepte, Definition, Umsetzung, Mannheim: Zentrum für Umfragen, Methoden und Analysen, ZUMA-Arbeitsbericht 2000/01.
SOEP Group (2001). The German Socio-Economic Panel Study (GSOEP) after more than 15 years—overview. In E. Holst, D. R. Lillard & T. A. Di Pretre, 4th International Conference of Socio-Economic Panel Study Users (pp.134–144). Vierteljahreshefte zur Wirtschaftsforschung.
Zellner, A. (1962). An efficient method of estimating seemingly unrelated regressions and tests for aggregation bias. Journal of the American Statistical Association, 57(298), 348–368.
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Otterbach, S., Sousa-Poza, A. How Accurate are German Work-time Data? A Comparison of Time-diary Reports and Stylized Estimates. Soc Indic Res 97, 325–339 (2010). https://doi.org/10.1007/s11205-009-9504-z
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DOI: https://doi.org/10.1007/s11205-009-9504-z