Max Tabord‐Meehan
Biographic Data
| ID | 9107537 |
|---|---|
| NAME | Max Tabord‐Meehan |
| GIVEN NAMES | Max |
| FAMILY NAME | Tabord‐Meehan |
| SIGNATURE | MEEHAN M T |
| AFFILIATIONS | Northwestern University |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Inference in Experiments with Matched Pairs and Imperfect Compliance
This paper studies inference for the local average treatment effect in randomized controlled trials with imperfect compliance where treatment status is determined according to “matched pairs.” By “matched pairs,” we mean that units are sampled i.i.d. from the population of interest, paired according to observed, baseline covariates and finally, within each pair, one unit is selected at random for treatment. Under weak assumptions governing the qu…
Revisiting the analysis of matched‐pair and stratified experiments in the presence of attrition
In this paper, we revisit some common recommendations regarding the analysis of matched‐pair and stratified experimental designs in the presence of attrition. Our main objective is to clarify a number of well‐known claims about the practice of dropping pairs with an attrited unit when analyzing matched‐pair designs. Contradictory advice appears in the literature about whether or not dropping pairs is beneficial or harmful, and stratifying into la…
Inference With Dyadic Data
This article is concerned with inference in the linear model with dyadic data. Dyadic data are indexed by pairs of “units;” for example, trade data between pairs of countries. Because of the potential for observations with a unit in common to be correlated, standard inference procedures may not perform as expected. We establish a range of conditions under which a t-statistic with the dyadic-robust variance estimator of Fafchamps and Gubert is asy…
No prominent works on this page.
Inference With Dyadic Data
This article is concerned with inference in the linear model with dyadic data. Dyadic data are indexed by pairs of “units;” for example, trade data between pairs of countries. Because of the potential for observations with a unit in common to be correlated, standard inference procedures may not perform as expected. We establish a range of conditions under which a t-statistic with the dyadic-robust variance estimator of Fafchamps and Gubert is asy…
Revisiting the analysis of matched‐pair and stratified experiments in the presence of attrition
In this paper, we revisit some common recommendations regarding the analysis of matched‐pair and stratified experimental designs in the presence of attrition. Our main objective is to clarify a number of well‐known claims about the practice of dropping pairs with an attrited unit when analyzing matched‐pair designs. Contradictory advice appears in the literature about whether or not dropping pairs is beneficial or harmful, and stratifying into la…
Inference in Experiments with Matched Pairs and Imperfect Compliance
This paper studies inference for the local average treatment effect in randomized controlled trials with imperfect compliance where treatment status is determined according to “matched pairs.” By “matched pairs,” we mean that units are sampled i.i.d. from the population of interest, paired according to observed, baseline covariates and finally, within each pair, one unit is selected at random for treatment. Under weak assumptions governing the qu…
Computer Science (3 works) · Econometrics (3 works) · Mathematics (3 works) · Advanced Causal Inference Techniques (2 works) · Artificial Intelligence (2 works) · Estimator (2 works) · Inference (2 works) · Statistics (2 works) · Advanced Statistical Methods and Models (1 work) · Applied Mathematics (1 work)