Interview: Interview

In mhurdle: Multiple Hurdle Tobit Models

Description

a cross section from 2014

Format

A dataframe containing :

month

the month of the interview,

size

the number of person in the household,

cu

the number of consumption units in the household,

income

the income of the household for the 12 month before the interview,

linc

the logarithme of the net income per consumption unit divided by its mean,

linc2

the square of link,

smsa

does the household live in a SMSA (yes or no),

sex

the sex of the reference person of the household (male and female),

race

the race of the head of the household, one of white, black, indian, asian, pacific and multirace,

hispanic

is the reference person of the household is hispanic (no or yes),

educ

the number of year of education of the reference person of the household,

age

the age of the reference person of the household - 50,

age2

the square of age

car

cars in the household,

food

food,

alcool

,

housing

,

apparel

,

transport

,

health

,

entertainment

,

perscare

,

reading

,

education

,

tobacco

,

miscexp

,

cashcont

,

insurance

,

shows

,

foodaway

,

vacations

.

Details

number of observations : 1000

observation : households

country : United-States

Source

Consumer Expenditure Survey (CE), program of the US Bureau of Labor Statistics https://www.bls.gov/cex/, interview survey.

mhurdle documentation built on Dec. 11, 2021, 9:21 a.m.