Results 41 to 50 of about 77,552 (290)
Convex Models, MLS and Misspecification
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Structured ambiguity and model misspecification
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Lars Peter Hansen, Thomas J. Sargent
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Model misspecification in peaks over threshold analysis
Classical peaks over threshold analysis is widely used for statistical modeling of sample extremes, and can be supplemented by a model for the sizes of clusters of exceedances.
Davison, Anthony C., Süveges, Mária
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How Competitive Is Myanmar's Rice Sector? A Comparison of Production Costs and Efficiency
ABSTRACT This paper analyzes the cost competitiveness of rice production in Myanmar by examining production costs, cost efficiency, and the potential effect of improving cost efficiency on the country's global competitiveness. To achieve this, we conduct a comparative analysis of production costs among major rice‐producing countries and estimate the ...
Nandar Aye Chan +3 more
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We address the problem of model misspecification in population pharmacokinetics (PopPK), by modeling residual unexplained variability (RUV) by machine learning (ML) methods in a postprocessing step after conventional model building. The practical purpose
Christos Kaikousidis +2 more
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System Misspecification Testing and Structural Change in the Demand for Meats
A misspecification testing strategy designed to ensure that the statistical assumptions underlying a system of equations are appropriate is outlined. The system tests take into account information in, and interactions between, all equations in the system
Anya M. McGuirk +3 more
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ABSTRACT The origin of a product, if associated with good quality, can contribute to building a positive collective reputation, leading to a potential price premium. However, it is conceivable that a producer markets a product by evoking symbols, images, words, and values typical of places other than where it was designed or produced, creating a ...
Annalisa Caloffi +2 more
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Background 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
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An Alternative Sensitivity Approach for Longitudinal Analysis with Dropout
In any longitudinal study, a dropout before the final timepoint can rarely be avoided. The chosen dropout model is commonly one of these types: Missing Completely at Random (MCAR), Missing at Random (MAR), Missing Not at Random (MNAR), and Shared ...
Amal Almohisen +2 more
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Strategic Misspecification in Regression Models [PDF]
Common regression models are often structurally inconsistent with strategic interaction. We demonstrate that this “strategic misspecification” is really an issue of structural (or functional form) misspecification. The misspecification can be equivalently written as a form of omitted variable bias, where the omitted variables are nonlinear terms ...
Curtis S. Signorino, Kuzey Yilmaz
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