ALLEVIATING ECOLOGICAL BIAS IN POISSON MODELS USING OPTIMAL SUBSAMPLING: THE EFFECTS OF JIM CROW ON BLACK ILLITERACY IN THE ROBINSON DATA

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ALLEVIATING ECOLOGICAL BIAS IN POISSON MODELS USING OPTIMAL SUBSAMPLING: THE EFFECTS OF JIM CROW ON BLACK ILLITERACY IN THE ROBINSON DATA

Adam N. Glynn - Nama Orang;

In many situations, data are available at some aggregate level, but one wishes to estimate the individual-level association between a response and an explanatory variable (or variables). Unfortunately, this endeavor is fraught with difficulties because of the ecological level of the data. The only reliable approach for overcoming the inherent identifiability problem associated with the analysis of ecological data is to supplement the ecological data with individual-level data. In this article, the authors illustrate the benefits of gathering individual-level data in the context of a Poisson modeling framework. Additionally, they derive optimal designs that allow the individual samples to be chosen so that information with respect to a particular model is maximized. The methods are illustrated using Robinson’s classic data on illiteracy rates. The authors show that the optimal design, if used

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Judul Seri: Sociological Methodology
No. Panggil: -
Penerbit: USA : American Sociological Association., 2014
Deskripsi Fisik: Sociological Methodology 2014, Vol. 44(1) 159–184
Bahasa: English
ISBN/ISSN: DOI: 10.1177/0081175
Klasifikasi: -
Tipe Isi: -
Tipe Media: -
Tipe Pembawa: -
Edisi: 2014, Vol. 44(1) 159–184
Subjek: sociology
Info Detail Spesifik: -
Pernyataan Tanggungjawab: dody/Agus

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ALLEVIATING ECOLOGICAL BIAS IN POISSON MODELS USING OPTIMAL SUBSAMPLING: THE EFFECTS OF JIM CROW ON BLACK ILLITERACY IN THE ROBINSON DATA

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