نتایج جستجو برای: logit and probit models
تعداد نتایج: 16922151 فیلتر نتایج به سال:
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...
In this paper, we present a Weibull link (skewed) model for categorical response data arising from binomial as well as multinomial model. We show that, for such types of categorical data, the most commonly used models (logit, probit and complementary log–log) can be obtained as limiting cases. We further compare the proposed model with some other asymmetrical models. The Bayesian as well as fre...
Factor structures or interactive effects are convenient devices to incorporate latent variables in panel data models. We consider fixed effect estimation of nonlinear single-index models with factor the unobservables, which include logit, probit, ordered probit and Poisson specifications. establish that estimators model parameters average partial have normal distributions when two dimensions gr...
Existing studies of judicial decisionmaking have found that elected judges are more likely to dissent and to oppose judges from the same party. These findings are explained by elected judges having stronger preferences for risk or being more independent. In this paper, I offer an alternative explanation: judges’ efforts to be retained should yield different patterns of opposition among judges f...
We address function misspecification and model heterogeneity, two critical issues in empirical work. A nonparametric approach is proposed for single-index, binary-choice models when parametric models such as Probit and Logit are potentially misspecified. The new approach involves two steps: first, we estimate index coefficients using sliced inverse regression without knowing the conditional pro...
nowadays in trade and economic issues, prediction is proposed as the most important branch of science. existence of effective variables, caused various sectors of the economic and business executives to prefer having mechanisms which can be used in their decisions. in recent years, several advances have led to various challenges in the science of forecasting. economical managers in various fi...
Modeling travel behavior is a key aspect of demand analysis, where aggregate demand is the accumulation of individuals’ decisions. In this chapter, we focus on “short-term” travel decisions. The most important short-term travel decisions include choice of destination for a non-work trip, choice of travel mode, choice of departure time and choice of route. It is important to note that short-term...
Agricultural researchers, especially research entomologists, are interested in determining how mortality rates change with increasing dose levels of a certain stimulus (e.g., pesticide, drug). A researcher may have a particular interest in determining the pesticide dose at which 50% (LD50), 75% (LD75), or 90% (LD90) of insect populations respond. Several procedures have been suggested for estim...
Abstract In cognitive modeling, it is often necessary to complement a core model with choice rule derive testable predictions about behavior. Researchers can typically choose from variety of rules for single model. This article demonstrates that seemingly subtle differences in rules’ assumptions how consistency relates underlying preferences affect the distinguishability competing models’ and, ...
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