Estimating a Mixed Profile MDCEV:Case of Daily Activity Type and Duration, M.Sc. Thesis Sharif University of Technology ; Samimi, Amir (Supervisor)
Abstract
The closed-form formulation of MDCEV has become popular in past years, as it accounts for satiation effects through a novel consumption-based utility structure. The model, however, suffers from an “empirical identification” problem. The problem is mainly due to entangled roles of two model parameters in capturing satiation effects. Thus far, the best known solution to the problem is fixing either or both of the parameters to pre-defined values and estimate a restricted satiation profile. This paper, presents a new hybrid optimization algorithm (named HEMPME) to eliminate the need for imposing such restrictions, and disentangle the two effects through estimating a “mixed profile” model....
Cataloging briefEstimating a Mixed Profile MDCEV:Case of Daily Activity Type and Duration, M.Sc. Thesis Sharif University of Technology ; Samimi, Amir (Supervisor)
Abstract
The closed-form formulation of MDCEV has become popular in past years, as it accounts for satiation effects through a novel consumption-based utility structure. The model, however, suffers from an “empirical identification” problem. The problem is mainly due to entangled roles of two model parameters in capturing satiation effects. Thus far, the best known solution to the problem is fixing either or both of the parameters to pre-defined values and estimate a restricted satiation profile. This paper, presents a new hybrid optimization algorithm (named HEMPME) to eliminate the need for imposing such restrictions, and disentangle the two effects through estimating a “mixed profile” model....
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