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Estimation of Generalized Entropy and Atkinson Inequality Indices from Complex Survey Data

Biewen, Martin; Jenkins, Stephen P. - 2003

inequality indices when estimated from complex survey data. It turns out that this method also greatly simpli?es the calculations …

Persistent link: https://www.econbiz.de/10010260665

Estimation of Generalized Entropy and Atkinson Inequality Indices from Complex Survey Data

Biewen, Martin; Jenkins, Stephen P. - 2003

inequality indices when estimated from complex survey data. It turns out that this method also greatly simplifies the …

Persistent link: https://www.econbiz.de/10010262721

Estimation of Generalized Entropy and Atkinson inequality indices from complex survey data

Biewen, Martin; Jenkins, Stephen - 2003 - This version: 11 April 2003

inequality indices when estimated from complex survey data. It turns out that this method also greatly simplifies the …

Persistent link: https://www.econbiz.de/10011438447

Estimation of Generalized Entropy and Atkinson Inequality Indices from Complex Survey Data

Biewen, Martin; Jenkins, Stephen P. - 2021

inequality indices when estimated from complex survey data. It turns out that this method also greatly simplifies the …

Persistent link: https://www.econbiz.de/10013319962

Practical and theoretical advances in inference for partially identified models

Canay, Ivan A.; Shaikh, Azeem M. - 2016

This paper surveys some of the recent literature on inference in partially identified models. After reviewing some basic concepts, including the definition of a partially identified model and the identified set, we turn our attention to the construction of confidence regions in partially...

Persistent link: https://www.econbiz.de/10011417422

Inference under covariate-adaptive randomization with multiple treatments

Bugni, Federico A.; Canay, Ivan A.; Shaikh, Azeem M. - 2017

This paper studies inference in randomized controlled trials with covariate-adaptive randomization when there are multiple treatments. More specifically, we study in this setting inference about the average effect of one or more treatments relative to other treatments or a control. As in Bugni...

Persistent link: https://www.econbiz.de/10011758009

A User's Guide to Inference in Models Defined by Moment Inequalities

Canay, Ivan A.; Illanes, Gastón; Velez, Amilcar - National Bureau of Economic Research - 2023

inference in moment inequality models is large and complex, including multiple survey papers that document the non … to help applied researchers navigate all the decisions required to frame a model as a moment inequality model and then to … decision model, (b) moving from the decision model to a moment inequality model, (c) choosing a test statistic and critical …

Persistent link: https://www.econbiz.de/10014247961

Approximate permutation tests and induced order statistics in the regression discontinuity design

Canay, Ivan A.; Kamat, Vishal - 2016

In the regression discontinuity design, it is common practice to asses the credibility of the design by testing whether the means of baseline covariates do not change at the cutoff (or threshold) of the running variable. This practice is partly motivated by the stronger implication derived by...

Persistent link: https://www.econbiz.de/10011522382

Approximate permutation tests and induced order statistics in the regression discontinuity design

Canay, Ivan A.; Kamat, Vishal - 2017

In the regression discontinuity design (RDD), it is common practice to asses the credibility of the design by testing whether the means of baseline covariates do not change at the cutoff (or threshold) of the running variable. This practice is partly motivated by the stronger implication derived...

Persistent link: https://www.econbiz.de/10011645890

Approximate permutation tests and induced order statistics in the regression discontinuity design

Canay, Ivan A.; Kamat, Vishal - 2015

This paper proposes an asymptotically valid permutation test for a testable implication of the identification assumption in the regression discontinuity design (RDD). Here, by testable implication, we mean the requirement that the distribution of observed baseline covariates should not change...

Persistent link: https://www.econbiz.de/10011282791