Small-Area Estimation With State–Space Models Subject to Benchmark Constraints
نویسندگان
چکیده
منابع مشابه
M-quantile Models for Small Area Estimation
Small area estimation techniques are employed when sample data are insufficient for acceptably precise direct estimation in domains of interest. These techniques typically rely on regression models that use both covariates and random effects to explain variation between domains. However, such models also depend on strong distributional assumptions, require a formal specification of the random p...
متن کاملSmall area estimation using skew normal models
Valmária Rocha da Silva ∗ Fernando Antônio da Silva Moura † Abstract The main aim of this work is to propose two important connected extensions of the Fay and Heriot (1979) area level small area estimation model that might be of practical and theoretical interests. The first extension allows for the sampling error to be non-symmetrically distributed. This is important for the case that the samp...
متن کاملSome New Developments in Small Area Estimation
Small area estimation has received a lot of attention in recent years due to growing demand for reliable small area statistics. Traditional area-specific estimators may not provide adequate precision because sample sizes in small areas are seldom large enough. This makes it necessary to employ indirect estimators based on linking models. Basic area level and unit level models have been extensiv...
متن کاملLocal stationarity in small area estimation models
Small area estimators are often based on linear mixed models under the assumption that relationships among variables are stationary across the area of interest (Fay–Herriot models). This hypothesis is patently violated when the population is divided into heterogeneous latent subgroups. In this paperwe propose a local Fay–Herriotmodel assisted by a SimulatedAnnealing algorithm to identify the la...
متن کاملApplying Bivariate Binomial/Logit Normal Models to Small Area Estimation
The U.S. Census Bureau’s SAIPE (Small Area Income and Poverty Estimates) program estimates poverty for various age groups for states, counties, and school districts of the U.S. We focus here on poverty estimates of school-aged (5-17) children for counties. The corresponding SAIPE production model applies to log transformed direct survey estimates for each county of the number of 5-17 year-olds ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of the American Statistical Association
سال: 2006
ISSN: 0162-1459,1537-274X
DOI: 10.1198/016214506000000591