English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The estimation of the causal effect of an endogenous treatment based on aninstrumental variable (IV) is often complicated by attrition, sample selection,or non-response in the outcome of interest. To tackle the latter problem, thelatent ignorability (LI) assumption imposes that attrition/sample selection isindependent of the outcome conditional on the treatment compliance type (i.e.how the treatment behaves as a function of the instrument), the instrument, andpossibly further observed covariates. As a word of caution, this note formallydiscusses the strong behavioral implications of LI in rather standard IVmodels. We also provide an empirical illustration based on the Job Corpsexperimental study, in which the sensitivity of the estimated program effect toLI and alternative assumptions about outcome attrition is investigated.

On the plausibility of the latent ignorability assumption