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Cited by 396

The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.

What’s Mine is Yours? The Influence of Male and Female Incomes on Patterns of Household Expenditure

Phipps, Shelley A., Burton, Peter S.·1998·Economica

Abstract

This paper uses microdata from the 1992 Statistics Canada Family Expenditure Survey to provide evidence that male and female incomes do not always exert identical influences on household expenditures. The novelty of the paper lies in its demonstration that, while incomes may be pooled for some categories of consumption (e.g. housing), the income pooling hypothesis must be rejected for others. We also go beyond simply rejecting the pooling hypothesis to ask how male versus female income is used. Our results stress the on‐going importance of traditional gender roles. For example, we find that expenditures on child care increase only with women’s incomes_higher male income is not associated with higher expenditure on child care even when both spouses are full‐time, full‐year paid workers.

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Crossref · 10.1111/1468-0335.00148

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Metadata

Authors
Phipps, S. A., & Burton, P. S.
Venue
Economica
Publisher
Wiley
Published
1998-11
Volume
65
Issue
260
Pages
599-613
ISSN
  • 0013-0427 (ISSN-L)
  • 1468-0335
OpenAlex
W2161860146
Cited by
396
References
19
FWCI
11.53
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: What’s Mine is Yours? The Influence of Male and Female Incomes on Patterns of Household Expenditure. https://app.cochat.ai/papers/10.1111/1468-0335.00148
The paper
Phipps, S. A., & Burton, P. S. (1998). What’s Mine is Yours? The Influence of Male and Female Incomes on Patterns of Household Expenditure. Economica. https://doi.org/10.1111/1468-0335.00148

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.