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An Information Theoretic Approach to Ecological Estimation and Inference AgEcon
Judge, George G.; Miller, Douglas J.; Cho, Wendy K..
Tipo: Working or Discussion Paper Palavras-chave: Environmental Economics and Policy.
Ano: 2003 URL: http://purl.umn.edu/25065
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Some Empirical Evidence on the Impact of Measurement Errors in Making Ecological Inferences AgEcon
Cho, Wendy K.; Judge, George G..
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.
Tipo: Working or Discussion Paper Palavras-chave: Ecological inference; Maximum entropy; Voting rights; Environmental Economics and Policy.
Ano: 2003 URL: http://purl.umn.edu/25080
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Stigler's approach to recovering the distribution of first significant digits in natural data sets AgEcon
Lee, Joanne; Cho, Wendy K.; Judge, George G..
In 1881, Newcomb conjectured that the first significant digits (FSDs) of numbers in statistical tables would follow a logarithmic distribution with the digit “1” occurring most often. However, because Newcomb’s proposal was not presented with a theoretical basis, it was not given much attention. Fifty-seven years later, Benford argued for the same principle and showed it was relevant to a large range of data sets, and the logarithmic FSD distribution became known as “Benford’s Law.” In the mid-1940s, Stigler claimed Benford’s Law contained a theoretical inconsistency and supplied an alternative derivation for the distribution of FSDs. In this paper, we examine the theoretical basis of the Stigler distribution and extend his reasoning by incorporating FSD...
Tipo: Working or Discussion Paper Palavras-chave: Benford's law; Stigler's law; Power law; Maximum entropy; Distance measures; Research and Development/Tech Change/Emerging Technologies; Research Methods/ Statistical Methods; C10; C24.
Ano: 2009 URL: http://purl.umn.edu/47000
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