Copula Modeling explores the copula approach for econometrics
modeling of joint parametric distributions. Copula Modeling
demonstrates that practical implementation and estimation is
relatively straightforward despite the complexity of its
theoretical foundations. An attractive feature of parametrically
specific copulas is that estimation and inference are based on
standard maximum likelihood procedures. Thus, copulas can be
estimated using desktop econometric software. This offers a
substantial advantage of copulas over recently proposed
simulation-based approaches to joint modeling. Copulas are useful
in a variety of modeling situations including financial markets,
actuarial science, and microeconometrics modeling. Copula Modeling
provides practitioners and scholars with a useful guide to copula
modeling with a focus on estimation and misspecification. The
authors cover important theoretical foundations. Throughout, the
authors use Monte Carlo experiments and simulations to demonstrate
copula properties
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