Accounting for Spatial Heterogeneity of Preferences in Discrete Choice Models

• Autorzy: Wiktor Budziński , Mikołaj Czajkowski
• Języki publikacji: EN

Abstrakty

EN

There are reasons researchers may be interested in accounting for spatial heterogeneity of preferences, including avoiding model misspecification and the resulting bias, and deriving spatial maps of willingness-to-pay (WTP), which are relevant for policy-making and environmental management. We employ a Monte Carlo simulation of three econometric approaches to account for spatial preference heterogeneity in discrete choice models. The first is based on the analysis of individual-specific estimates of the mixed logit model. The second extends this model to explicitly account for spatial autocorrelation of random parameters, instead of simply conditioning individual-specific estimates on population-level distributions and individuals' choices. The third is the geographically weighted multinomial logit model, which incorporates spatial dimensions using geographical weights to estimate location-specific choice models. We analyze the performance of these methods in recovering population-, region- and individual-level preference parameter estimates and implied WTP in the case of spatial preference heterogeneity. We find that, although ignoring spatial preference heterogeneity did not significantly bias population-level results of the simple mixed logit model, neither individual-specific estimates nor the geographically weighted multinomial logit model was able to reliably recover the true region- and individual-specific parameters. We show that the spatial mixed logit proposed in this study is promising and outline possibilities for future development. (original abstract)

Słowa kluczowe

PL

Modele wyboru; Preferencje; Nieobserwowalna heterogeniczność; Metoda gotowości do płacenia

EN

Models of choice; Preferences; Unobserved heterogeneity; Willingness to pay (WTP)

• Czasopismo: Central European Journal of Economic Modelling and Econometrics (CEJEME)
• Rocznik: 2021
• Tom: 13
• Numer: nr 1
• Strony: 1-24

Twórcy

autor

Wiktor Budziński

• University of Warsaw

autor

Mikołaj Czajkowski

• University of Warsaw

Bibliografia

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Identyfikatory

DOI

10.24425/cejeme.2021.136456