Neural model identification, variable selection and model adequacy

Article Abstract:

A study has been conducted to describe a methodology for neural model identification which facilitates hypothesis for both model adequacy and variable significance. The study also describes a model selection procedure to produce consistent estimators. The devised model selection procedure's performance has been evaluated using a real problem drawn from tactical asset allocation and the results were compared using regression analysis. Findings indicated the presence of non-linear relationships in modelling the equity premium.

Electronic computers, Electronic Computer Manufacturing, Artificial Intelligence Systems, Financial Management NEC, Usage, Computer networks, Case studies, Portfolio management, Neural networks, Artificial intelligence, Financial management, Regression analysis

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Medicaid and the cost of improving access to nursing home care

Article Abstract:

Elasticities of Medicaid spending with respect to rate of return, of access with respect to Medicaid spending and of access with respect to quality are derived to quantify the trade-off between raising rate of return and lowering nursing home quality. It is revealed that raising rate of return for Medicaid patients' care can improve access to nursing home care.

Evaluation, Medicaid, Nursing home care

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