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Heteroscedastic probit or logit models
estimation
LM tests
Partial effects: average, at means
Two step estimation: use previous results or pass results to another estimator
Semiparametric
and Spady
Maximum score
Nonparametric regression
Panel data
Random effects - quadrature or simulation
Unconditional fixed effects one and two way
Random parameters
Latent class
Conditional logit fixed effects
LR and LM tests for effects
![nlogit功能](//l.b2b168.com/2020/06/18/15/202006181534419872064.jpg)
Bivariate and Multivariate Probit
Bivariate probit
![nlogit功能](//l.b2b168.com/2022/08/17/14/202208171446253985184.jpg)
Multinomial Choice in NLOGIT
NLOGIT contains all of LIMDEP plus numerous extensions of the multinomial choice models that do not appear in LIMDEP, including:
Data analysis
Model estimation
Mixed (random parameters) logit model
Generalized mixed logit
Estimation in WTP space
Multinomial probit model
Latent class model
Error components (RE) logit model
Random regret MNL
Dynamic random effects MNL model
Generalized nested logit model
Model specification
Model simulation
![nlogit功能](//l.b2b168.com/2018/11/24/13/201811241328274599504.jpg)
NLOGIT包含大量的数据分析、数据管理和模型建立工具,从简单线性回归到非线性方程组的大似然估计,有许多扩展和变化。几乎所有现代实证调查所采用的技术都有提供。
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