4 papers
The Limits of Experimental Design: Covariate Balance Beyond Low Dimension
Max Cytrynbaum
We study how fast experimental designs can approach the semiparametric efficiency bound in finite samples, as measured by the excess variance of unadjusted treatment effect estimat…
Coupling Designs for Randomized Experiments with Complex Treatments
Max Cytrynbaum, Fredrik Sävje
We describe a new family of experimental designs that extends the principle of stratified randomization to settings with continuous, constrained multivariate, and other irregular t…
Finely Stratified Rerandomization Designs
Max Cytrynbaum
Finely stratified randomization makes unadjusted treatment effect estimation efficient when matches are tight. However, match quality deteriorates rapidly as covariate dimension in…
Blocked Clusterwise Regression
Max Cytrynbaum
A recent literature in econometrics models unobserved cross-sectional heterogeneity in panel data by assigning each cross-sectional unit a one-dimensional, discrete latent type. Su…