Summary and Info
This book introduces a new generation of statistical econometrics. After linear models leading to analytical expressions for estimators, and non-linear models using numerical optimization algorithms, the availability of high- speed computing has enabled econometricians to consider econometric models without simple analytical expressions. The previous difficulties presented by the presence of integrals of large dimensions in the probability density functions or in the moments can be circumvented by a simulation-based approach.
More About the Author
Christian Gouriéroux (born 1949) is an econometrician who holds a Doctor of Philosophy in mathematics from the University of Rouen.
Review and Comments
Rate the Book
Simulation-based econometric methods 0 out of 5 stars based on 0 ratings.