| Title: | The Italian Survey on Household and Wealth, 2008 and 2010 |
|---|---|
| Description: | Provides two record linkage data sets on the Italian Survey on Household and Wealth, 2008 and 2010, a sample survey conducted by the Bank of Italy every two years. The 2010 survey covered 13,702 individuals, while the 2008 survey covered 13,734 individuals. The following categorical variables are included in this data set: year of birth, working status, employment status, branch of activity, town size, geographical area of birth, sex, whether or not Italian national, and highest educational level obtained. Unique identifiers are available to assess the accuracy of one’s method. Please see Steorts (2015) <DOI:10.1214/15-BA965SI> to find more details about the data set. |
| Authors: | Rebecca Steorts [aut, cre] |
| Maintainer: | Rebecca Steorts <[email protected]> |
| License: | CC0 |
| Version: | 0.1.0 |
| Built: | 2025-02-17 02:57:55 UTC |
| Source: | https://github.com/cleanzr/italy |
The 2008 survey on covered 13,734 Italian Survey on Household and Wealth covering individuals.
italy08italy08
A data frame with 11 variables: parent, sex, anasc, nascreg, ' cit, acom4c, studio, codeq, codequal, codesett, codeireg. There is an additional variable id that is the unique identifier for the data set.
Common models
This data set has one year's worth of data. This data set joined with another year's worth of is appropriate for performing various types of record linkage and can be assessed by standard record linkage methods.
Steorts (2015), Bayesian Analysis
head(italy08) dim(italy08)head(italy08) dim(italy08)
The 2008 survey on covered 13,702 Italian Survey on Household and Wealth covering individuals.
italy10italy10
A data frame with 11 variables: parent, sex, anasc, nascreg, ' cit, acom4c, studio, codeq, codequal, codesett, codeireg. There is an additional variable id that is the unique identifier for the data set.
Common models
This data set has one year's worth of data. This data set joined with another year's worth of is appropriate for performing various types of record linkage and can be assessed by standard record linkage methods.
Steorts (2015), Bayesian Analysis
head(italy10) dim(italy10)head(italy10) dim(italy10)