Incorporating Spatial Structures in Ecological Inference: An Information Theory Approach

Entropy

关键词: generalized cross entropy estimation;    ecological inference;    spatial heterogeneity;   

DOI  :  10.3390/e12102171

来源: mdpi

【 摘 要 】

This paper introduces an Information Theory-based method for modeling economic aggregates and estimating their sub-group (sub-area) decomposition when no individual or sub-group data are available. This method offers a flexible framework for modeling the underlying variation in sub-group indicators, by addressing the spatial dependency problem. A basic ecological inference problem, which allows for spatial heterogeneity and dependence, is presented with the aim of first estimating the model at the aggregate level, and then of employing the estimated coefficients to obtain the sub-group level indicators.

【 授权许可】

CC BY   
© 2010 by the authors; licensee MDPI, Basel, Switzerland.