Results 81 to 90 of about 29,799 (296)

Structural Break Tests Robust to Regression Misspecification

open access: yesEconometrics, 2018
Structural break tests for regression models are sensitive to model misspecification. We show—analytically and through simulations—that the sup Wald test for breaks in the conditional mean and variance of a time series process exhibits severe
Alaa Abi Morshed   +2 more
doaj   +1 more source

Confronting Model Misspecification in Macroeconomics [PDF]

open access: yes
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  

Digital Orientation and Green Practices in Chilean SMEs: Innovation as the Pathway to Competitive Performance

open access: yesBusiness 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

Can Machine Learning-Based Portfolios Outperform Traditional Risk-Based Portfolios? The Need to Account for Covariance Misspecification

open access: yesRisks, 2019
The Hierarchical risk parity (HRP) approach of portfolio allocation, introduced by Lopez de Prado (2016), applies graph theory and machine learning to build a diversified portfolio.
Prayut Jain, Shashi Jain
doaj   +1 more source

Parameter misspecification and robust monetary policy rules [PDF]

open access: yes
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  

Corporate Dynamic Eco‐Innovation Capability and Carbon Emission Reduction: Evidence From African Listed Firms With the Role of Institutional Pressures

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Despite the global emphasis on simultaneous achievement of higher growth and lower pollution (green growth), the dynamic link between eco‐innovation and CO2 emissions remains inadequately understood globally and specifically in Africa, with a complex and diverse institutional and regulatory landscape.
Idorenyin J. Okon   +2 more
wiley   +1 more source

From Informality to Green Development: How the Shadow Economy Affects Green Finance, Green Innovation, and Green Trade

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Achieving green transition has become an essential policy priority for which economies need to mobilize green finance, increase green innovation, and promote trade in environmentally sustainable goods and services. However, the effectiveness of policies for enhanced green development depends not only on their design but also on their ...
Sami Ur Rahman   +3 more
wiley   +1 more source

Jailbreaking as a Reward Misspecification Problem

open access: yesCoRR
Accepted to ICLR 2025.
Zhihui Xie 0002   +5 more
openaire   +4 more sources

Does the CEO's Attention Affect How Well the Firm Performs Environmentally?

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This study explores whether CEOs' environmental attention (CEA) enhances firms' environmental performance. Drawing on attention‐based and upper echelons theories, which emphasize that executives' cognitive focus shapes organizational outcomes, we argue that CEOs who devote greater attention to environmental issues are more likely to integrate ...
Salah Aldain Abdullah Alshorman   +2 more
wiley   +1 more source

Shaking the trees: Abilities and Capabilities of Regression and Decision Trees for Political Science

open access: yesITM 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

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