Abstract

The paper investigates the influence of different model specifications for interpreting the results of discrete choice experiments when investigating heterogeneous public landscape preferences. Comparing model specifications based on the Mixed Multinomial Logit and the Generalized Multinomial Logit Model reveals that the parameter estimates appear qualitatively comparable. Still, a more in-depth investigation of the conditional estimate distributions of the sample show that parameter interactions in the Generalized Multinomial Logit Model lead to different interpretations compared to the Mixed Multinomial Logit Model. This highlights the potential impact of common model specifications in the results in landscape preference studies.

Keywords

discrete choice experiment; public landscape prefer-ences; livestock; Mixed Multinomial Logit Model; Generalized Multinomial Mixed Logit Model

Published in

German journal of agricultural economics
2021, volume: 70, number: 3, pages: 182-191

Authors' information