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How Accurate are German Work-time Data? A Comparison of Time-diary Reports and Stylized Estimates

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  • Steffen Otterbach
  • Alfonso Sousa-Poza

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  • Steffen Otterbach & Alfonso Sousa-Poza, 2010. "How Accurate are German Work-time Data? A Comparison of Time-diary Reports and Stylized Estimates," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 97(3), pages 325-339, July.
    • Handle: RePEc:spr:soinre:v:97:y:2010:i:3:p:325-339
    DOI: 10.1007/s11205-009-9504-z
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    References listed on IDEAS

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    1. Klevmarken, Anders, 1998. "Microeconomic Analysis of Time-use Data. Did we reach the promised land?," Working Paper Series 1998:12, Uppsala University, Department of Economics.
    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. 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, February.
    4. Carlin, Paul S. & Flood, Lennart, 1997. "Do children affect the labor supply of Swedish men? Time diary vs. survey data," Labour Economics, Elsevier, vol. 4(2), pages 167-183, June.
    5. Klevmarken, N. Anders, 2005. "Estimates of a labour supply function using alternative measures of hours of work," European Economic Review, Elsevier, vol. 49(1), pages 55-73, January.
    6. Yee Kan, Â Man, 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.
    7. SOEP Group, 2001. "The German Socio-Economic Panel (GSOEP) after More than 15 Years: Overview," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 70(1), pages 7-14.
    8. J. Jacobs, 2008. "Book Review," De Economist, Springer, vol. 156(2), pages 215-217, June.
    9. Juster, F Thomas & Stafford, Frank P, 1991. "The Allocation of Time: Empirical Findings, Behavioral Models, and Problems of Measurement," Journal of Economic Literature, American Economic Association, vol. 29(2), pages 471-522, June.
    10. Heckman, James J, 1993. "What Has Been Learned about Labor Supply in the Past Twenty Years?," American Economic Review, American Economic Association, vol. 83(2), pages 116-121, May.
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    Cited by:

    1. Michael C. Knaus & Steffen Otterbach, 2019. "Work Hour Mismatch And Job Mobility: Adjustment Channels And Resolution Rates," Economic Inquiry, Western Economic Association International, vol. 57(1), pages 227-242, January.
    2. Kalaj, Jozefina & Rogger, Daniel & Somani, Ravi, 2022. "Bureaucrat time-use: Evidence from a survey experiment," World Development, Elsevier, vol. 152(C).
    3. Messinis, George, 2013. "Returns to education and urban-migrant wage differentials in China: IV quantile treatment effects," China Economic Review, Elsevier, vol. 26(C), pages 39-55.
    4. Alameddine, Mohamad & Otterbach, Steffen & Rafii, Bayan & Sousa-Poza, Alfonso, 2018. "Work hour constraints in the German nursing workforce: A quarter of a century in review," Health Policy, Elsevier, vol. 122(10), pages 1101-1108.
    5. Bettina Sonnenberg & Michaela Riediger & Cornelia Wrzus & Gert G. Wagner, 2011. "Measuring Time Use in Surveys: How Valid Are Time Use Questions in Surveys? Concordance of Survey and Experience Sampling Measures," SOEPpapers on Multidisciplinary Panel Data Research 390, DIW Berlin, The German Socio-Economic Panel (SOEP).
    6. Byung-hill Jun & Hosin Song, 2019. "Tests for Detecting Probability Mass Points," Korean Economic Review, Korean Economic Association, vol. 35, pages 205-248.
    7. Groß, Marcus & Rendtel, Ulrich, 2015. "Kernel density estimation for heaped data," Discussion Papers 2015/27, Free University Berlin, School of Business & Economics.

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    Keywords

    Time use; Work time; Germany;
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