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Implications of Model Specification for Welfare Estimation in Nested Logit Models (The)

Catherine Louise Kling, Cynthia J. Thomson

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Abstract

Nested logit models are increasingly being used to value environmental amenities. The implications of nesting structure, choice of estimator (FIML or sequential), and restrictions on parameters across nested groups on welfare estimates are examined. These issues have received little previous attention. Model selection criteria that can be used to distinguish among the models are extended and applied. Additionally, a simulation procedure is implemented to construct standard errors for the welfare measures.

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What this paper is about

Nested logit models are increasingly being used to value environmental amenities. The implications of nesting structure, choice of estimator (FIML or sequential), and restrictions on parameters across nested groups on welfare estimates are examined. These issues have received little previous attention. Model selection criteria that can be used to distinguish among the models are extended and applied. Additionally, a simulation procedure is implemented to construct standard errors for the welfare measures.

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Available abstract

Nested logit models are increasingly being used to value environmental amenities. The implications of nesting structure, choice of estimator (FIML or sequential), and restrictions on parameters across nested groups on welfare estimates are examined. These issues have received little previous attention. Model selection criteria that can be used to distinguish among the models are extended and applied. Additionally, a simulation procedure is implemented to construct standard errors for the welfare measures.

Key concepts: Nested logit, Estimator, Econometrics, Welfare, Nested set model, Selection (genetic algorithm), Construct (python library), Model selection

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