DatA {Frames2}

Database of household expenses for frame A

Description

This dataset contains some variables regarding household expenses for a sample of 105 households selected from a list of landline phones (let say, frame A) in a particular city in a specific month.

Usage

DatA

Format

Domain

A string indicating the domain each household belongs to. Possible values are "a" if household belongs to domain a or "ab" if household belongs to overlap domain.

Feed

Feeding expenses (in euros) at the househould

Clo

Clothing expenses (in euros) at the household

Lei

Leisure expenses (in euros) at the household

Inc

Household income (in euros). Values for this variable are only available for households included in frame A. For households included in domain b, value of this variable is set to 0.

Tax

Household municipal taxes (in euros) paid. Values for this variable are only available for households included in frame A. For households included in domain b, value of this variable is set to 0.

M2

Square meters of the house. Values for this variable are only available for households included in frame B. For households included in domain a, value of this variable is set to 0.

Size

Household size. Values for this variable are only available for households included in frame B. For households included in domain a, value of this variable is set to 0.

ProbA

First order inclusion probability in frame A. This probability is 0 for households included in domain b.

ProbB

First order inclusion probability in frame B. This probability is 0 for households included in domain a.

Stratum

A numeric value indicating the stratum each household belongs to.

Details

The sample, of size n_A = 105, has been drawn from a population of N_A = 1735 households with landline phone according to a stratified random sampling. Population units were divided in 6 different strata. Population sizes of these strata are N_A^h = (727, 375, 113, 186, 115, 219). N_{ab} = 601 of the households composing the population have, also, mobile phone. On the other hand, frame totals for auxiliary variables in this frame are X_{Income}^A = 4300260 and X_{Taxes}^A = 215577.

See Also

PiklA

Examples

data(DatA)
attach(DatA)
#Let perform a brief descriptive analysis for the three main variables
param <- data.frame(Feed, Clo, Lei)
summary (param)
hist (Feed)
hist (Clo)
hist (Lei)