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- Missing Data Methods
Missing Data Methods
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Contains 16 chapters authored by specialists in the field, covering topics such as: Missing-Data Imputation in Nonstationary Panel Data Models, Markov Switching Models in Empirical Finance, Bayesian Analysis of Multivariate Sample Selection Models Using Gaussian Copulas, and, Consistent Estimation and Orthogonality.
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