Anaerobic digestion technology addresses environmental issues of waste disposal and greenhouse gas emission reduction. This paper examines attitudes toward adoption of this conservation technology on dairy farms. To specify an appropriate dependent variable without a large number of adopters, an ordered probit model is constructed. The empirical analysis uses data from a 2006 survey of Pacific ...

This paper proposes two gradient based methods to fit a Probit regression model by maximizing the sample log-likelihood function. Using the property of the Hessian of the objective function, the first method performs weighted least square regression in each iteration of the Newton–Raphson framework, resulting in ProbitBoost, a boosting-like algorithm. Motivated by the gradient boosting algorith...

Indeks Pembangunan Manusia (IPM) merupakan suatu indikator penting untuk menentukan ketercapaian kualitas hidup manusia. Penelitian ini bertujuan faktor – yang dapat mempengaruhi tingginya angka IPM dengan memodelkan menggunakan model regresi probit dan spasial. Pemodelan menyatakan bahwa variabel berpengaruh hanya satu kemampuan mengelompokkan sebesar 39%. Sementara itu, spasial ada tiga 45%. ...

background: owing to the growing importance of medicines in treatment of diseases, as well as their role as alternatives for expensive and often unsafe procedures; economic examination of factors associated with their demand is necessary. hence, this study aimed at exploring factors affecting the demand of specialty medicines.   methods: in this descriptive-analytic study, data was collected fr...

This paper sheds light on the causal relationship between education and health outcomes. We combine three surveys (SHARE, HRS and ELSA) that include nationally representative samples of people aged 50 and over from thirteen OECD countries. We use variation in the timing of educational reforms across these countries as an instrument for education. Using IV-Probit models, we find causal evidence ...

Binary data are widely used for spatial modeling and when inferences and predictions are to be derived. If a Generalized Linear Model (GLM) is applied, logit functions are often used. Here we show alternatives to the traditional logit approach using probit and the complementary log log link functions. We present a software-based approach and two methods of assessing which link function performs...

The study of income dynamics, such as the analysis of transitions into and out of poverty, has a long history. The empirical analysis of health dynamics is less well established. This paper considers the determinants of a binary indicator for the existence of functional limitations using seven waves (1991-1997) of the British Household Panel Survey(BHPS). Our analysis has two focal points : 1) ...

probabilistic approach of traffic assignment has been primarily developed to provide a more realistic and flexible theoretical framework to represent traveler’s route choice behavior in a transportation network. the problem of path overlapping in network modelling has been one of the main issues to be tackled. due to its flexible covariance structure, probit model can adequately address the pro...

We introduce a new nonparametric regression estimator that uses prior information on regression shape in the form of a parametric model. In eeect, we nonparametrically encompass the parametric model. We obtain estimates of the regression function and its derivatives along with local parameter estimates that can be interpreted from within the parametric model. We establish the uniform consistenc...

The aim of this paper is to test the information content of the term premium in predicting the inter-war recessions in the USA and UK. A probit model is used to explain a binary variable identifying recessions with the term premium as the explanatory variable. We find that the term spread is a good predictor of the US business cycle in the inter-war period and is moderately successful in predic...