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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。
模型估计&数据分析
提供连续、离散、有限和删失因变量近200种模型公式，包括：
线性回归
稳健估计
线性和对数线性回归
二元选择的概率和logit模型
排序选择模型
多项选择
审查和截断
样本选择模型
分位数回归（线性和计数）
计数数据的泊松和负二项模型
随机*与DEA
时间序列模型
面板数据模型
统计分析
编程语言允许支持估计量的扩展：
模型的估计
测试和限制
后评估分析
模拟
局部的效果
Oaxaca分解
Delta和Krinsky/Robb方法
Data Management
Data management tools include:
Data input and output
Data transformations
Sampling and bootstrapping
Monte Carlo analysis
Weighted data
Random number generation
NLOGIT 6 provides programs for estimation, simulation and analysis of multinomial choice data, such as brand choice, transportation mode, and all manner of survey and market data in which consumers choose among a set of competing alternatives. Since its introduction nearly 20 years ago, NLOGIT has become the premier statistical package for estimation and simulation of multinomial logit models including willingness to pay and best/worst modeling. NLOGIT is the only program available that supports mixing stated and revealed choice data sets.
Censored data
Stratification
Choice based sampling
Robust covariance matrix, sandwich, cluster
Sample selection model
Maximum likelihood ordered probit with selection
Ordered probit selection criterion
Model Estimation & Data Analysis: Nonlinear Regression & Loglinear Regression Models
LIMDEP software offers numerous tools for nonlinear regression including generalized method of moments (GMM), nonlinear least squares regression and nonlinear systems of equations. LIMDEP’s features for loglinear models include generalized linear models (GLM), fractional response models, many forms of binominal and multinomial regression and more.
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