SIPP1996Analytic: The 1996 SIPP Analytic Data

In ltanecon/BayesImp: Bayesian Imputation Method

Description

Includes every person in the 1996 SIPP data born between 1936 to 1971. Zero income observations are excluded.

Usage

data("SIPP1996Analytic")

Format

A data frame with 334071 observations on the following 9 variables.

id

Vector of a unique longitudinal identifier for a survey unit across all waves.

wave

Vector of survey data collection periods.

weight

Vector of survey weight corrsponding to id.

bottom.threshold

Vector of income bottom-coding threshold corrsponding to id and wave.

top.threshold

Vector of income top-coding threshold corrsponding to id and wave.

income

Vector of income corrsponding to id and wave.

Type

A numeric vector indicates bottom/top-coding status of income. Type equals 0 if bottom-coded, equals 2 if top-coded, equals 1 if neither.

seq_id

A numeric vector indicates sequential id of the observation.

CPI

Vector of CPI corrsponding to wave.

Details

An output produced by processing the raw SIPP data with Format_Input.

Source

https://www.census.gov/sipp/

References

Tan, Li (2017), Imputing Top-Coded Income Data in Longitudinal Surveys, Working Paper. (link)

ltanecon/BayesImp documentation built on May 4, 2019, 4:22 p.m.