From:
Regression Discontinuity Designs in Economics
David S. Lee and Thomas Lemieux*Journal of Economic
Literature 48 (June 2010): 281–355
RD as a weighted average treatment effect
“In the presence of heterogeneous treatment effects, the discontinuity gap in an RD design can be interpreted as a weighted average treatment effect across all individuals"
“In the presence of heterogeneous treatment effects, the discontinuity gap in an RD design can be interpreted as a weighted average treatment effect across all individuals"
RD ‘as good as’ random
assignment
“the notion that the RD design generates local variation in treatment that is “as good as randomly assigned” is helpful because we can apply known results for randomized instruments to the RD design"
“the notion that the RD design generates local variation in treatment that is “as good as randomly assigned” is helpful because we can apply known results for randomized instruments to the RD design"
Fuzzy
RD and ‘intent-to-treat’ analysis
“ the fuzzy RD design can be described by the two equation system… estimating the treatment effect by instrumenting the treatment dummy…In this setting, (the estimate)can be interpreted as an “intent-to-treat” effect”
“ the fuzzy RD design can be described by the two equation system… estimating the treatment effect by instrumenting the treatment dummy…In this setting, (the estimate)can be interpreted as an “intent-to-treat” effect”
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