Search results for "tobit model"
showing 3 items of 13 documents
Social Embeddedness in Farmers Decision Making
2014
Reciprocal interactions among farmers and consumers can be seen as the central point of market exchanges in Civic Agriculture (CAs). This work exploits the concept of social embeddedness as a conceptual tool for describing some phenomena related to CA. Social embeddedness concept might help to understand how consumers and producers behave in the market beyond the paradigm of neoclassical economics theory. The objective of this study is to empirically evaluate which attitudes may influence farmers decision to participate to several types of CAs. Our results confirm the strong role of social embeddedness phenomenon in those forms of CAs characterized by personal relations between farmers and …
Centile estimation for a proportion response variable
2015
This paper introduces two general models for computing centiles when the response variable Y can take values between 0 and 1, inclusive of 0 or 1. The models developed are more flexible alternatives to the beta inflated distribution. The first proposed model employs a flexible four parameter logit skew Student t (logitSST) distribution to model the response variable Y on the unit interval (0, 1), excluding 0 and 1. This model is then extended to the inflated logitSST distribution for Y on the unit interval, including 1. The second model developed in this paper is a generalised Tobit model for Y on the unit interval, including 1. Applying these two models to (1-Y) rather than Y enables model…
Centile estimation for a proportion response variable.
2015
This paper introduces two general models for computing centiles when the response variable Y can take values between 0 and 1, inclusive of 0 or 1. The models developed are more flexible alternatives to the beta inflated distribution. The first proposed model employs a flexible four parameter logit skew Student t (logitSST) distribution to model the response variable Y on the unit interval (0, 1), excluding 0 and 1. This model is then extended to the inflated logitSST distribution for Y on the unit interval, including 1. The second model developed in this paper is a generalised Tobit model for Y on the unit interval, including 1. Applying these two models to (1-Y) rather than Y enables model…