Swiss metropolitan areas are comprised of a system of communities with considerable fiscal autonomy. This study investigates how the income tax differentials across communities in an urban area affect the households` location decisions. Data from the urban agglomeration of Basel for the year 1997 is used. This unique data set contains tax information from all households that moved either within...

In this paper we develop a novel methodology to incorporate managerial judgment or intuition into a logit model. The major contribution and focus of this research is on the way prior information is incorporated in our model. By extending the model introduced by Koop and Poirier (1993) we are able incorporate information about exogenous variables as priors in our model. The major advantage of th...

Abstract This study aims to understand how Rwandan farmers value the improved characteristics of climate services introduced them in a choice experiment setting. Data were collected from 1,525 household heads November 2019. A random parameters logit model was used analyze data. Results suggest that forecast accuracy, dissemination through combination extension agents and Participatory Integrate...

This paper focuses on a joint model to analyze longitudinal proportional and survival data. We utilize logit transformation the data employ partially linear mixed-effect model. With this model, we estimate unknown function of time using B-splines technique. Additionally, introduce centered Dirichlet process mixture (CDPMM) capture random effects, allowing for flexible distribution. The are assu...

The Lake Urmia and its satellite wetlands have been selected as a demonstration site for the United Nations Development Program / Global Environment Facility / Department of Environment Conservation of Iranian Wetlands Project. This project aims to demonstrate reduction of the major threats of this wetland protected area coordinated through an integrated management plan. A choice experiment was...

For a vector y ∈ Rn and a model subspace X ⊂ Rn, the residual configuration statistic is what remains of y when translations in the model space and scalar multiplication are ignored. The configuration statistic for a linear Gaussian model has a distribution that depends only on variance-component ratios, or similar ratio parameters in the covariance function of a spatial model. The marginal lik...