We develop non-parametric instrumental variable estimation and inferential theory for econometric models with possibly endogenous regressors whose coefficients can vary over time either deterministically or stochastically, and the time-varying and uniform versions of the standard Hausman exogeneity test. After deriving the asymptotic properties of the proposed procedures, we assess their finite sample performance by means of a set of Monte Carlo experiments, and illustrate their application by means of an empirical example on the Phillips curve
In this paper we examine the finite sample performance of two estimators one developed by Blundell, ...
This paper develops a general theory of instrumental variables (IV) estimation that allows for both ...
In many empirical studies, researchers seek to estimate causal relationships using instrumen-tal var...
We develop non-parametric instrumental variable estimation and inferential theory for econometric mo...
Instrumental variable estimation has a long history in econometrics. The first contributions took pl...
International audienceFor static panel data models that include endogenous time-invariant variables ...
For static panel data models that include endogenous time-invariant variables corre- lated with indi...
This paper gives a survey of econometric models characterized by a relation between observable and u...
This paper studies the asymptotic properties of instrumental variable (IV) estimates of multivariate...
This paper gives a survey of econometric models characterized by a re-lation between observable and ...
This paper studies the asymptotic properties of instrumental variable (IV) estimates of multivariate...
This PhD thesis focuses on instrumental variable models. Often, econometric models are based on orth...
This paper presents a test for exogeneity of explanatory variables in a nonparametric instrumental v...
We consider estimation of parameters in a regression model in which the endogenous re-gressors are j...
Instrumental variables are widely used in applied statistics and econometrics to achieve identificat...
In this paper we examine the finite sample performance of two estimators one developed by Blundell, ...
This paper develops a general theory of instrumental variables (IV) estimation that allows for both ...
In many empirical studies, researchers seek to estimate causal relationships using instrumen-tal var...
We develop non-parametric instrumental variable estimation and inferential theory for econometric mo...
Instrumental variable estimation has a long history in econometrics. The first contributions took pl...
International audienceFor static panel data models that include endogenous time-invariant variables ...
For static panel data models that include endogenous time-invariant variables corre- lated with indi...
This paper gives a survey of econometric models characterized by a relation between observable and u...
This paper studies the asymptotic properties of instrumental variable (IV) estimates of multivariate...
This paper gives a survey of econometric models characterized by a re-lation between observable and ...
This paper studies the asymptotic properties of instrumental variable (IV) estimates of multivariate...
This PhD thesis focuses on instrumental variable models. Often, econometric models are based on orth...
This paper presents a test for exogeneity of explanatory variables in a nonparametric instrumental v...
We consider estimation of parameters in a regression model in which the endogenous re-gressors are j...
Instrumental variables are widely used in applied statistics and econometrics to achieve identificat...
In this paper we examine the finite sample performance of two estimators one developed by Blundell, ...
This paper develops a general theory of instrumental variables (IV) estimation that allows for both ...
In many empirical studies, researchers seek to estimate causal relationships using instrumen-tal var...