Programming Identification Criteria in Simultaneous Equation Models

Errors in Variables in Simultaneous Equation Models

Optimal Significance Tests in Simultaneous Equation Models∗

Consider testing the null hypothesis that a single structural equation has specified coefficients. The alternative hypothesis is that the relevant part of the reduced form matrix has proper rank, that is, that the equation is identified. The usual linear model with normal disturbances is invariant with respect to linear transformations of the endogenous and of the exogenous variables. When the ...

Admissible Significance Tests in Simultaneous Equation Models ∗

Consider testing the null hypothesis that a single structural equation has specified coefficients. The alternative hypothesis is that the relevant part of the reduced form matrix has proper rank, that is, that the equation is identified. The usual linear model with normal disturbances is invariant with respect to linear transformations of the endogenous and of the exogenous variables. When the ...

Genetic Algorithms for Simultaneous Equation Models

Qualitative Evaluation Criteria for Parallel Programming Models

Programming parallel machines has always been difficult, but the new multicore reality has triggered significant research projects such as those part of the DARPA HPCS challenge that put forth programmer productivity as on par with performance. Since programming models are crucial in supporting the programming of parallel machines, this raises the question of how the PLDI community should evalu...