نتایج جستجو برای: logit regression model
تعداد نتایج: 2327699 فیلتر نتایج به سال:
We introduce a new nonparametric regression estimator that uses prior information on regression shape in the form of a parametric model. In e!ect, 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 logit regression model was used to measure the willingness to pay, and the parameters of this model were estimated based on maximum likelihood (probability) method. For this purpose, 377 double-duplex questionnaires were completed by random sampling method in Kohgiluyeh va Boyer Ahmad provinces. Based on the results, over 68.3% of respondents, they expressed their desire to participate in t...
Several new estimators of the marginal likelihood for complex non-Gaussian models are developed. These estimators make use of the output of auxiliary mixture sampling for count data and for binary and multinomial data. One of these estimators is based on combiningChib’s estimatorwith data augmentation as in auxiliarymixture sampling,while the other estimators are importance sampling and bridge ...
Absenteeism research has often been criticized for using inappropriate analysis. Characteristics of absence data, notably that it is usually truncated and skewed, violate assumptions of OLS regression; however, OLS and correlation analysis remain the dominant models of absenteeism research. This piece compares eight models that may be appropriate for analyzing absence data. Specifically, this p...
Estimation of disaggregate mode choice models to estimate the ridership share on a proposed new (or improved) intercity travel service and to identify the modes from which existing intercity travelers will be diverted to the new or upgraded service constitutes a critical part of evaluating alternative travel service proposals to alleviate intercity travel congestion. This paper develops a new h...
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...
abstract researches of preservation valuation of natural resources and environment were done in order to create necessary awareness for making optimal decisions in the field of the ways of economic management of these resources and helping to establish sustainable regional development strategy. in this study, preservation value of lilium ledebourii estimated using single bounded dichotomous cho...
A rich theoretical literature describes the disadvantages facing plaintiffs who suffer multiple, or intersecting, axes of discrimination. This article extends extant literature by distinguishing two forms of intersectionality: demographic intersectionality, in which overlapping demographic characteristics produce disadvantages that are more than the sum of their parts, and claim intersectionali...
In this paper we identify the main determinants of the exchange rate regimes in Central and Eastern European Countries (CEECs). For this purpose, we use an ordered logit model for the official (de jure) and the actual (de facto) exchange rate classifications. We find that trade openness and concentration, inflation differentials, international reserves stocks, and financial conditions are the m...
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