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Title: A Beginner's Guide To Creating Small-Area Cross-Tabulations

Citation Type: Journal Article

Publication Year: 2011

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Abstract: This short article introduces two techniques of generating cross-tabulations in small areas (for example, block groups or tracts) for which only univariate distributions are available. These techniques require either a microsample or a cross-tabulation from a larger geographic area (for example, a Public Use Microdata Area). One technique uses hill-climbing algonthms, and the other is based on iterated proportional fitting. In this article, we identify the general charactenstics of both techniques. We present and evaluate an example (generating cross-tabulations of households by housing value and number of children enrolled in public school), bñefiy discuss extensions of both techniques to synthetic population construction, and test the synthetic populations by comparing the estimated microsamples with the actual population.

Url: https://www.jstor.org/stable/41426684?seq=1#page_scan_tab_contents

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Authors: Kurban, Haydar; Gallagher, Ryan; Aytekin Kurban, Gulriz; Persky, Joseph

Periodical (Full): Crime and Urban Form

Issue: 3

Volume: 13

Pages: 225-235

Data Collections: IPUMS USA

Topics: Population Data Science

Countries: United States