Results 101 to 110 of about 143,775 (287)
, 2018 This paper proposes a desparsified GMM estimator for estimating high-dimensional regression models allowing for, but not requiring, many more endogenous regressors than observations. We provide finite sample upper bounds on the estimation error of our estimator and show how asymptotically uniformly valid inference can be conducted in the presence of ...
Caner, Mehmet, Kock, Anders Bredahl
openaire +2 more sources
Artificial Intelligence and Environmental, Social, and Governance: A Hybrid Bibliometric Approach
Business Strategy and the Environment, EarlyView.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
Multimarket contacts and bank profitability: do diversification and bank ownership matter?
Cogent Economics & Finance, 2020 This study investigates the impact of multimarket contacts on bank profitability in the Vietnamese banking system from 2006 to 2015 using the system GMM.
Tu Dq Le
doaj +1 more source
High-dimensional econometrics and regularized GMM
, 2018 104 pages, 4 ...
Belloni, Alexandre +4 more
openaire +3 more sources
Business Strategy and the Environment, EarlyView.ABSTRACT Drawing on comparative institutional theory, we study the nature and magnitude of the effects of national environmental policies on corporate green innovation in developed versus emerging markets. Using a sample of 1831 listed firms in 34 countries from 2002 to 2020, we find that national environmental policies increase corporate green ...
Ivan Miroshnychenko +2 more
wiley +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT This paper examines the association between environmental, social, and governance (ESG) ratings and firm performance, taking into account the role of firms' strategic investments in research and development (R&D) and advertising. Drawing on resource‐based view and signalling theory perspectives and employing the generalised method of moments ...
Syed Zulfiqar Ali Shah +2 more
wiley +1 more source
The Generalized Method of Moments in the Bayesian Framework and a Model of Moment Selection Criterion [PDF]
While the classical framework has a rich set of limited information procedures such as GMM and other related methods, the situation is not so in the Bayesian framework.
Jae-Young Kim
core
Turning Carbon Into Cash? Cross‐Country Evidence on the Profitability of Emission Reductions
Business Strategy and the Environment, EarlyView.ABSTRACT Does corporate CO2 abatement pay? We assembled an international panel of listed firms (2019–2023), linking Scope 1–2 emissions to institutional (G7, CCPI) and search‐based attention measures. The dataset consists of an unbalanced panel of 1724 multinational firms, together with a sub‐sample of 922 firms operating in G7 economies. Firm and time
Mauro Aliano +3 more
wiley +1 more source
On the Use of Fisher Vector Encoding for Voice Spoofing Detection
Proceedings, 2019 Recently, the vulnerability of automatic speaker recognition systems to spoofing attacks has received significant interest among researchers. A robust speaker recognition system demands not only high recognition accuracy but also robustness to spoofing ...
Jahangir Alam
doaj +1 more source
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