Results 131 to 140 of about 19,219 (292)
Abstract Research Summary We adopt a network‐based perspective to examine the effects of hiring strategies in terms of the diversity of hiring sources. Considering the transferability of general and firm‐specific skills, we propose that firms can reduce integration costs while gaining diversity benefits when they hire from a focused set of firms that ...
Sang Won Han, Shinjae Won
wiley +1 more source
Statistical Generalized Derivative Applied to the Profile Likelihood Estimation in a Mixture of Semiparametric Models. [PDF]
Hirose Y, Liu I.
europepmc +1 more source
Is Tinkering with Institutional Quality a Panacea for Firm Performance? Insights from a Semiparametric Approach to Modeling Firm Performance [PDF]
Sumon Kumar Bhaumik +3 more
openalex +1 more source
Econometrics at the Extreme: From Quantile Regression to QFAVAR1
ABSTRACT This paper surveys quantile modelling from its theoretical origins to current advances. We organize the literature and present core econometric formulations and estimation methods for: (i) cross‐sectional quantile regression; (ii) quantile time series models and their time series properties; (iii) quantile vector autoregressions for ...
Stéphane Goutte +4 more
wiley +1 more source
A semiparametric mixture regression model for longitudinal data [PDF]
Tapio Nummi +3 more
openalex +1 more source
Endogenous semiparametric binary choice models with heteroscedasticity [PDF]
In this paper we consider endogenous regressors in the binary choice model under a weak median exclusion restriction, but without further specification of the distribution of the unobserved random components.
Stefan Hoderlein
core
On Exponential‐Family INGARCH Models
ABSTRACT A range of integer‐valued generalised autoregressive conditional heteroscedastic (INGARCH) models have been proposed in the literature, including those based on conditional Poisson, negative binomial and Conway‐Maxwell‐Poisson distributions. This note considers a larger class of exponential‐family INGARCH models, showing that maximum empirical
Alan Huang +3 more
wiley +1 more source
An asymptotic theory for model selection inference in general semiparametric problems. [PDF]
Recently, Hjort and Claeskens (2003) developed an asymptotic theory for model selection, model averaging and post-model selection/averaging inference using likelihood methods in parametric models, along with associated confidence statements.
Claeskens, Gerda, Carroll, RJ
core
A remark on semiparametric models
Consider a semiparametric model (X,A,\({\mathcal P})\) with interesting Euclidean parameter \(\kappa\) : \({\mathcal P}\to R_ k\) to be estimated. Assume that \({\mathcal P}\) is a differentiable family of mutually absolutely continuous probability measures and the parameter \(\kappa\) is a functional on \({\mathcal P}\).
openaire +3 more sources
Semiparametric estimation of on-stie count data models [PDF]
This article proposes semiparametric estimation of on-site count data models based on a series expansion approach of Gurmu, Rilstone and Stern (1999, Journal of Econometrics 88, 123-150), which is flexible and adaptable for a form of overdispersion as ...
Katsuhito Nohara, Masaki Narukawa
core

