Estimating Small-Area Income Deprivation: An Iterative Proportional Fitting Approach

  • Anderson B
N/ACitations
Citations of this article
17Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Small-area estimation, in particular the estimation of small-area income deprivation, has potential value in the development of new or alternative components of multiple deprivation indices. These new approaches enable the development of income distribution threshold-based measures of income deprivation as opposed to benefit count-based measures of income deprivation and so enable the alignment of regional and national measures such as the Households Below Average Income with small-area measures. This chapter briefly reviews a number of approaches to small-area estimation before describing in some detail an iterative proportional fitting based spatial microsimulation approach. This approach is then applied to the estimation of small-area HBAI rates at the small-area level in Wales in 2003--2005. This chapter discusses the results of this approach, contrasts them with contemporary `official' income deprivation measures for the same areas and describes a range of ways to assess the robustness of the results.

Cite

CITATION STYLE

APA

Anderson, B. (2012). Estimating Small-Area Income Deprivation: An Iterative Proportional Fitting Approach. In Spatial Microsimulation: A Reference Guide for Users (pp. 49–67). Springer Netherlands. https://doi.org/10.1007/978-94-007-4623-7_4

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free