Results 151 to 160 of about 63,666 (315)

GMM Estimation of Autoregressive Roots Near Unity with Panel Data [PDF]

open access: yes
This paper investigates a generalized method of moments (GMM) approach to the estimation of autoregressive roots near unity with panel data. The two moment conditions studied are obtained by constructing bias corrections to the score functions under OLS ...
Hyungsik Roger Moon
core  

Noise Classification Based on GMM and AANN

open access: yes, 2011
In this paper, Gaussian Mixture model (GMM) as specific method is applied to noise classification. On this basis, a modified Gaussian Mixture Model with an embedded Auto-Associate Neural Network (AANN) is proposed.
Cun Bao Chen, Yan Zhang, Li Zhao
core   +1 more source

Board Gender Diversity and Eco‐Innovation: The Moderating Role of Organisational Environmental Orientation

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Corporate sustainability has become a strategic priority in response to growing regulatory, social and environmental pressures, placing greater emphasis on governance structures, such as board composition, that shape the incorporation of ethical and sustainable values into corporate decision‐making.
Isabel‐María García‐Sánchez   +3 more
wiley   +1 more source

Equidispersion and moment conditions for count panel data model [PDF]

open access: yes
This paper proposes some new moment conditions under the assumption of the equidispersion in count panel data model. These are obtained by using the association between variances and covariances in the disturbance. Some Monte Carlo experiments configured
Yoshitsugu Kitazawa
core  

Critical Materials Import and Environmental Preferences: Evidence From G20 and N11 Economies

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Critical materials such as lithium and cobalt are indispensable for achieving the United Nations' Sustainable Development Goals (SDGs), particularly SDG 7 (Affordable and Clean Energy) and SDG 13 (Climate Action). While these materials enable the deployment of low‐carbon technologies, including electric vehicle batteries and renewable energy ...
Asif Saeed   +2 more
wiley   +1 more source

Finite Sample Properties of One-step, Two-step and Bootstrap Empirical Likelihood Approaches to Efficient GMM Estimation [PDF]

open access: yes
This paper compares conventional GMM estimators to empirical likelihood based GMM estimators which employ a semiparametric efficient estimate of the unknown distribution function of the data.
Joachim Inkmann
core  

Does Climate Risk Affect Employment Decisions? International Evidence

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This study investigates the effect of climate risk on corporate employment decisions. Using a large sample from 41 countries, we find a positive association between climate risk and underinvestment in labor, notably manifesting as excessive employee layoffs.
Claude Francoeur   +3 more
wiley   +1 more source

GMM Estimation of Income Distributions from Grouped Data [PDF]

open access: yes
We develop a GMM procedure for estimating income distributions from grouped data with unknown group bounds. The approach enables us to obtain standard errors for the estimated parameters and functions of the parameters, such as inequality and poverty ...
D.S. Prasada Rao   +4 more
core  

Emission Reduction Targets Between Strategy and Executive Compensation: Evidence on Symbolic and Substantive Adoption From German Listed Firms

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Firms increasingly commit to climate targets yet doubts remain about whether such pledges translate into substantive corporate governance or remain symbolic. The study examines how emission reduction targets (ERTs) in sustainability strategies are reflected in compensation among German listed firms.
Victoria Fohrer, Anna‐Sofia Grabowski
wiley   +1 more source

Identification of the Covariance Structure of Earnings Using the GMM Estimator [PDF]

open access: yes
In this paper we study the performance of the GMM estimator in the context of the covariance structure of earnings. Using analytical and Monte Carlo techniques we examine the sensitivity of parameter identification to key features such as panel length ...
Doris, Aedin   +2 more
core  

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