Results 221 to 230 of about 109,310 (329)

Rank‐based estimation of propensity score weights via subclassification

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Propensity score (PS) weighting estimators are widely used for causal effect estimation and enjoy desirable theoretical properties, such as consistency and potential efficiency under correct model specification. However, their performance can degrade in practice due to sensitivity to PS model misspecification.
Linbo Wang   +3 more
wiley   +1 more source

Partial identification with categorical data and nonignorable missing outcomes

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Nonignorable missing outcomes are common in real‐world datasets and often require strong parametric assumptions to achieve identification. These assumptions can be implausible or untestable, and so we may wish to forgo them in favour of partially identified models that narrow the set of a priori possible values to an identification region.
Daniel Daly‐Grafstein, Paul Gustafson
wiley   +1 more source

ESG Performance Evolution in Retail: A Systematic Review and Meta‐Analysis

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Environmental, social, and governance (ESG) practices have transformed from peripheral corporate social responsibility initiatives into core strategic imperatives in retail. Despite growing interest, the literature remains fragmented across disciplines and geographic contexts, with no comprehensive sector‐specific analysis examining the ...
Jiyeon Kim, Wooyoung Yang
wiley   +1 more source

Truth‐telling in the Australian Curriculum

open access: yesThe Curriculum Journal, EarlyView.
Abstract Unlike Canada and South Africa, Australia has not completed a national Truth‐telling of First Nations histories. As a consequence, the curriculum is at risk of excluding Truth‐telling, leading to indoctrination of past injustices as part of school learning.
Glenn Auld   +29 more
wiley   +1 more source

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