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The purpose of this study is to investigate methodologies for constructing intercensal estimates of various characteristics of the population for small areas. The proposed methodology is illustrated mainly in the context of unemployment estimates, with one section utilizing dilapidated housing estimates. Alternative synthetic estimates of unemployment based on the 1970 Census 20-percent sample are investigated and their relative error is analyzed. The reliability of the synthetic estimates is discussed in the context of dilapidated housing estimates. Two types of regression models are studied, and the improvements obtained by excluding outliers from the regression are discussed.
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