Results 41 to 50 of about 27,081 (245)
ABSTRACT Small enterprises (SEs) constitute a major component of economic systems, and their socio‐environmental commitment is critical for promoting societal well‐being. This paper examines the direct effect of sound financial practices on socio‐environmental commitment and evaluates the mediating role of financial constraints—specifically debt and ...
Marcos Álvarez‐Espiño +2 more
wiley +1 more source
Endogeneity in semiparametric binary response models [PDF]
This paper develops and implements semiparametric methods for estimating binary response (binary choice) models with continuous endogenous regressors. It extends existing results on semiparametric estimation in single index binary response models to the ...
Blundell, R., Powell, J.L.
core
Semiparametric Additive Regression
SUMMARY A simple estimator for β is proposed for the model y = x'β + g(t)+ error, g smooth but unknown. The approach is to approximate the estimating equation obtained from a ***semiparametric likelihood and in the simplest case reduces to minimizing the distance between the 'pseudoresiduals' y - x'β and a local linear cross-validated ...
openaire +2 more sources
We propose the use of wavelet-based semiparametric models for forecasting the value-at-risk (VaR) and expected shortfall (ES) in the crude oil market. We compared the forecast outcomes across different time scales for three semiparametric models, three ...
Lu Yang, Shigeyuki Hamori
doaj +1 more source
ABSTRACT This study investigates the structural and distributional factors that influence environmental performance in 27 European Union (EU) countries from 2010 to 2021, focusing especially on circular economy (CE) measures and the increasing use of artificial intelligence (AI)‐based analytical tools.
Cosimo Magazzino +3 more
wiley +1 more source
Geostatistical interpolation methods, sometimes referred to as kriging, have been proven effective and efficient for the estimation of target quantity at ungauged sites.
Sompop Moonchai, Nawinda Chutsagulprom
doaj +1 more source
Dynamic survival risk prediction with time‐varying high‐dimensional images
Abstract Integrating longitudinal data with survival models is a prevalent strategy for dynamic survival risk prediction while accounting for subjects' longitudinally observed variables. However, existing methods primarily focus on scalar longitudinal data and seldom tackle the complexities associated with high‐dimensional longitudinal imaging data ...
Bingfan Liu +7 more
wiley +1 more source
Copula‐based joint modelling of emergency department visits with time‐varying dependence
Abstract Jointly modelling multiple correlated count time series is essential in health services research, where outcomes like emergency visits for mental health and substance use often evolve together. Ignoring these dependencies can obscure meaningful trends and limit the effectiveness of policy evaluation.
Guanjie Lyu, Cindy Feng, Lihui Liu
wiley +1 more source
Nonparametric Econometrics: The np Package
We describe the R np package via a series of applications that may be of interest to applied econometricians. The np package implements a variety of nonparametric and semiparametric kernel-based estimators that are popular among econometricians.
Tristen Hayfield, Jeffrey S. Racine
doaj
Abstract This article presents a strategy for conducting regression analysis of zero‐truncated recurrent event data. The research is partly motivated by a pediatric mental health care (PMHC) program based on administrative data. We are particularly interested in how the occurrence of an event depends on its past occurrences and the associated ...
Anqi A. Chen +3 more
wiley +1 more source

