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The uptick in income segregation : real trend or random sampling variance

Author: John R Logan; Andrew D Foster; Jun Ke; Fan Li; National Bureau of Economic Research,
Publisher: Cambridge, Mass. : National Bureau of Economic Research, 2017.
Series: Working paper series (National Bureau of Economic Research), no. 23656.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
Recent studies have reported a reversal of an earlier trend in income segregation in metropolitan regions, from a decline in the 1990s to an increase in the 2000-2010 decade. This finding reinforces concerns about the growing overall income inequality in the U.S. since the 1970s. We re-evaluate the trend. Because the effective sample for the ACS is much smaller than it was for Census 2000, to which it is being  Read more...
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Details

Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: John R Logan; Andrew D Foster; Jun Ke; Fan Li; National Bureau of Economic Research,
OCLC Number: 1000303154
Notes: "August 2017"
Description: 1 online resource (64 pages) : illustrations.
Series Title: Working paper series (National Bureau of Economic Research), no. 23656.
Responsibility: John R. Logan, Andrew Foster, Jun Ke, Fan Li.

Abstract:

Recent studies have reported a reversal of an earlier trend in income segregation in metropolitan regions, from a decline in the 1990s to an increase in the 2000-2010 decade. This finding reinforces concerns about the growing overall income inequality in the U.S. since the 1970s. We re-evaluate the trend. Because the effective sample for the ACS is much smaller than it was for Census 2000, to which it is being compared, there is a possibility that the apparent changes in disparities across census tracts result partly from a higher level of sampling variation and bias due to the smaller sample. This study uses 100% microdata from the 1940 census to simulate the effect of different sampling rates on the observed measure of inequality, drawing from a population at a single point in time so that there is no change in actual income segregation. We find considerable variation in estimates across samples taken from the same population, particularly for smaller samples. The difference between the median estimate using sampling rates comparable to Census 2000 and the ACS is as large as the observed changes since 2000. We propose alternative approaches to calculate unbiased estimates of class segregation.

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