Simple Methods for Ecological Inference in 2×2 Tables

Chambers, Ray; Steel, David G

doi:10.1111/1467-985x.00195

Cited by 22 publications

(26 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The use of binary MoB fusion distribution has been considered, for example, by Chambers and Steel (2001) in the context of ecological inference, but rarely in statistical matching. The discussion above shows that the MoB fusion distribution is more complicated to handle than CIA when merging data files containing nonbinary and/or multiple target variables.…”

Section: Middle Of Boundsmentioning

confidence: 99%

On Proxy Variables and Categorical Data Fusion

Zhang

2015

Journal of Official Statistics

View full text Add to dashboard Cite

The problem of inference about the joint distribution of two categorical variables based on knowledge or observations of their marginal distributions, to be referred to as categorical data fusion in this paper, is relevant in statistical matching, ecological inference, market research, and several other related fields. This article organizes the use of proxy variables, to be distinguished from other auxiliary variables, both in terms of their effects on the uncertainty of fusion and the techniques of fusion. A measure of the gains of efficiency is provided, which incorporates both the identification uncertainty associated with data fusion and the sampling uncertainty that arises when the theoretical bounds of the uncertainty space are unknown and need to be estimated. Several existing techniques for generating fusion distributions (or datasets) are described and some new ones proposed. Analysis of real-life data demonstrates empirically that proxy variables can make data fusion more precise and the constructed fusion distribution more plausible.

show abstract

Section: Middle Of Boundsmentioning

confidence: 99%

On Proxy Variables and Categorical Data Fusion

Zhang

2015

Journal of Official Statistics

View full text Add to dashboard Cite

show abstract

“…Other regression-type approaches, with a non-parametric flavor, are described by Chambers and Steel (2001).…”

Section: The Fundamental Difficulty Of Ecological Inferencementioning

confidence: 99%

Ecological inference in the social sciences

Glynn

Wakefield

2010

Statistical Methodology

View full text Add to dashboard Cite

Ecological inference is a problem of partial identification, and therefore reliable precise conclusions are rarely possible without the collection of individual level (identifying) data. Without such data, sensitivity analyses provide the only recourse. In this paper we review and critique approaches to ecological inference in the social sciences, and describe in detail hierarchical models, which allow both sensitivity analysis and the incorporation of individual level data into an ecological analysis. A crucial element of a sensitivity analysis in such models is prior specification, and we detail how this may be carried out. Furthermore, we demonstrate how the inclusion of a small amount of individual level data can dramatically improve the properties of such estimates.

show abstract

“…Of course, the methodological difficulties in estimating vote flows using aggregate data need to be addressed, and elsewhere we detail an extension of the Chambers-Steele (2001) method of aggregate data analysis that is especially suited for the problem at hand (Myagkov, Ordeshook, and Shakin, 2007;Myagkov, Shakin and Shulgin, 2007). An important caveat here is warranted by the fact that no method of aggregate data analysis can be perfect; aggregation error and the problems associated with ecological inference can never be wholly eliminated.…”

Section: Indicators Of Fraudmentioning

confidence: 99%

The Disappearance of Fraud: The Forensics of Ukraine's 2006 Parliamentary Elections

Myagkov

Ordeshook

Shakin

2007

Post-Soviet Affairs

View full text Add to dashboard Cite

Ukraine's 2006 parliamentary election was deemed free and fair by outside observers, at least as compared to elections in other states of the former USSR and most notably as compared to the second (November) round of its 2004 presidential vote. In earlier research we applied several statistical forensic indicators to official election returns to assess the extent of fraud in that election and in Russia, and we used those indicators to confirm that Ukraine's December presidential runoff rerun was largely devoid of the fraud that undermined the November vote's legitimacy. Here we apply those same indicators to official returns from Ukraine's 2006 vote, not simply to confirm what observers conclude about that election but also to lend credence to the indicators themselves.

show abstract

Simple Methods for Ecological Inference in 2×2 Tables

Cited by 22 publications

References 5 publications

On Proxy Variables and Categorical Data Fusion

On Proxy Variables and Categorical Data Fusion

Ecological inference in the social sciences

The Disappearance of Fraud: The Forensics of Ukraine's 2006 Parliamentary Elections

Contact Info

Product

Resources

About