headstart: The Head Start dataset from Ludwig and Miller (2007)

In xhuang20/rdcqr: Local Composite Quantile Regression Method for Regression Discontinuity

Description

The Head Start policy dataset on the mortality rates for children

Usage

headstart

Format

A data frame with 3,103 rows and 2 variables:

mortality

the treatment outcome variable y, morality rates per 10,000 children between 5 and 9 years old between 1973-1983.

poverty

the covariate x, a county's poverty rate in 1960 relative to the 300th poorest county (59.198)

Details

Ludwig and Miller (2007) studies the impact of Head Start funding on children's schooling and health. This subset of their data focuses on the change in mortality rates for children due to the Head Start funding cutoff set by the Office of Economic Opportunities (OEF). Changes in morality rates near the funding cutoff can be used to identify the causal effect of such policy. We subtract the average poverty rate (59.198) from the poverty rate data so that the cutoff is 0 for treatment assignment. Each row in the data frame represents a county.

References

Ludwig, J. and D. L. MIller (2007) "Does Head Start improve children's life chances? Evidence from a regression discontinuity design," Quarterly Journal of Economics, 122 (1), 159-208.

xhuang20/rdcqr documentation built on July 1, 2021, 5:22 a.m.