AngristLavy


  Angrist and Lavy (1999) data set used by Rosenbaum (2010) to
  demonstrate his instrumental variable sensitivity analysis.


datasets

Takes matched and unmatched data and calculates Rosenbaum bounds for the treatment effect.  Calculates bounds for binary outcome data, Hodges-Lehmann point estimates, Wilcoxon signed-rank test for matched data and matched IV estimators, Wilcoxon sum rank test, and for data with multiple matched controls. Package is also designed to work with the Matching package and operate on Match() objects.

Luke Keele

rbounds

Perform Rosenbaum bounds sensitivity tests for matched and
unmatched data.

AngristLavy function

A <code>data.frame</code> with 318 observations on the following 5 variables). enrollment: Enrolled number of students in each cohort pct_disadv: Percentage of students that are economically disadvantaged. classsize: Size of class or classes for each cohort. avgmath: Average math test score for each class. z: A recode of enrollment with 1 indicating a cohort with 41 or more students, i.e. two classes. 
This serves as the instrument which encourages smaller classes. 

Format

Angrist, Joshua and Lavy, Victor (1999). ``Using Maimonides' Rule to
  Estimate the Effect of Class Size on Scholastic
  Achievement.'' <em>Quarterly Journal of Economics</em> 114, 533--575. Rosenbaum, Paul R. (2010). <em>Design of Observational Studies</em>.
  Springer-Verlag.

AngristLavy: Angrist and Lavy (1999) Maimonides' Rule Data Set

Description

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References