provided ways to achieve identification of these primitive functions and distributions without imposing parametric restrictions … taken to develop nonparametric identification results in those models. …

models (e.g. for inflation, interest rates, or exchange rates) are subject to both parameter instability and identification … between them. Changes in identification strength provide an additional source of information that is used to improve …

In this article, we review quantile models with endogeneity. We focus on models that achieve identification through the … use of instrumental variables and discuss conditions under which partial and point identification are obtained. We discuss … the identification results of <xref ref-type="bibr" rid="B11">Chernozhukov & Hansen (2005). We illustrate the modeling …

. Conditioning on additional covariates, however, may be necessary for identification of these treatment effects. With conditional …

. We use tools from random set theory to study identification in such models and provide a sharp characterisation of the …

, distributed lags and vector autoregressions (VAR), quasi-experiments, and identification by heteroskedasticity (IH). Ultimately …

<I>m</I>+<I>r</I>, even though there is an issue of local non-identification that causes non-elliptical shapes of the …