DeepAI AI Chat
Log In Sign Up

A General Bayesian Approach to Meet Different Inferential Goals in Poverty Research for Small Areas

by   Partha Lahiri, et al.
Chulalongkorn University
University of Maryland

Poverty mapping that displays spatial distribution of various poverty indices is most useful to policymakers and researchers when they are disaggregated into small geographic units, such as cities, municipalities or other administrative partitions of a country. Typically, national household surveys that contain welfare variables such as income and expenditures provide limited or no data for small areas. It is well-known that while direct survey-weighted estimates are quite reliable for national or large geographical areas they are unreliable for small geographic areas. If the objective is to find areas with extreme poverty, these direct estimates will often select small areas due to the high variabilities in the estimates. Empirical best prediction and Bayesian methods have been proposed to improve on the direct point estimates. However, these estimates are not appropriate for different inferential purposes. For example, for identifying areas with extreme poverty, these estimates would often select areas with large sample sizes. In this paper, using databases used by the Chilean Ministry for their Small Area Estimation production, we illustrate how appropriate Bayesian methodology can be developed to address different inferential problems.


page 1

page 2

page 3

page 4


A spatial variance-smoothing area level model for small area estimation of demographic rates

Accurate estimates of subnational health and demographic indicators are ...

A Computationally Efficient Approach to Fully Bayesian Benchmarking

In small area estimation, it is often necessary to resort to model-based...

A Hierarchical Bayes Unit-Level Small Area Estimation Model for Normal Mixture Populations

National statistical agencies are regularly required to produce estimate...

Simplifying small area estimation with rFIA: a demonstration of tools and techniques

The United States (US) Forest Service Forest Inventory and Analysis (FIA...

A Bayesian approach for small area population estimates using multiple administrative records

Small area population estimates are useful for decision making in the pr...

Towards Adaptive Benthic Habitat Mapping

Autonomous Underwater Vehicles (AUVs) are increasingly being used to sup...

Synthetic Area Weighting for Measuring Public Opinion in Small Areas

The comparison of subnational areas is ubiquitous but survey samples of ...