Logit Kernel is a discrete choice model that has both probit-like disturbances as well as an additive i.i.d. extreme value (or Gumbel) disturbance à la multinomial logit. The result is an intuitive, practical, and powerful model that combines the flexibility of probit (and more) with the tractability of logit. For this reason, logit kernel has been deemed the “model of the future” and is becomi...

This study explores the extent to which farmers in the Three Gorges Reservoir area remain highly dependent on agriculture despite rapid urbanization and industrialization. The study focuses on the factors that determine a household’s choice of livelihood strategy, with a particular focus on the production of and dependence on agricultural products. Using a sustainable livelihoods approach and s...

Although in Sweden the simultaneous use of forests for timber production and game hunting are both of socioeconomic importance it often leads to conflicting interests. This study examines forest stakeholder participation in improving game habitat to increase hunting opportunities as well as redistribute game activities in forests to help reduce browsing damage in valuable forest stands. The dat...

a r t i c l e i n f o Modeling of transportation mode choices has in the past primarily dealt with everyday short-distance travel and long-distance business travel. The present paper adds to this research in examining the long-distance transportation mode choices of tourists. The empirical setting is the domestic tourism market in Norway, and the analyses refer to Norwegians' winter vacation tr...

The change of economic circumstances in recent years has increased the gaps of credibility among firms, and the necessity to measure the credibility adequately is an important ever-increasing factor. As the result, it is essential for banks to assess the rating evaluation of borrowers appropriately in order to measure the amount of credit risk. This paper reviews preceding studies regarding mod...

In an individually matched case-control study, effects of potential risk factors are ascertained through conditional logistic regression (CLR). Extension of CLR to situations with multiple disease or reference categories has been made through polychotomous CLR and is shown to be more efficient than carrying out separate CLRs for each subgroup. In this paper, we consider matched case-control stu...

In this paper, various logistic regression models for several randomized response models are proposed and studied. The effect of choice of parameters in the randomized response models due Warner (1965), Kuk (1990) and the Simmons' unrelated question model on the logit functions has been demonstrated through various graphical representations. The effect on the estimates of the regression coeffic...

This paper proposes a regression model where the response is beta distributed using a parameterization of the beta law that is indexed by mean and dispersion parameters. The proposed model is useful for situations where the variable of interest is continuous and restricted to the interval (0, 1) and is related to other variables through a regression structure. The regression parameters of the b...

We aim at proposing a Generalized Linear Model (GLM) with binary dependent variable Y , whose link function defined by the Generalized Extreme Value (GEV) distribution. We define this model as GEV regression. The goal of this paper is to overcome the drawbacks shown by the logistic regression in rare events: the probability of rare events is underestimated and the logit link is a symmetric func...