Arbeitspapier

Intertemporal collective household models: Identification in short panels with unobserved heterogeneity in resource shares

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.

Sprache
Englisch

Erschienen in
Series: cemmap working paper ; No. CWP26/20

Klassifikation
Wirtschaft
Semiparametric and Nonparametric Methods: General
Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models
Duration Analysis; Optimal Timing Strategies
Thema
panel data
fixed effects
incidental parameter
time-varyingtransformation function
collective household
full commitment
resource shares
gender inequality

Ereignis
Geistige Schöpfung
(wer)
Botosaru, Irene
Muris, Chris
Pendakur, Krishna
Ereignis
Veröffentlichung
(wer)
Centre for Microdata Methods and Practice (cemmap)
(wo)
London
(wann)
2020

DOI
doi:10.1920/wp.cem.2020.2620
Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Botosaru, Irene
  • Muris, Chris
  • Pendakur, Krishna
  • Centre for Microdata Methods and Practice (cemmap)

Entstanden

  • 2020

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