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At least 1,063 records · Page 59Linked to original sources
PubMed1989

Empirical Bayes estimation of undercount in the decennial census.

Empirical Bayes methods are used to estimate the extent of the undercount at the local level in the 1980 U.S. census. "Grouping of like subareas from areas such as states, counties, and so on into strata is a useful way of reducing the variance of undercount estimators. By modeling the subareas within a stratum to have a common mean and variances inversely proportional to their census counts, and by taking into account sampling of the areas (e.g., by dual-system estimation), empirical Bayes estimators that compromise between the (weighted) stratum average and the sample value can be constructed. The amount of compromise is shown to depend on the relative importance of stratum variance to sampling variance. These estimators are evaluated at the state level (51 states, including Washington, D.C.) and stratified on race/ethnicity (3 strata) using data from the 1980 postenumeration survey (PEP 3-8, for the noninstitutional population)."

Americas↗
PubMed1989

Forecasting aggregate period-specific birth rates: the time series properties of a microdynamic neoclassical model of fertility.

"This article demonstrates the value of microdata for understanding the effect of wages on life cycle fertility dynamics. Conventional estimates of neoclassical economic fertility models obtained from linear aggregate time series regressions are widely criticized for being nonrobust when adjusted for serial correlation. Moreover, the forecasting power of these aggregative neoclassical models has been shown to be inferior when compared with conventional time series models that assign no role to wages. This article demonstrates that, when neoclassical models of fertility are estimated on microdata using methods that incorporate key demographic restrictions and when they are properly aggregated, they have considerable forecasting power." Data are from the 1981 Swedish Fertility Survey.

Birth Rate↗
PubMed1993

The 1990 Post-Enumeration Survey: operations and results.

The author assesses the 1990 Post-Enumeration Survey, which was "designed to produce Census tabulation of [U.S.] states and local areas corrected for the undercount or overcount of population....[He] discusses the process that produced the census adjustment estimates [as well as] the work aimed at improving the estimates.... The article then presents some of the principal results...."

Americas↗
PubMed1993

Estimation of population coverage in the 1990 United States census based on demographic analysis.

"This article presents estimates of net coverage of the national population in the 1990 [U.S.] census, based on the method of demographic analysis. The general techniques of demographic analysis as an analytic tool for coverage measurement are discussed, including use of the demographic accounting equation, data components, and strengths and limitations of the method. Patterns of coverage displayed by the 1990 estimates are described, along with similarities or differences from comparable demographic estimates for previous censuses....A final section presents the results of the first statistical assessment of the uncertainty in the demographic coverage estimates for 1990." Comments by Clifford C. Clogg and Christine L. Himes (pp. 1,072-4) and Jeffrey S. Passel (pp. 1,074-7) and a rejoinder by the authors (pp. 1,077-9) are included.

Americas↗
PubMed1993

Using information from demographic analysis in post-enumeration survey estimation.

"Population estimates from the 1990 Post-Enumeration Survey (PES), used to measure decennial census undercount, were obtained from dual system estimates (DSE's) that assumed independence within strata defined by age-race-sex-geography and other variables. We make this independence assumption for females, but develop methods to avoid the independence assumption for males within strata by using national level sex ratios from demographic analysis (DA).... We consider several...alternative DSE's, and use DA results for 1990 to apply them to data from the 1990 U.S. census and PES."

Americas↗
PubMed1994

Stochastic population forecasts for the United States: beyond high, medium, and low.

"This article presents and implements a new method for making stochastic population forecasts that provide consistent probability intervals. We blend mathematical demography and statistical time series methods to estimate stochastic models of fertility and mortality based on U.S. data back to 1900 and then use the theory of random-matrix products to forecast various demographic measures and their associated probability intervals to the year 2065. Our expected total population sizes agree quite closely with the Census medium projections, and our 95 percent probability intervals are close to the Census high and low scenarios. But Census intervals in 2065 for ages 65+ are nearly three times as broad as ours, and for 85+ are nearly twice as broad. In contrast, our intervals for the total dependency and youth dependency ratios are more than twice as broad as theirs, and our ratio for the elderly dependency ratio is 12 times as great as theirs. These items have major implications for policy, and these contrasting indications of uncertainty clearly show the limitations of the conventional scenario-based methods."

Age Factors↗