Results 81 to 90 of about 30,695 (301)
Market selection and learning under model misspecification
, 2023 This paper studies market selection in an Arrow-Debreu economy with complete markets where agents learn over misspecified models. Under model misspecification, standard Bayesian learning loses its formal justification and biased learning processes may ...
Bottazzi, Giulio +2 more
core
When Does SDG Adoption Increase ESG Risk? The Mediating Role of Risk Management
Business Strategy and the Environment, EarlyView.ABSTRACT Corporate engagement with the United Nations' Sustainable Development Goals (SDGs) has expanded rapidly, yet its implications for firms' environmental, social and governance (ESG) risk remain insufficiently understood. Prior research has focused on the performance outcomes of SDG adoption while largely overlooking its potential to generate ESG
Francisco J. López‐Arceiz +1 more
wiley +1 more source
Shaking the trees: Abilities and Capabilities of Regression and Decision Trees for Political Science
ITM Web of Conferences, 2017 When committing to quantitative political science, a researcher has a wealth of methods to choose from. In this paper we compare the established method of analyzing roll call data using W-NOMINATE scores to a data-driven supervised machine learning ...
Waldhauser Christoph, Hochreiter Ronald
doaj +1 more source
Parameter misspecification and robust monetary policy rules [PDF]
In this paper, I evaluate the performance deterioration that occurs when the central bank employs an optimal targeting rule that is based on incorrect parameter values.
Walsh, Carl E.
core
Business Strategy and the Environment, EarlyView.ABSTRACT Amid growing environmental pressures and sustainability challenges, understanding how institutional reforms enhance firms' ability to cope with green‐related disruptions is of substantial importance. Exploiting China's Supply Chain Innovation and Application Pilot Cities as a quasi‐natural experiment, this study investigates the impact of ...
Jiaxin Wang, Jiacheng Liu
wiley +1 more source
BMC Medical Research MethodologyBackground Causal mediation analysis is widespread in applied medical research, especially in longitudinal settings. However, estimating natural mediational effects in such contexts is often difficult because of the presence of post-treatment confounding.
Chiara Di Maria, Vanessa Didelez
doaj +1 more source
Genetic model misspecification in genetic association studies
BMC Research Notes, 2017 Objective The underlying model of the genetic determinant of a trait is generally not known with certainty a priori. Hence, in genetic association studies, a dominant model might be erroneously modelled as additive, an error investigated previously.
Amadou Gaye, Sharon K. Davis
doaj +1 more source
Complexity and Misspecification
We propose a tractable model of repeated decision problems that combines concern about model misspecification, as in robust control, with a complexity cost, such as Shannon entropy, that makes pessimistic beliefs trade off statistical plausibility against simplicity. In a static setting, stronger complexity aversion selects more concentrated worst-case
Fudenberg, Drew, Mudekereza, Florian
openaire +2 more sources
Business Strategy and the Environment, EarlyView.ABSTRACT Digital investment in smart waste management does not automatically translate into environmental performance (EP) gains, and this technology–performance gap is acute in the textile and apparel (T&A) industry, the world's second most polluting sector. Drawing on the resource‐based view, institutional theory, the technology acceptance model, the
Md. Golam Sarower Rayhan +3 more
wiley +1 more source
MathematicsPoisson mixed-effects models are essential for analyzing repeated count data, relying on latent random effects to account for unobserved heterogeneity and longitudinal dependence.
Jairo A. Ángel, Jorge I. Vélez
doaj +1 more source