We show that a standard linear triangular two equation system can be point identified, without the use of instruments or any other side information. We find that the only case where the model is not point identified is when a latent variable that causes endogeneity is normally distributed. In this non-identified case, we derive the sharp identified set. We apply our results to Acemoglu and Johnson’s (2007) model of life expectancy and GDP, obtaining point identification and comparable estimates to theirs, without using their (or any other) instrument.</p
In Chapter 1, I extend the techniques in Li and Vuong (1998), Schennach (2004a), and Bonhomme and Ro...
This paper considers identification in parametric and nonparametric models, with additive or nonaddi...
Suppose we observe only a dependent variable Y, a mismeasured X (with unobserved true value X∗), and...
This paper uses control variables to identify and estimate models with nonseparable, multidimensiona...
This paper is about identification and estimation in a triangular nonparametric structural model wit...
When one wants to estimate a model without specifying the functions and distributions parametrically...
I consider nonparametric identification of a nonseparable model with a continuous endogenous variabl...
The problem of identification is defined in terms of the possibility of characterizing parameters of...
This paper provides a new simple and computationally tractable method for determining an identified ...
This paper provides a new simple and computationally tractable method for determining an identified ...
LetH0(X) be a function that can be nonparametrically estimated. Suppose E [Y |X] = F0[X⊤β0, H0(X)]....
We consider a model in which an outcome depends on two discrete treatment variables, where one treat...
This paper studies single equation models for binary outcomes incorporating instrumental variable re...
This paper provides a control function estimator to adjust for endogeneity in the triangular simulta...
This note derives primitive conditions for global identification in nonlinear simultaneous equations...
In Chapter 1, I extend the techniques in Li and Vuong (1998), Schennach (2004a), and Bonhomme and Ro...
This paper considers identification in parametric and nonparametric models, with additive or nonaddi...
Suppose we observe only a dependent variable Y, a mismeasured X (with unobserved true value X∗), and...
This paper uses control variables to identify and estimate models with nonseparable, multidimensiona...
This paper is about identification and estimation in a triangular nonparametric structural model wit...
When one wants to estimate a model without specifying the functions and distributions parametrically...
I consider nonparametric identification of a nonseparable model with a continuous endogenous variabl...
The problem of identification is defined in terms of the possibility of characterizing parameters of...
This paper provides a new simple and computationally tractable method for determining an identified ...
This paper provides a new simple and computationally tractable method for determining an identified ...
LetH0(X) be a function that can be nonparametrically estimated. Suppose E [Y |X] = F0[X⊤β0, H0(X)]....
We consider a model in which an outcome depends on two discrete treatment variables, where one treat...
This paper studies single equation models for binary outcomes incorporating instrumental variable re...
This paper provides a control function estimator to adjust for endogeneity in the triangular simulta...
This note derives primitive conditions for global identification in nonlinear simultaneous equations...
In Chapter 1, I extend the techniques in Li and Vuong (1998), Schennach (2004a), and Bonhomme and Ro...
This paper considers identification in parametric and nonparametric models, with additive or nonaddi...
Suppose we observe only a dependent variable Y, a mismeasured X (with unobserved true value X∗), and...