The estimation of the probit and logit models including industry dummies was conducted in three steps. |
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In order to approve this supposition, a multinominal logit regression is conducted on the survey data. |
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In order to clarify this modal choice relationship, the following logit model was estimated. |
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The health status variable is the dependent variable in our logit panel regression models. |
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The conditional logit model is intended for problems where choices are made based at least partly on observable attributes of each alternative. |
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Chart 4 presents the logit regression results in graphic form. |
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Nested logit functions are in theory a superior way to represent transport demand but are more data-intensive and cannot easily be used for the computation of optimal taxes. |
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Tables B.12 and B.13 present a logit model of the probability of unemployment for individuals who participated in the labour force for at least part of the year. |
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Two common choices are the logistic function which gives rise to a logit regression and the standard normal distribution function which yields a probit regression. |
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Tables B.16 and B.17 present the logit estimation of the probability that an individual will have problems obtaining additional weeks of employment. |
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These factors are each weighted using a method called a logit regression, a statistical tool that estimates how influential each stat is in winning and losing. |
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The probabilities of consultation and the choice of the type of service were modelled, respectively, using probit and multinomial logit regressions. |
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The nested logit model is used to reflect consumer preference of Shinkansen and Maglev that are closer substitute than air transport and railway in general. |
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Alternatively, assuming that happiness scores are ordinally comparable would justify the estimation with ordered probit or ordered logit. |
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Tables A.1 to A.11 present the detailed results of a series of logit models of the probability that an individual will be outside the labour force for the entire year. |
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An ordered logit model is one regression technique that can be used to analyze a data set where the dependent variable can only take on discrete values where the order of the values has meaning. |
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Tables C.59 and C.60 of Appendix C, show the estimated coefficients of a logit model of the probability of getting married for men and women, respectively. |
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The ordered logit regressions made for these four countries estimate the expected number of years spent in poverty according to individual traits. |
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This estimation is done using a multinomial logit framework with past test scores, demographics and socioeconomic characteristics as explanatory variables. |
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For many applications, it is possible to show that the symmetric logit equilibrium density function that solves Equation 1 is single peaked. |
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A discrete choice logit model is used to capture the choice of irrigation and a multinomial logit model is used to capture crop choice. |
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A mixed spatial multinomial logit model is formulated that incorporates spatial dependencies to predict housing-type choices of new homebuilders. |
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Dans cet article, les termes de dependance spatiale sont implementes a la fois dans le cadre standard et dans le cadre mixed multinominal logit. |
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Two such parameterizations are the multinomial logit and a parameterization method described by Heifetz and Fujioka. |
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Instead of a multinominal logit model or hazard functions, a simple logit function is estimated in this study for each of the outcomes of a loan termination. |
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The method of planning the composition of soil-binder mixtures using a computed statistical logit model makes it possible to construct graphs in the form of contour maps. |
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