نتایج جستجو برای: ordered logit model
تعداد نتایج: 2146377 فیلتر نتایج به سال:
in recent decades, large investments have been made to introduce soil conservation methods, but most of these efforts have had limited success in achieving the goals. as a result, attempt to identify the factors deterring or promoting adoption of soil conservation practices is important. therefore, this study aimed to investigate factors affecting adoption of soil conservation practices by rain...
customer satisfaction is the most important element for developing and sustaining organizational priorities and practices. thus, we examined farmers’ overall satisfaction with agricultural extension services and its determinants using data collected from 150 beneficiary farmers in north west ethiopia. the findings show that about 55% of the interviewees were satisfied whereas 45% of them were d...
Empirical studies on the relationship between income and happiness commonly use standard ordered response models, the most well-known representatives being the ordered logit and the ordered probit. However, these models restrict the marginal probability effects by design, and therefore limit the analysis of distributional aspects of a change in income, that is, the study of whether the income e...
We discuss regression models for ordered responses, such as ratings of bonds, schooling attainment, or measures of subjective well-being. Commonly used models in this context are the ordered logit and ordered probit regression models. They are based on an underlying latent model with single index function and constant thresholds. We argue that these approaches are overly restrictive and preclud...
Categorical outcome (or discrete outcome or qualitative response) regression models are models for a discrete dependent variable recording in which of two or more categories an outcome of interest lies. For binary data (two categories) probit and logit models or semiparametric methods are used. For multinomial data (more than two categories) that are unordered, common models are multinomial and...
Empirical studies on household car ownership have used two types of discrete choice modelling structures, the ordered and the unordered. In ordered structures such as the ordered logit and ordered probit models, the choice of the number of household-vehicles arises from a uni-dimensional latent index that reflects the propensity of a household to own vehicles. Unordered response models, on the ...
While there is growing application of generalized ordered outcome model variants (widely known as Generalized Ordered Logit (GOL) model and Partial Proportional Odds Logit (PPO) model) in crash injury severity analysis, there are several aspects of these approaches that are not well documented in extant safety literature. The current research note presents the relationship between these two var...
This paper analyzes the determinants of life satisfaction in a pooled data set of representative individual survey data from seven East European countries collected during the early phase of economic and political transformation using ordered logit models. Those core sociodemographic and economic variables known to be relevant from studies on the US and West European countries (u-shaped age eff...
This paper analyses the determinants of happiness in seven Eastern European transition countries during the early phase of economic transition. The analysis of representative survey data in an ordered logit model shows that those core socio-demographic and economic variables known to be relevant from studies on the US and Western European countries have a similar impact on happiness in Eastern ...
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