6 citations · 11 across the 6 of their papers we have counts for
6 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…
Covariate Adjustment in Stratified Experiments
Max Cytrynbaum
This paper studies covariate adjusted estimation of the average treatment effect in stratified experiments. We work in a general framework that includes matched tuples designs, coa…
Fine Stratification of Survey Experiments
Max Cytrynbaum
This paper studies a two-stage model of experimentation, where the researcher first samples representative experimental participants from an eligible pool, then assigns each sample…
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…