An Errors-in-Variables Approach to Estimating Models with Small Area Data

Datos Bibliográficos

ID7971010
AutoresJ E Jackson (0000-0001-6629-4660, autor de correspondencia)
Año1989
Volumen1
Páginas157-180
Fecha de publicación1989-01-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaPolitical Analysis (JOURNAL)
Identificadores de la revistaISSN: 1047-1987 • E-ISSN: 1476-4989
EditorialCambridge University Press (CUP) (PUBLISHER)
DOI10.1093/pan/1.1.157
OpenAlexW1966392632
IdiomaEN
Citas recibidas12
Referencias citadas10

Many important social science models are estimated with subnational units, such as states, congressional districts, or counties as the units of observation. These analyses may require estimates of population characteristics for these units that are not readily available from published sources. Frequently the size and number of these units make direct data collection, such as household surveys, prohibitively expensive or completely infeasible. The need is to develop methods for using more readily available data to estimate these subgroup attributes. This article presents such a method based on national-level survey data

Data collection · Econometrics · Small area estimation · Statistics · Computer Science · demographic modeling and climate adaptation · Health disparities and outcomes · Mathematics · Urban, Neighborhood, and Segregation Studies