Results 121 to 130 of about 148,439 (334)
ExpEnd, A Gauss programme for non-linear GMM estimation of exponential models with endogenous regressors for cross section and panel data [PDF]
ExpEnd is a Gauss programme for non-linear generalised method of moments (GMM) estimation of exponential models with endogenous regressors for cross section and panel data.
Frank Windmeijer
core
ABSTRACT Regulators in the banking industry in the Sub‐Saharan Africa (SSA) region are progressively concentrating on corporate innovation and bank social, health and environmental disclosures (BSHED) as crucial corporate governance (CG) structures to improve bank financial performance (BFP).
Douglas A. Adu +3 more
wiley +1 more source
GMM for Panel Count Data Models [PDF]
This paper gives an account of the recent literature on estimating models for panel count data. Specifically, the treatment of unobserved individual heterogeneity that is correlated with the explanatory variables and the presence of explanatory variables that are not strictly exogenous are central.
openaire +5 more sources
The Mediating Role of Climate Targets in Corporate Emission Reductions
ABSTRACT Corporations worldwide increasingly commit to Sustainable Development Goal 13 (SDG 13), yet the extent to which such commitments translate into measurable greenhouse gas (GHG) reductions remains uncertain. Drawing on Institutional and Legitimacy Theory, this paper examines the mediating role of climate targets in the relationship between SDG ...
Evgenia Anagnostopoulou
wiley +1 more source
Too Old to Bother: CEO Age and Corporate Stakeholder Engagement
ABSTRACT We examine how CEO age, a key demographic attribute, affects corporate stakeholder engagement. Drawing on Upper Echelons Theory, we argue that older CEOs are less responsive to stakeholder concerns because of heightened conservatism, shorter time horizons, and greater risk aversion.
Mehwish Yousaf, Pascal Nguyen
wiley +1 more source
Small Sample Bias Propreties of the System GMM Estimator in Dynamic Panel Data Models [PDF]
This paper examines analytically and experimentally why the system GMM estimator in dynamic panel data models is less biased than the first differencing or the level estimators even though the former uses more instruments.
Kazuhiko Hayakawa
core
Artificial Intelligence and Environmental, Social, and Governance: A Hybrid Bibliometric Approach
ABSTRACT This study provides a comprehensive overview of research on artificial intelligence (AI) and Environmental, Social, and Governance (ESG) by creating a knowledge map of the field. Using a systematic–bibliometric approach, we quantitatively analyzed a total of 129 documents, which collectively were cited 4276 times (2017–2024).
Qiang (John) Wu +3 more
wiley +1 more source
EV charging load forecasting using an enhanced Monte Carlo simulation methods
To address the limitations of conventional Monte Carlo simulation methods in electric vehicle (EV) charging load forecasting—particularly their large probability distribution fitting errors and strong data randomness—this paper proposes an enhanced ...
LIU Ruilin, YU Yang, LIU Jun, LI Wei
doaj +1 more source
Tác động phi tuyến của tín dụng ngân hàng đến tăng trưởng kinh tế tại các quốc gia đang phát triển
Bài viết đánh giá tác động phi tuyến của tín dụng ngân hàng đến tăng trưởng kinh tế tại các quốc gia đang phát triển. Dữ liệu nghiên cứu được thu thập trong giai đoạn 2000-2019 của 79 quốc gia được phân tích bằng phương pháp moment tổng quát hệ thống cho
Lê Hồng Ngọc, Hồ Thị Lam
doaj

