TexasData: Relationship between income and demographic composition in...

In BayesGESM: Bayesian Analysis of Generalized Elliptical Semi-Parametric Models and Flexible Measurement Error Models

Description

This dataset consists of some demographic variables for each of the 254 municipalities of the state of Texas, USA, which were obtained from the US Census of 2010. From the American Community Survey (ACS), collected during the period 2009-2013, some variables of labor force and labor market of the households in each municipality of the state of Texas, were also included. Because the variables obtained from the ACS are subjected to sampling error, their analysis is based on the assumption of measurement error, where the sampling variances are considered as the variances of the measurement errors.

Usage

data(TexasData)

Format

A data frame with 254 observations on the following 13 variables.

County

name of municipality

MeanIng

Average family income in the last year, in hundreds of dollars

VarMeanIng

Variance of average family income

PopLabor16

Percentage of people in the Labor force (over 16 years).

VarPopLabor16

Variance of percentage of people in the Labor force

P_Desemp

Unemployment rate

VarP_Desemp

Variance of unemployment rate

PbMasc

Male population

PbFem

Female population

P_PbHisp

Percentage of Hispanic population

P_PbNegra

Percentage of black population

DensPobla

Population density

P_PbFem

Percentage of female population

Source

http://www.census.gov/, http://www.census.gov/acs/www/

Examples

#data(TexasData)
#nu <- 3
#zeta <- nu/(nu-1)
#heter <- list(sigma2y=VarMeanIng/zeta, sigma2xi=cbind(VarPopLabor16,
#          VarP_Desemp)/zeta)
#model <- fmem(MeanIng/100 ~  PopLabor16 + P_Desemp | log(DensPobla) +
#         P_PbFem +  P_PNegra + bsp(P_PbHisp), data=TexasData, family="Slash",
#         eta=nu, burn.in=10000, post.sam.s=10000, heter=heter,thin=10)
#summary(model)

BayesGESM documentation built on May 2, 2019, 11:27 a.m.