MEM and SEM in the GME Framework: Statistical Modelling of Perception and Satisfaction

This paper presents a review of the original method recently developed by the authors with the Generalized Maximum Entropy (GME) estimator for the simple linear Measurement Error Model (MEM) and the Structural Equation Model (SEM). In socio-economic research, these two models often concern subjectiv...

Full description

Saved in:
Bibliographic Details
Published in:Procedia economics and finance 2014, Vol.17, p.20-29
Main Authors: Carpita, Maurizio, Ciavolino, Enrico
Format: Article
Language:English
Subjects:
Eurobarometer
Generalized Maximum Entropy Estimator
Item Analysis
Job Satisfaction
Measurement Error Model
Structural Equation Model
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper presents a review of the original method recently developed by the authors with the Generalized Maximum Entropy (GME) estimator for the simple linear Measurement Error Model (MEM) and the Structural Equation Model (SEM). In socio-economic research, these two models often concern subjective or psychological variables (composite indicators), and represent relations between latent variables. In this review, two applications to the statistical modelling of economic perception and job satisfaction are presented.
ISSN:2212-5671
2212-5671
DOI:10.1016/S2212-5671(14)00874-0