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Some Empirical Evidence on the Impact of Measurement Errors in Making Ecological Inferences

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Author Info
Wendy Cho (University of Illinois at Urbana-Champaign)
George Judge (University of California, Berkeley and Giannini Foundation)

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Abstract

We seek to identify the impact of data measurement error problems in the context of ecological inference applications. We explore the statistical and substantive implications of using inaccurate proxy variables in the estimation and inference process. The focus of our analysis is on applications of ecological inference in cases involving the Voting Rights Act. We demonstrate our findings with a unique data set on racial registration and turnout in Louisiana and South Carolina.

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File URL: http://repositories.cdlib.org/cgi/viewcontent.cgi?article=1038&context=are_ucb
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Publisher Info
Paper provided by Department of Agricultural & Resource Economics, UC Berkeley in its series Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series with number 947.

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Date of creation: 01 Jan 2003
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Handle: RePEc:cdl:agrebk:947

Note: oai:cdlib1:are_ucb-1038
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Related research
Keywords: Ecological Inference; Maximum Entropy; Voting Rights;

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