Arbeitspapier
Identification of random resource shares in collective households without preference similarity restrictions
Resource shares, defined as the fraction of total household spending going to each person in a household, are important for assessing individual material well-being, inequality and poverty. They are difficult to identify because consumption is measured typically at the household level, and many goods are jointly consumed, so that individual-level consumption in multi-person households is not directly observed. We consider random resource shares, which vary across observationally identical households. We provide theorems that identify the distribution of random resource shares across households, including children's shares. We also provide a new method of identifying the level of fixed or random resource shares that does not require previously needed preference similarity restrictions or marriage market assumptions. Our results can be applied to data with or without price variation. We apply our results to households in Malawi, estimating the distributions of child and female poverty across households.
- Language
-
Englisch
- Bibliographic citation
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Series: Bank of Canada Staff Working Paper ; No. 2017-45
- Classification
-
Wirtschaft
Household Production and Intrahousehold Allocation
Consumer Economics: Theory
Consumer Economics: Empirical Analysis
Multiple or Simultaneous Equation Models: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
Measurement and Analysis of Poverty
- Subject
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Domestic demand and components
Econometric and statistical methods
- Event
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Geistige Schöpfung
- (who)
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Dunbar, Geoffrey R.
Lewbel, Arthur
Pendakur, Krishna
- Event
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Veröffentlichung
- (who)
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Bank of Canada
- (where)
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Ottawa
- (when)
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2017
- DOI
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doi:10.34989/swp-2017-45
- Handle
- Last update
-
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
- Dunbar, Geoffrey R.
- Lewbel, Arthur
- Pendakur, Krishna
- Bank of Canada
Time of origin
- 2017
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