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On bunching and identification of the taxable income elasticity
Blomquist, Nils Sören; Newey, Whitney K.; Kumar, Anil; … - 2019
The taxable income elasticity is a key parameter for predicting the e?ect of tax reform or designing an income tax …. Bunching at kinks and notches in a single budget set have been used to estimate the taxable income elasticity. We show that … the size of the taxable income elasticity, and neither is the entire distribution of taxable income for a convex budget …
Persistent link: https://www.econbiz.de/10012111429
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Estimation of random coefficients logit demand models with interactive fixed effects
Moon, Hyungsik Roger; Shum, Matthew; Weidner, Martin - 2012
We extend the Berry, Levinsohn and Pakes (BLP, 1995) random coefficients discretechoice demand model, which underlies much recent empirical work in IO. We add interactive fixed effects in the form of a factor structure on the unobserved product characteristics. The interactive fixed effects can...
Persistent link: https://www.econbiz.de/10009521645
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Earnings and consumption dynamics : a nonlinear panel data framework
Arellano, Manuel; Blundell, Richard W.; Bonhomme, Stéphane - 2015
We develop a new quantile-based panel data framework to study the nature of income persistence and the transmission of income shocks to consumption. Log-earnings are the sum of a general Markovian persistent component and a transitory innovation. The persistence of past shocks to earnings is...
Persistent link: https://www.econbiz.de/10011326266
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Estimation of random coefficients logit demand models with interactive fixed effects
Moon, Hyungsik Roger; Shum, Matthew; Weidner, Martin - 2014 - This draft: April 22, 2014
We extend the Berry, Levinsohn and Pakes (BLP, 1995) random coefficients discrete choice demand model, which underlies much recent empirical work in IO. We add interactive fixed effects in the form of a factor structure on the unobserved product characteristics. The interactive fixed effects can...
Persistent link: https://www.econbiz.de/10010345243
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A quantile correlated random coefficients panel data model
Graham, Bryan S.; Hahn, Jinyong; Poirier, Alexandre; … - 2016
We propose a generalization of the linear quantile regression model to accommodate possibilities afforded by panel data. Specifically, we extend the correlated random coefficients representation of linear quantile regression (e.g., Koenker, 2005; Section 2.6). We show that panel data allows the...
Persistent link: https://www.econbiz.de/10011524832
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Nonlinear panel data methods for dynamic heterogeneous agent models
Arellanoy, Manuel; Bonhommez, Stéphane - 2016
Recent developments in nonlinear panel data analysis allow identifying and estimating general dynamic systems. In this review we describe some results and techniques for nonparametric identification and flexible estimation in the presence of time-invariant and time-varying latent variables. This...
Persistent link: https://www.econbiz.de/10011553118
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Quantile regression with panel data
Graham, Bryan S.; Hahn, Jinyong; Poirier, Alexandre; … - 2015
We propose a generalization of the linear quantile regression model to accommodate possibilities afforded by panel data. Specifically, we extend the correlated random coefficients representation of linear quantile regression (e.g., Koenker, 2005; Section 2.6). We show that panel data allows the...
Persistent link: https://www.econbiz.de/10010494997
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Binarization for panel models with fixed effects
Botosaru, Irene; Muris, Chris - 2017
In nonlinear panel models with fixed effects and fixed-T, the incidental parameter problem poses identification difficulties for structural parameters and partial effects. Existing solutions are model-specific, likelihood-based, impose time homogeneity, or restrict the distribution of unobserved...
Persistent link: https://www.econbiz.de/10011662786
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Intertemporal collective household models : identification in short panels with unobserved heterogeneity in resource shares
Botosaru, Irene; Muris, Chris; Pendakur, Krishna - 2020
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...
Persistent link: https://www.econbiz.de/10012228740
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Estimation of random coefficients logit demand models with interactive fixed effects
Moon, Hyungsik Roger; Shum, Matthew; Weidner, Martin - 2017 - This version: February 15, 2017
We extend the Berry, Levinsohn and Pakes (BLP, 1995) random coeffcients discrete-choice demand model, which underlies much recent empirical work in IO. We add interactive fixed effects in the form of a factor structure on the unobserved product characteristics. The interactive fixed effects can...
Persistent link: https://www.econbiz.de/10011603891