| NCDS {PSweight} | R Documentation |
Illustrative dataset for PSweight
Description
This is a real observational study with binary and multiple treatment groups to illustrate the utility of PSweight functions.
Usage
data(NCDS)
Format
A data frame with 3642 rows and 16 columns.
Details
An dataset from the National Child Development Survey (NCDS) of the United Kingdom (UK). This dataset is obtained through the CC0 waiver from the work by Battistin and Sianesi (2011). For illustration, missing entries are imputed once with Multiple Imputation by Chained Equations (MICE).
This data frame contains the following columns:
white: self-identified as white.
wage: gross hourly wage in pound in log scale.
Dany: whether received any education before.
Dmult: three levels of educational attainment.
maemp: employment status of mother.
scht: school type.
qmab: math score at age 7.
qmab2: math score at age 11.
qvab: reading score at age 7.
qvab2: reading score at age 11.
paed_u: father's years of education.
maed_u: mother's years of education.
age_pa: age of father.
age_ma: age of mother.
sub_u: number of siblings.
wagebin: dichotomized wage obtained with a cutoff of average hourly wage.
References
https://cls.ucl.ac.uk/cls-studies/1958-national-child-development-study/
Battistin E, Sianesi B. (2011). Misclassified Treatment Status and Treatment Effects: an Application to Returns to Education in the United Kindom. Review of Economics and Statistics, 93(2), 495-509.
Battistin E, Sianesi B. (2012). Replication data for: Misclassified Treatment Status and Treatment Effects: an Application to Returns to Education in the United Kindom. URL https://doi.org.10.7910/DVN/EPCYUL.
Examples
data("NCDS")