{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

Methods in Labor Economics

The rd design is generally regarded as having the

Info iconThis preview shows page 1. Sign up to view the full content.

View Full Document Right Arrow Icon
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: s generally regarded as having the greatest internal validity of all quasi‐experimental design o Its external validity is more limited, since the estimated treatment effect is local to the discontinuity. o But many instrumental variables (IV) estimators are also thought to estimate Local Average Treatment Effect (LATE) Fortin – Econ 560 Lecture 0 Regression Discontinuities Design (RDD) Basic Idea: Sometimes whether something happens to you or not depends on your ‘score’ on a particular variable e.g you get a scholarship if you get above a certain mark in an exam, you get given remedial education if you get below a certain level, a policy is implemented if it gets more than 50% of the vote in a ballot, your sentence for a criminal offence is higher if you are above a certain age (an ‘adult’) your welfare assistance payment increase if you are above a certain age All these are potential applications of the ‘regression discontinuity’ design RDDs abound once you looked for them because program resources often allocated based on a formula with a cut-off structure The idea was introduced in psychology by Thistlethwaite and Campbell (1960), but not widely used until the 1990s T&C were asking: What is the impact of National Merit Award on students’ success in obtaining additional college scholarships and their career aspirations? Fortin – Econ 560 Lecture 0 RDD: Award given to all students achieving a minimum score on a scholarship exam Assignment rule: Score ≥ Min Score Award; Score < Min Score No Award T&C noted that we could learn about the impact of award receipt for persons near the cut-off. Under certain comparability conditions, assignment near the cut-off can be seen as behaving as if random. o Treatment group = “just above” cut-off and received award o Control group = “just below” cut-off and did not receive award In a RDD, the assignment to the treatment is determined, either completely (sharp design) or partly (fuzzy design), by the value of an assignment (or forcing) variable (the covariate X) being on either side of a...
View Full Document

{[ snackBarMessage ]}