Extending theL1-IV approach proposed by Sakata (1997, 2007), we develop a new method, named the ρτ-IV estimation, to estimate structural equations based on the conditional quantile restriction imposed on the error terms. We study the asymptotic behavior of the proposed estimator and show how to make statistical inferences on the regression parameters. Given practical importance of weak identification, a highlight of the paper is a proposal of a test robust to the weak identification. The statistics used in our method can be viewed as a natural counterpart of the Anderson and Rubin’s (1949) statistic in the ρτ-IV estimation. 1
Abstract We consider models defined by a set of moment restrictions that may be subject to weak iden...
This paper estimates a class of models which satisfy a monotonicity condition on the conditional qua...
Cragg and Donald (1996) have pointed out that the asymptotic size of tests for overidentifying restr...
Extending the L1-IV approach proposed by Sakata (1997, 2007), we develop a new method, named the $rh...
The possibility that a structural equation may not be identified casts doubt on measures of estimato...
In the context of the single structural equation model, we derive a number of exact results that ext...
The first chapter proposes an alternative (`dual regression') to the quantile regression process for...
For a linear IV regression, we propose two new inference procedures on parameters of endogenous vari...
We revisit the exact properties of two-stage least squares and limited information maximum likelihoo...
In an unnormalised structural equation only the direction of the coefficient vector is determined. A...
In econometrics there are many occasions where knowledge of the structural relationship among depend...
Abstract. Two classes of quantile regression estimation methods for the recursive structural equatio...
This paper introduces structural equations that do not satisfy the rank and/or order condition(s) fo...
For a linear IV regression, we propose two new inference procedures on parameters of endogenous vari...
Weak nonparametric restrictions are developed, sufficient to identify the values of derivatives of s...
Abstract We consider models defined by a set of moment restrictions that may be subject to weak iden...
This paper estimates a class of models which satisfy a monotonicity condition on the conditional qua...
Cragg and Donald (1996) have pointed out that the asymptotic size of tests for overidentifying restr...
Extending the L1-IV approach proposed by Sakata (1997, 2007), we develop a new method, named the $rh...
The possibility that a structural equation may not be identified casts doubt on measures of estimato...
In the context of the single structural equation model, we derive a number of exact results that ext...
The first chapter proposes an alternative (`dual regression') to the quantile regression process for...
For a linear IV regression, we propose two new inference procedures on parameters of endogenous vari...
We revisit the exact properties of two-stage least squares and limited information maximum likelihoo...
In an unnormalised structural equation only the direction of the coefficient vector is determined. A...
In econometrics there are many occasions where knowledge of the structural relationship among depend...
Abstract. Two classes of quantile regression estimation methods for the recursive structural equatio...
This paper introduces structural equations that do not satisfy the rank and/or order condition(s) fo...
For a linear IV regression, we propose two new inference procedures on parameters of endogenous vari...
Weak nonparametric restrictions are developed, sufficient to identify the values of derivatives of s...
Abstract We consider models defined by a set of moment restrictions that may be subject to weak iden...
This paper estimates a class of models which satisfy a monotonicity condition on the conditional qua...
Cragg and Donald (1996) have pointed out that the asymptotic size of tests for overidentifying restr...