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Informational Ambiguity and Survey Bias: Husbands’ and Wives’ Reports on Their Contribution to Their Families

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  • Hung-Lin Tao

Abstract

The present study uses panel data models to control unobserved characteristics and to investigate how the presence of spouses in interviews influences reports regarding housework and earnings contributions. Both husbands and wives relatively overreport their housework contributions but do not overreport their earnings contributions. The amount of time spent doing housework lacks a precise measure and involves more subjective estimates than earnings reports. It is argued that the ambiguity of the housework contribution mitigates the guilt felt by overreporting the housework contribution. In addition, without controlling for unobserved characteristics, OLS models overstate the influence of the presence of spouses in the interviews. Copyright Springer Science+Business Media B.V. 2013

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  • Hung-Lin Tao, 2013. "Informational Ambiguity and Survey Bias: Husbands’ and Wives’ Reports on Their Contribution to Their Families," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 111(3), pages 713-724, May.
    • Handle: RePEc:spr:soinre:v:111:y:2013:i:3:p:713-724
    DOI: 10.1007/s11205-012-0029-5
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    1. Hsee, Christopher K., 1996. "Elastic Justification: How Unjustifiable Factors Influence Judgments," Organizational Behavior and Human Decision Processes, Elsevier, vol. 66(1), pages 122-129, April.
    2. Schweitzer, Maurice E & Hsee, Christopher K, 2002. "Stretching the Truth: Elastic Justification and Motivated Communication of Uncertain Information," Journal of Risk and Uncertainty, Springer, vol. 25(2), pages 185-201, September.
    3. Hsee, Christopher K., 1995. "Elastic Justification: How Tempting but Task-Irrelevant Factors Influence Decisions," Organizational Behavior and Human Decision Processes, Elsevier, vol. 62(3), pages 330-337, June.
    4. Cameron,A. Colin & Trivedi,Pravin K., 2005. "Microeconometrics," Cambridge Books, Cambridge University Press, number 9780521848053, September.
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    1. Gundula Fischer & Nicolas Patt & Justus Ochieng & Henry Mvungi, 2020. "Participation in and Gains from Traditional Vegetable Value Chains: a Gendered Analysis of Perceptions of Labour, Income and Expenditure in Producers’ and Traders’ Households," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 32(4), pages 1080-1104, September.
    2. Matthijs Kalmijn, 2019. "The Effects of Ageing on Intergenerational Support Exchange: A New Look at the Hypothesis of Flow Reversal," European Journal of Population, Springer;European Association for Population Studies, vol. 35(2), pages 263-284, May.

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