Results 71 to 80 of about 13,855,951 (296)
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
Target Firm's ESG Engagement and Post–M&A Performance: The Mediating Role of Acquirer's CSR Strategy
Business Strategy and the Environment, EarlyView.ABSTRACT The paper examines whether the environmental, social and governance (ESG) performance of target firms influences both accounting‐based and market‐based corporate financial performance (CFP) within the merger and acquisition (M&A) context and whether this relationship is mediated by the acquirer's corporate social responsibility (CSR) strategy.
Francesco Gangi +4 more
wiley +1 more source
Journal of Statistical Software, 2018 Predictor effect displays, introduced in this article, visualize the response surface of complex regression models by averaging and conditioning, producing a sequence of 2D line graphs, one graph or set of graphs for each predictor in the regression ...
John Fox, Sanford Weisberg
doaj +1 more source
Confronting Model Misspecification in Macroeconomics [PDF]
We estimate a Markov-switching mixture of two familiar macroeconomic models: a richly parameterized DSGE model and a corresponding BVAR model. We show that the Markov-switching mixture model dominates both individual models and improves the fit ...
Tao Zha, Daniel F. Waggoner
core
Strategic Shift: The Power of Green Strategy on Sustainability Performance
Business Strategy and the Environment, EarlyView.ABSTRACT Employing FTSE Russell's unique Green Revenues data on S&P 1500 firms from 2016 to 2024, this study examines the long‐term effects of a corporate strategic shift toward green strategy, proxied by green revenue reporting, on corporate sustainability performance.
Post Raj Pokharel
wiley +1 more source
Prediction and Variable Selection in High-Dimensional Misspecified Binary Classification
Entropy, 2020 In this paper, we consider prediction and variable selection in the misspecified binary classification models under the high-dimensional scenario. We focus on two approaches to classification, which are computationally efficient, but lead to model ...
Konrad Furmańczyk, Wojciech Rejchel
doaj +1 more source
Monetary Policy Misspecification in VAR Models [PDF]
, 2000 We examine the effects of extracting monetary policy disturbances with semi-structural and structural VARs, using data generated by a limited participation model under partial accommodative and feedback rules. We find that, in general, misspecification is substantial: short run coefficients often have wrong signs; impulse responses and variance ...
Fabio Canova, Joaquim Pires Pina
openaire +3 more sources
Inflation persistence, structural breaks and omitted variables: a critical view [PDF]
Recent empirical contributions assess time changes in inflation persistence by means of simple autoregressive models. Their reliability is discussed in the light of the econometric literature on model misspecification and it is showed that their results ...
Andrea Vaona
core
Business Strategy and the Environment, EarlyView.ABSTRACT This study examines how digital strategic orientation (DSO) and environmental practices (EP) interact to shape innovation and performance among Chilean SMEs. Using survey data from 271 firms (February–May 2022), we estimate a generalized structured component analysis (GSCA) model that accommodates a nonrecursive relationship between DSO and EP.
Constanza Caicha‐Caroca +2 more
wiley +1 more source