SAIPE: Data on U.S. Census Bureau's Small Area Income and Poverty...

In BayesSAE: Bayesian Analysis of Small Area Estimation

Description

The U.S. Census Bureau's Small Area Income and Poverty Estimates (SAIPE) program provides annual estimates of income and poverty statistics for all school districts, counties, and states. The main objective of this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. The Data is a data frame containing 2005 ACS poverty rate estimators as well as its variance estimators, and the common regressors used in SAIPE publications and conference papers William et. al (2007) and Hawalay and Lahiriz (2012).

Usage

data(SAIPE)

Format

A data frame with 51 observations on the following 7 variables.

SACPR

2005 single year state-level poverty rate estimated by ACS(%)

StdE

standard errors of ACSPR

SNAPR

state rate of Food Stamp participation

CenPR

U.S. census 2000 state-lvel poverty rate

CPER

state rate of IRS Child Tax-Poor Exemptions

CFR

IRS child filing state rate

Vardir

variance estimators of ACSPR

Source

www.census.gov

References

Bell, W. and Basel, W. and Cruse, C. and Dalzell, L. and Maples, J and O'Hara, B and Powers, D. (2007) Use of ACS Data to Produce SAIPE Model-Based Estimates of Poverty for Counties, U.S. Census official paper

Hawalay, S. and Lahiriz, P. (2012). Hierarchical Bayes Estimation of Poverty Rates, U.S. Census companion paper

BayesSAE documentation built on May 2, 2019, 3:44 a.m.