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多項ロジスティック回帰×空間的相互作用(重力)モデル×
分野計量経済学空間分析
系統Regression modelRegression model
提唱年19741971
提唱者McFaddenAlan Wilson (entropy-maximizing family)
種類Multinomial logistic regressionModel of flows between spatial origins and destinations
原典McFadden, D. (1974). Conditional Logit Analysis of Qualitative Choice Behavior. In P. Zarembka (Ed.), Frontiers in Econometrics (pp. 105-142). Academic Press. ISBN: 978-0127761503Wilson, A. G. (1971). A family of spatial interaction models, and associated developments. Environment and Planning A, 3(1), 1–32. DOI ↗
別名multinomial logistic regression, polytomous logistic regression, softmax regression, Çok Kategorili Lojistik Regresyongravity model, spatial interaction model, competing destinations model, mekânsal etkileşim modeli
関連54
概要Multinomial logistic regression is a maximum-likelihood method for a nominal (unordered) dependent variable with more than two categories. Building on McFadden's 1974 treatment of qualitative choice, it gives each category its own set of coefficients relative to a reference category.Spatial interaction models predict the volume of flows — migrants, commuters, shoppers, trade, trips — between origins and destinations as a function of the size of each place and the distance or cost separating them. By analogy to Newton's gravity, interaction rises with the 'mass' of origin and destination and falls with separation, and Wilson's 1971 entropy-maximizing family put these models on a rigorous footing for transport, migration, and retail analysis.
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ScholarGate手法を比較: Multinomial Logit · Spatial Interaction Model. 2026-06-15に以下より取得 https://scholargate.app/ja/compare