sampleP: A probabilistic sample

In NonProbEst: Estimation in Nonprobability Sampling

Description

A dataset of 500 individuals extracted with simple random sampling from a simulated fictitious population of 50,000 individuals. Further details on the generation of the dataset can be found in Ferri-García and Rueda (2018). The variables present in the dataset are the following:

• education_primaria. A binary variable indicating if the highest academic level achieved by the individual is Primary Education.

• education_secundaria. A binary variable indicating if the highest academic level achieved by the individual is Secondary Education.

• education_terciaria. A binary variable indicating if the highest academic level achieved by the individual is Tertiary Education.

• age. A numeric variable, with values ranging from 18 to 100, indicating the age of the individual.

• sex. A binary variable indicating if the individual is a man.

Usage

sampleP

Format

An object of class data.frame with 500 rows and 5 columns.

References

Ferri-García, R., & Rueda, M. (2018). Efficiency of propensity score adjustment and calibration on the estimation from non-probabilistic online surveys. SORT-Statistics and Operations Research Transactions, 1(2), 159-162.

NonProbEst documentation built on July 1, 2020, 6:08 p.m.