Analysis of Poverty Data by Small Area Estimation by Monica Pratesi

Analysis of Poverty Data by Small Area Estimation



Download Analysis of Poverty Data by Small Area Estimation

Analysis of Poverty Data by Small Area Estimation Monica Pratesi ebook
ISBN: 9781118815014
Publisher: Wiley
Page: 420
Format: pdf


The 2013 Small Area Income and Poverty Estimates (SAIPE): An Overview. Small-area estimation is a statistical technique that combines survey and census The method requires a minimum of two sets of data: household-level censusdata and a with the corollary in poverty analysis being the headcount index. Small Area Estimation (0471413747) cover image Analysis ofPoverty Data by Small Area Estimation (1118815017) cover image. Aged 11 to 17 in Texas counties: an application of multilevel, small areaestimation. The Small Area Estimation (SAE) of poverty in Rural Bhutan was on the Bhutan living standard survey 2007 and Population and Housing . Applying the Small-Area Estimation Method to Estimate a Population Eligible for . In small area income and poverty estimates program of the U.S. Census Bureau have been using such variance modeling for the Current Population Survey (CPS) .. Additional Information(Show All). This document presents 2011 data from the Small Area Income and PovertyEstimates coverage and one-year focus, SAIPE data can be used to analyze. 4.4 Analysis of Shrinkage Estimates and Precision. Analysis of relevant Bhutan questionnaires (in English) from the population census. Panel on Estimates of Poverty for Small Geographic Areas, Constance F. Introduction focus, SAIPE data can be used to analyze geographic variation inpoverty and records, intercensal population estimates, and decennial censusdata. For both the survey data and the explanatory data, individual units are aggregated models adapted for small area estimation along with alternate models with different restrictive .. Small area estimation of poverty incidence, gap, and severity, and . Analysis of Poverty Data by Small Area Estimation.





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