Results 151 to 160 of about 62,486 (313)
Least absolute deviation estimation of linear econometric models: A literature review
Econometricians generally take for granted that the error terms in the econometric models are generated by distributions having a finite variance. However, since the time of Pareto the existence of error distributions with infinite variance is known ...
Dasgupta, Madhuchhanda, Mishra, SK
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Spatial Chow-Lin Methods for Data Completion in Econometric Flow Models [PDF]
Flow data across regions can be modeled by spatial econometric models, see LeSage and Pace (2009). Recently, regional studies became interested in the aggregation and disaggregation of flow models, because trade data cannot be obtained at a disaggregated
Sellner, Richard, Polasek, Wolfgang
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British Educational Research Journal, EarlyView.Abstract This paper analyses differences in academic achievement associated with attendance at publicly funded private schools and public schools across 11 European countries. Using eight waves of PISA data (2000–2022), we apply OLS, IPW and IPWRA estimators to account for observed heterogeneity and mitigate selection bias.
Priya Maurya +2 more
wiley +1 more source
Restoring Trust: Rebuilding the Forest Carbon Credit System Through Scientific Rigor
Biological Diversity, EarlyView.ABSTRACT As pivotal nature‐based climate solutions (NbCS), forests are increasingly recognized for their climate mitigation potential. However, this potential is undermined by fundamental flaws in current carbon credit systems. Our analysis identifies four interconnected systemic challenges: (1) subjective additionality assessments arising from ...
Xiaoqian Chen, Shaokun Li
wiley +1 more source
Advances in causal discovery methods for ecological time series
Biological Reviews, EarlyView.ABSTRACT Recent advances in data collection technologies (e.g. automated sensor networks, satellite remote sensing, and high‐throughput sequencing) have greatly expanded the availability of ecological time series, enabling new opportunities for causal analyses in dynamic ecosystems.
Kenta Suzuki +6 more
wiley +1 more source
Estimation and model specification testing in nonparametric and semiparametric econometric models
This paper considers two classes of semiparametric nonlinear regression models, in which nonlinear components are introduced to reflect the nonlinear fluctuation in the mean.
King, Maxwell, Gao, Jiti
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Business Strategy and the Environment, EarlyView.ABSTRACT This study addresses a significant research gap in the literature by systematically reviewing and synthesizing the interplay between social dynamics, environmental changes, and organizational innovation. Although prior research has explored these dimensions in isolation, the integrative framework remains lacking.
Gagan Deep Sharma +4 more
wiley +1 more source
The relationship between air pollution and police officers' mental health: an empirical analysis based on spatial econometric models. [PDF]
Sci RepTeng X.
europepmc +1 more source
A BAYESIAN ALTERNATIVE TO GENERALIZED CROSS ENTROPY SOLUTIONS FOR UNDERDETERMINED ECONOMETRIC MODELS
This paper presents a Bayesian alternative to Generalized Maximum Entropy (GME) and Generalized Cross Entropy (GCE) methods for deriving solutions to econometric models represented by underdetermined systems of equations. For certain types of econometric
Heckelei, Thomas +2 more
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Business Strategy and the Environment, EarlyView.ABSTRACT Despite the growing interest in ESG performance, limited research explores the mediating role of government policy in the relationship between Fintech, green finance and ESG outcomes. We address this gap by examining how Fintech and green finance influence ESG performance through government policies.
Mandella Osei‐Assibey Bonsu +4 more
wiley +1 more source