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Persistent link: https://www.econbiz.de/10013502335
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evidence with secondary data. Findings The paper presents an algorithm and a system to support a more efficient and smart …
Persistent link: https://www.econbiz.de/10015353471
attain the fairest grading, this paper proposes a hybrid algorithm that integrates z score, K -means and heuristic methods … the algorithm's constituent methods could deliver the fairest grading results with fairness degrees ranging from 0.110 to … algorithm for fair norm-referenced grading, a fairness metric for norm-referenced grading and the fairness performance results …
Persistent link: https://www.econbiz.de/10014712612
solution with respect to the underlying probability. An efficient geometrical algorithm is proposed to solve the SLP. …
Persistent link: https://www.econbiz.de/10010311008
The aim of this paper is to explore several features concerning the generalized marginal rate of substitution (GMRS)when the consumers utility maximization problem with several constraints is formulated as a quasi-concave programming problem. We show that a point satisfying the first order...
Persistent link: https://www.econbiz.de/10010317072
We consider the estimation of parametric models for stationary spatial or spatio-temporal data on a d-dimensional lattice, for d ≥ 2. The achievement of asymptotic efficiency under Gaussianity, and asymptotic normality more generally, with standard convergence rate, faces two obstacles. One is...
Persistent link: https://www.econbiz.de/10010318450
We develop a simulated ML method for short-panel estimation of one or more dynamic linear equations, where the dependent variables are only partially observed through ordinal scales. We argue that this latent autoregression (LAR) model is often more appropriate than the usual state-dependence...
Persistent link: https://www.econbiz.de/10010318504
Hedonic pricing with quasilinear preferences is shown to be equivalent to stable matching with transferable utilities and a participation constraint, and to an optimal transportation (Monge-Kantorovich) linear programming problem. Optimal assignments in the latter correspond to stable matchings,...
Persistent link: https://www.econbiz.de/10010318563
We develop a practical and novel method for inference on intersection bounds, namely bounds defined by either the infimum or supremum of a parametric or nonparametric function, or equivalently, the value of a linear programming problem with a potentially infinite constraint set. We show that...
Persistent link: https://www.econbiz.de/10010318689