Record Details

Small-area estimation under a log-transformed area-level model

KRISHI: Publication and Data Inventory Repository

View Archive Info
 
 
Field Value
 
Title Small-area estimation under a log-transformed area-level model
Not Available
 
Creator Hukum Chandra
Kaustav Aditya
Sushil Kumar
 
Subject Small area
log scale
back-transformation
bias correction
 
Description Not Available
Area-level models are often used for small-area estimation when auxiliary data are
available only as area aggregates. A popular area-level model used for small-area
estimation is the Fay–Herriot model. In many small-area applications, the Fay–
Herriot model is often fitted on a logarithm (log) scale and model parameters are
estimated under this model. This is followed by back-transformation to obtain the
estimates for small-area quantities in the original scale. However, back-transformation
leads to biased estimates of small-area quantities. This article
develops a bias-corrected predictor for small-area quantities under a log-transformed
Fay–Herriot model. The empirical results-based simulation studies
show that the bias-corrected small-area predictor has both smaller bias and better efficiency as compared to the existing small-area predictors.
Not Available
 
Date 2018-10-26T09:43:22Z
2018-10-26T09:43:22Z
2018-01-04
 
Type Research Paper
 
Identifier Not Available
Not Available
https://doi.org/10.1080/15598608.2017.1415174
http://krishi.icar.gov.in/jspui/handle/123456789/8252
 
Language English
 
Relation Not Available;
 
Publisher Not Available