Single equation models with limited dependent variables have received considerable attention in the econometrics literature, but little is known about the specification and estimation of simultaneous-equation models in which some or all endogenous variables are limited. The one relevant published paper by Amemiya [1974] considers a model in which all endogenous variables are truncated at zero, reveals certain necessary restrictions on the model, and suggests a method of estimation. But his model is not applicable to all situations and the merits of his estimation procedure are confined to consistency and tractability. Here we propose an alternative specification which may be more appropriate than Amemiya's for many problems and discuss a re...
Amemiya's generalized least squares method for the estimation of simultaneous equation models with ...
textabstractOne of the most important functions of a simultaneous equation model is prediction the v...
In simple static linear simultaneous equation models the empirical distributions ofIV and OLS are ex...
Single equation models with limited dependent variables have received considerable attention in the ...
This article introduces semiparametric methods for the estimation of simultaneous equation microe-co...
Estimation of simultaneous-equation, limited dependent variable models is considered. The minimum Ch...
A consistent two-step estimation procedure is proposed for a system of equations with limited depend...
This paper is a revision of an earlier version presented at the European Econometric Meetings, 198
In this paper various methods for the estimation of simultaneous equation models with lagged endogen...
In this research we develop an estimation methodology for a system of simultaneous equations where t...
Vita.Using Monte Carlo methods, this dissertation investigates the relative efficiency of alternativ...
Defence date: 31 January 2012Examining Board: Professor Richard Spady, Johns Hopkins University (Ext...
This paper considers identification in parametric and nonparametric models, with additive or nonaddi...
In the context of the single structural equation model, we derive a number of exact results that ext...
We compare four different estimation methods for a coefficient of a linear structural equation with ...
Amemiya's generalized least squares method for the estimation of simultaneous equation models with ...
textabstractOne of the most important functions of a simultaneous equation model is prediction the v...
In simple static linear simultaneous equation models the empirical distributions ofIV and OLS are ex...
Single equation models with limited dependent variables have received considerable attention in the ...
This article introduces semiparametric methods for the estimation of simultaneous equation microe-co...
Estimation of simultaneous-equation, limited dependent variable models is considered. The minimum Ch...
A consistent two-step estimation procedure is proposed for a system of equations with limited depend...
This paper is a revision of an earlier version presented at the European Econometric Meetings, 198
In this paper various methods for the estimation of simultaneous equation models with lagged endogen...
In this research we develop an estimation methodology for a system of simultaneous equations where t...
Vita.Using Monte Carlo methods, this dissertation investigates the relative efficiency of alternativ...
Defence date: 31 January 2012Examining Board: Professor Richard Spady, Johns Hopkins University (Ext...
This paper considers identification in parametric and nonparametric models, with additive or nonaddi...
In the context of the single structural equation model, we derive a number of exact results that ext...
We compare four different estimation methods for a coefficient of a linear structural equation with ...
Amemiya's generalized least squares method for the estimation of simultaneous equation models with ...
textabstractOne of the most important functions of a simultaneous equation model is prediction the v...
In simple static linear simultaneous equation models the empirical distributions ofIV and OLS are ex...