Results 91 to 100 of about 24,401 (306)
Acknowledgement Misspecification in Macroeconomic Theory [PDF]
We explore methods for confronting model misspecification in macroeconomics. We construct dynamic equilibria in which private agents and policy makers recognize that models are approximations.
Sargent, Thomas-J, Hansen, Lars-Peter
core
Dealing with Misspecification in DSGE Models: A Survey [PDF]
, 2017 Dynamic Stochastic General Equilibrium (DSGE) models are the main tool used in Academia and in Central Banks to evaluate the business cycle for policy and forecasting analyses.
Paccagnini, Alessia
core
Measuring the Burden of Choice: Development and Validation of a Choice Overload Scale
Journal of Consumer Behaviour, EarlyView.ABSTRACT Excessive choice imposes substantial cognitive demands on consumers, impair decision‐making, and generate negative consumer responses—a phenomenon widely known as the choice overload effect. Despite its conceptual prominence in consumer research and its enduring relevance in today's consumer markets, existing approaches to measuring choice ...
Jennifer Musial
wiley +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
Copula‐based joint modelling of emergency department visits with time‐varying dependence
Canadian Journal of Statistics, EarlyView.Abstract Jointly modelling multiple correlated count time series is essential in health services research, where outcomes like emergency visits for mental health and substance use often evolve together. Ignoring these dependencies can obscure meaningful trends and limit the effectiveness of policy evaluation.
Guanjie Lyu, Cindy Feng, Lihui Liu
wiley +1 more source
Errors in Statistical Inference Under Model Misspecification: Evidence, Hypothesis Testing, and AIC
Frontiers in Ecology and Evolution, 2019 The methods for making statistical inferences in scientific analysis have diversified even within the frequentist branch of statistics, but comparison has been elusive.
Brian Dennis +4 more
doaj +1 more source
The Visual Predictive Check and Real‐World Data
Clinical Pharmacology &Therapeutics, EarlyView.The visual predictive check (VPC) is a standard tool for assessing pharmacometric model suitability, producing visualizations that compare observed data with simulated data such that both model structure and model variability terms can be assessed. However, real‐world data commonly reflect clinical decision‐making that adapts therapy in response to ...
Jasmine H. Hughes +2 more
wiley +1 more source
Frontiers in Psychology, 2018 The performance of the limited-information statistic M2 for diagnostic classification models (DCMs) is under-investigated in the current literature. Specifically, the investigations of M2 for specific DCMs rather than general modeling frameworks are ...
Fu Chen, Yanlou Liu, Tao Xin, Ying Cui
doaj +1 more source
CEO Overconfidence, Industry Competition, and ESG Performance
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT This study examines the interplay among CEO overconfidence, industry competition, and firms' ESG (Environmental, Social, and Governance) performance. With the growing importance of ESG management, firms are investing more in ESG initiatives as a strategic approach to mitigating downside risk. However, overconfident CEOs, characterized by their
Taehyung Kim, Jaeseog Na
wiley +1 more source
Identification versus misspecification in New Keynesian monetary policy models
, 2019 In this paper, we study identification and misspecification problems in standard closed and open-economy empirical New-Keynesian DSGE models used in monetary policy analysis.
LASÉEN Stefan +3 more
core +2 more sources