Irene Botosaru, Chris Muris, Krishna Pendakur
arXiv 12 Aug 2020 · Econometrics · publishedJournal of Econometrics (2021) · 27 citations (OpenAlex)
arXiv:2008.05507 · PDF · DOI · OpenAlex · Extracted main text
We provide new results showing identification of a large class of fixed-T panel models, where the response variable is an unknown, weakly monotone, time-varying transformation of a latent linear index of fixed effects, regressors, and an error term drawn from an unknown stationary distribution. Our results identify the transformation, the coefficient on regressors, and features of the distribution of the fixed effects. We then develop a full-commitment intertemporal collective household model, where the implied quantity demand equations are time-varying functions of a linear index. The fixed effects in this index equal logged resource shares, defined as the fractions of household expenditure enjoyed by each household member. Using Bangladeshi data, we show that women's resource shares decline with household budgets and that half of the variation in women's resource shares is due to unobserved household-level heterogeneity.
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The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.
| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | Dunbar, G. R., Lewbel, A., and Pendakur, K (2013) Children's resources in collective households: identification, estimation, and an application to child poverty in Malawi self | 1.000 | 15 | 4 | 100% |
| 2 | Chiappori, P.-A. and Mazzoco, M (2017) Static and intertemporal household decisions | 1.000 | 12 | 3 | 100% |
| 3 | Browning, M., Chiappori, P. A., and Lewbel, A (2013) Estimating consumption economies of scale, adult equivalence scales, and household bargaining power | 1.000 | 9 | 3 | 100% |
| 4 | Manski, C. F (1987) Semiparametric analysis of random effects linear models from binary panel data | 1.000 | 9 | 3 | 100% |
| 5 | Chernozhukov, V., Fernández-Val, I., and Weidner, M (2020) Network and panel quantile effects via distribution regression | 0.928 | 4 | 3 | 100% |
| 6 | Chamberlain, G (2010) Binary response models for panel data: Identification and information | 0.874 | 5 | 2 | 100% |
| 7 | Dunbar, G. R., Lewbel, A., and Pendakur, K (2019) Identification of random resource shares in collective households without preference similarity restrictions self | 0.874 | 5 | 2 | 100% |
| 8 | Chen, S (2010) An integrated maximum score estimator for a generalized censored quantile regression model | 0.843 | 3 | 3 | 100% |
| 9 | Muris, C (2017) Estimation in the fixed effects ordered logit model self | 0.843 | 3 | 3 | 100% |
| 10 | Abrevaya, J (1999) Leapfrog estimation of a fixed-effects model with unknown transformation of the dependent variable | 0.811 | 4 | 2 | 100% |
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