Under What Assumptions Do Site-by-Treatment Instruments Identify Average Causal Effects?

By Sean F. Reardon, Stephen Raudenbush. 2013

50 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Statistics and Probability

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Luke W. Miratrix
2. Avi Feller
3. Lindsay C. Page
4. Stephen Raudenbush
5. Sean F. Reardon
6. Todd Grindal
7. Ann Owens

In Statistics and Probability

1. Sean F. Reardon
2. Takako Nomi
3. Luke W. Miratrix
4. Avi Feller
5. Lindsay C. Page
6. Stephen Raudenbush
7. Todd Grindal
8. Guido W. Imbens

Citations in the corpus

• Statistical Analysis for Multisite Trials Using Instrumental Variables With Random Coefficients (2012, background): “Reardon and Raudenbush (2011) derived the required assumptions for using site-specific instruments to identify the impacts of multiple mediators.”
• Compared to what? Variation in the impacts of early childhood education by alternative care type (2016, background): “See Raudenbush, Reardon and Nomi (2012) and Reardon and Raudenbush (2013) for further discussion of this issue. to a different choice of outcome; Kline and Walters (2016) estimate impacts on an index of outcomes, while we focus on PPVT alone.9 7.2.”