Download Applied Demography in the 21st Century by Steve H. Murdock PDF

By Steve H. Murdock

Utilized Demography is obviously evolving as its practitioners get entangled within the rising tendencies of the Twenty-First Century. information bases, noticeable matters and methodological ways seldom thought of quite a few years in the past became mainstream matters within the zone of utilized demography. This ebook derived from the first post-2000 nationwide convention on utilized Demography, to be held in San Antonio, Texas January 7-9, 2007 lower than the sponsorship of the Institute for Demographic and Socioeconomic study on the collage of Texas at San Antonio, presents a different chance to acquire an outline of the present country of utilized demography. The paintings will supply a cross-sectional view of utilized Demography and an evaluate of its most probably destiny.

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Vacant units are unlikely to mail back the questionnaire or respond by telephone, so the ACS is likely to underestimate the vacancy rate. There are probably other more subtle variables that have the same bias. We know some ethnic groups are more likely to respond by mail. Again, the importance is yet to be determined. The purpose of the ACS is to provide detailed social, economic, housing, and demographic characteristics – that is, distributions – at the local level. It was not intended to provide improved estimates of population counts, but the numbers are available.

Since the strata are already groups of counties, the ACS totals and the population estimates will not completely agree, except in large counties that are single-county strata. There will be no agreement Measuring Population Change Using the American Community Survey 23 in the population numbers from the two programs for sub-county areas, nor for any age, race, or ethnic group that was not also an estimation stratum. The person weighting starts with the housing unit weights controlled to the population estimates by age, race, sex, and Hispanic origin.

Each year’s estimates are calculated by computing the percent change between the POPHU estimates from 2000 and the POPHU estimates from the year of interest. This calculation establishes a change estimate. Multiplying this change estimate by the DSE yields the estimated housing unit increase. Adding the increase to the original DSE gives the estimate of the true number of housing units for the year of interest. We then compare these estimates to the counts of ACSdefined housing units on the MAF to arrive at net coverage estimates.

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