Showing 1 - 10 of 7,993
We develop non-parametric instrumental variable estimation and inferential theory for econometric models with possibly …
Persistent link: https://www.econbiz.de/10012670874
in the presence of regressor endogeneity which may arise as a result of simultaneity, omitted variables, or measurement …
Persistent link: https://www.econbiz.de/10014547828
A slanted-L curve is well-suited to represent the non-linearity of the celebrated Phillips curve. We show this using cross-country data of major industrialized economies since 2009, including the inflationary surge of the 2020s. At high unemployment rates, an increase in demand reduces...
Persistent link: https://www.econbiz.de/10014494995
Persistent link: https://www.econbiz.de/10010316265
This note argues that nonparametric regression not only relaxes functional form assumptions vis-a-vis parametric regression, but that it also permits endogenous control variables. To control for selection bias or to make an exclusion restriction in instrumental variables regression valid,...
Persistent link: https://www.econbiz.de/10010268065
This paper analyzes the identifying power of weak convexity assumptions in treatment effect models with endogenous selection. The counterfactual distributions are constrained either in terms of the response function, or conditional on the realized treatment, and sharp bounds on the potential...
Persistent link: https://www.econbiz.de/10010315574
The paper studies the partial identifying power of structural single equation threshold crossing models for binary responses when explanatory variables may be endogenous. The paper derives the sharp identified set of threshold functions for the case in which explanatory variables are discrete...
Persistent link: https://www.econbiz.de/10010288364
This paper studies single equation instrumental variable models of ordered choice in which explanatory variables may be endogenous. The models are weakly restrictive, leaving unspecified the mechanism that generates endogenous variables. These incomplete models are set, not point, identifying...
Persistent link: https://www.econbiz.de/10010288410
Single equation instrumental variable models for discrete outcomes are shown to be set not point identifying for the structural functions that deliver the values of the discrete outcome. Identified sets are derived for a general nonparametric model and sharp set identification is demonstrated....
Persistent link: https://www.econbiz.de/10010288441
We solve a class of identification problems for nonparametric and semiparametric models when the endogenous covariate is discrete with unbounded support. Then we proceed with an approach that resolves a polynomial basis problem for the above class of discrete distributions, and for the...
Persistent link: https://www.econbiz.de/10010500201