ノームからの休憩? 健康における離散選択モデルの好みの異質性に関するパラメトリック表現
John Buckell1, Alice Wreford2, Matthew Quaife3
1Nuffield Department of Population Health, University of Oxford, Oxford, UK.
まとめ
健康モデラーは,離散選択モデルの好みの異質性のために通常分布を使用します. 代替分布とモデル平均はモデルフィットを改善し,好みの分布をより正確に捉えます.
科学分野:
- 健康 経済
- 経済学
- 行動科学
背景:
- 個人の好みを分析するものです
- 混合ロジットモデルは,好みの異質性のために健康経済学の標準です.
- 現在の慣行では,これらのモデルは通常分布に依存しています.
研究 の 目的:
- 混合ロギットモデルにおける代替分布仮定の影響を評価する.
- 標準正規分布を他のパラメータ仕様と比較する.
- 偏好の異質性に対するモデル平均の利点を評価する.
主な方法:
- 医療における混合ロジットのモデリングのスコーピングレビュー
- 7つの代替分布とモデル平均の比較
- 4つのデータセットの分析: 既定の好み,明らかにした好み,シミュレーション.
- モデルフィット,好み分布,支払意向,予測の評価
主要な成果:
- 代替分布仮定は標準正規分布を大幅に上回った.
- 偏好分布と支払意向はモデルによって大きく異なっていた.
- モデル平均はより大きな柔軟性,フィット感を高め,選択バイアスを軽減しました.
- 分布の仮定はモデル予測に影響を与えなかった.
結論:
- 偏好の異質性を捉えるために,通常の分布を使用する標準的な慣行は最適ではありません.
- 研究者は通常の仮定を超えた代替分布を探求すべきである.
- モデルの平均化は,健康経済学の強固な好み分析のための貴重なアプローチです.
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