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Testing for a general class of functional inequalities
Lee, Sokbae; Song, Kyungchul; Whang, Yoon-jae - 2014
In this paper, we propose a general method for testing inequality restrictions on nonparametric functions. Our framework includes many nonparametric testing problems in a uni ed framework, with a number of possible applications in auction models, game theoretic models, wage inequality, and...
Persistent link: https://www.econbiz.de/10010254852
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Quasi-maximum likelihood and the kernel block bootstrap for nonlinear dynamic models
Parente, Paulo M. D. C.; Smith, Richard J. - 2019 - This Draft: October 2019
This paper applies a novel bootstrap method, the kernel block bootstrap, to quasi-maximum likelihood estimation of dynamic models with stationary strong mixing data. The method first kernel weights the components comprising the quasi-log likelihood function in an appropriate way and then samples...
Persistent link: https://www.econbiz.de/10012115888
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Implied probability kernel block bootstrap for times series moment condition models
Parente, Paulo M. D. C.; Smith, Richard J. - 2024
This article generalizes and extends the kernel block bootstrap (KBB) method of Parente and Smith (2018, 2021) to provide a comprehensive treatment of its use for GMM estimation and inference in time-series models formulated in terms of moment conditions. KBB procedures that employ bootstrap...
Persistent link: https://www.econbiz.de/10014520806
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Likelihood inference and the role of initial conditions for the dynamic panel data model
Barbosa, Jose Diogo; Moreira, Marcelo J. - 2017 - This version: January 16, 2017
Lancaster (2002) proposes an estimator for the dynamic panel data model with homoskedastic errors and zero initial … very skewed with some mass at zero values. For example, panel data on firms naturally depend on the first period in which …
Persistent link: https://www.econbiz.de/10011586178
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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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Analysis of interactive fixed effects dynamic linear panel regression with measurement error
Lee, Nayoung; Moon, Hyungsik Roger; Weidner, Martin - 2011
This paper studies a simple dynamic panel linear regression model with interactive fixed effects in which the variable … (LS-MD) estimation method. -- dynamic panel ; interactive fixed effects ; measurement error ; LS-MD estimation …
Persistent link: https://www.econbiz.de/10009419307
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Individual and time effects in nonlinear panel models with large N, T
Fernández-Val, Iván; Weidner, Martin - 2014
Fixed effects estimators of nonlinear panel data models can be severely biased because of the well-known incidental … expansions to conditional maximum likelihood estimators with concave objective functions in parameters for panel models with …
Persistent link: https://www.econbiz.de/10010382120
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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 …; Section 2.6). We show that panel data allows the econometrician to (i) introduce dependence between the regressors and the … (NLSY79). Consistent with prior work (e.g., Chamberlain, 1982; Vella and Verbeek, 1998), we find that using panel data to …
Persistent link: https://www.econbiz.de/10011524832
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Individual and time effects in nonlinear panel models with large N, T
Fernández-Val, Iván; Weidner, Martin - 2015
Fixed effects estimators of nonlinear panel data models can be severely biased because of the incidental parameter … expansions to conditional maximum likelihood estimators with concave objective functions in parameters for panel models with …
Persistent link: https://www.econbiz.de/10010501255