Description acceptable. This status is assigned to those strictly above a cutoff in sharp regression discontinuity designs for the “quasi” form of one process. For 10 points each:
[10h] Describe this status. Guido Imbens and Joshua Angrist developed a “local average effect” to filter out cases of those given this status who do not comply.
ANSWER: being in the treatment group [accept equivalents like receiving an intervention or being in the experimental group; accept Local Average Treatment Effect]
[10e] Treatments that correlate with the error can be mitigated using “instrumental” ones of these things. Regression is used to find the relationship between these things’ “dependent” and “independent” types.
ANSWER: variables [accept independent variables or dependent variables; accept instrumental variables]
[10m] This process is used on propensity scores of subjects in treatment and control groups to reduce confounding. A type of blocking design partly named for this process assigns paired subjects to different groups.
ANSWER: matching [accept matched-pairs design; accept propensity score matching]
<Editors, Social Science>