Arbeitspapier
Causal misperceptions of the part-time pay gap
This paper studies if workers infer from correlation about causal effects in the context of the part-time wage penalty. Differences in hourly pay between full-time and part-time workers are strongly driven by worker selection and systematic sorting. Ignoring these selection effects can lead to biased expectations about the consequences of working part-time on wages ('selection neglect bias'). Based on representative survey data from Germany, I document substantial misperceptions of the part-time wage gap. Workers strongly overestimate how much part-time workers in their occupation earn per hour, whereas they are approximately informed of mean full-time wage rates. Consistent with selection neglect, those who perceive large hourly pay differences between full-time and part-time workers also predict large changes in hourly wages when a given worker switches between full-time and part-time employment. Causal analyses using a survey experiment reveal that providing information about the raw part-time pay gap increases expectations about the full-time wage premium by factor 1.7, suggesting that individuals draw causal conclusions from observed correlations. De-biasing respondents by informing them about the influence of worker characteristics on observed pay gaps mitigates selection neglect. Subjective beliefs about the part-time/full-time wage gap are predictive of planned and actual transitions between full-time and part-time employment, necessitating the prevention of causal misperceptions.
- Language
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Englisch
- Bibliographic citation
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Series: DIW Discussion Papers ; No. 2031
- Classification
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Wirtschaft
Wage Level and Structure; Wage Differentials
Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
Expectations; Speculations
- Subject
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part-time pay gap
wage expectations
selection neglect
causal misperceptions
- Event
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Geistige Schöpfung
- (who)
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Schrenker, Annekatrin
- Event
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Veröffentlichung
- (who)
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Deutsches Institut für Wirtschaftsforschung (DIW)
- (where)
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Berlin
- (when)
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2023
- Handle
- Last update
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10.03.2025, 11:44 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Schrenker, Annekatrin
- Deutsches Institut für Wirtschaftsforschung (DIW)
Time of origin
- 2023