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Intertemporal Collective Household Models: Identification in Short Panels with Unobserved Heterogeneity in Resource Shares

Author

Listed:
  • Irene Botosaru

    (Institute for Fiscal Studies)

  • Chris Muris

    (Institute for Fiscal Studies and Simon Fraser University)

  • Krishna Pendakur

    (Institute for Fiscal Studies and Simon Fraser University)

Abstract
We provide a new full-commitment intertemporal collective household model to estimate resource shares, defined as the fraction of household expenditure enjoyed by household members. Our model implies nonlinear time-varying household quantity demand functions that depend on fixed effects. We provide new econometric results showing identification of a large class of models that includes our household model. We cover fixed-T panel models where the response variable is an unknown monotonic function of a linear latent variable with fixed effects, regressors, and a nonparametric error term. The function may be weakly monotonic and time-varying, and the fixed effects are unrestricted. We identify the structural parameters and features of the distribution of fixed effects. In our household model, these correspond to features of the distribution of resource shares. Using Bangladeshi data, we show: women’s resource shares decline with household budgets; and, half the variation in women’s resource shares is due to unobserved heterogeneity.

Suggested Citation

  • Irene Botosaru & Chris Muris & Krishna Pendakur, 2020. "Intertemporal Collective Household Models: Identification in Short Panels with Unobserved Heterogeneity in Resource Shares," CeMMAP working papers CWP26/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    • Handle: RePEc:ifs:cemmap:26/20
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    Cited by:

    1. Olivier Bargain & Guy Lacroix & Luca Tiberti, 2021. "Intrahousehold Resource Allocation and Individual Poverty: Assessing Collective Model Predictions against Direct Evidence on Sharing," Bordeaux Economics Working Papers 2021-11, Bordeaux School of Economics (BSE).
    2. Calvi, Rossella & Penglase, Jacob & Tommasi, Denni & Wolf, Alexander, 2023. "The more the poorer? Resource sharing and scale economies in large families," Journal of Development Economics, Elsevier, vol. 160(C).
    3. Calvi, Rossella & Keskar, Ajinkya, 2021. "Dowries, resource allocation, and poverty," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 268-303.
    4. Olivier Bargain, 2022. "Income Sources, Intra-Household Allocation And Individual Poverty," Commitment to Equity (CEQ) Working Paper Series 121, Tulane University, Department of Economics.

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    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies

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