Missing observations in dependent variables is a common feature of many financial applications. Standard ad hoc missing value imputation methods invariably fail to deliver efficient and unbiased parameter estimates. A number of recently developed classical and Bayesian iterative methods are...

Missing observations in dependent variables is a common feature of many financial applications. Standard ad hoc missing value imputation methods invariably fail to deliver efficient and unbiased parameter estimates. A number of recently developed classical and Bayesian iterative methods are...

Incomplete observations are a common feature of financial applications that use survey response, annual report, and proprietary banking and security issue and pricing data. Finance researchers use a variety of procedures, including deleting offending observations and imputing ad hoc values, that...

Incomplete observations are a common feature of financial applications that use survey response, annual report, and proprietary banking and security issue and pricing data. Finance researchers use a variety of procedures, including deleting offending observations and imputing ad hoc values, that...