NLOGIT 計量經濟學軟體

NLOGIT為LIMDEP的延伸功能版,除了所有的LIMDEP功能外,還提供估算、模擬模型和多種選擇資料分析的程式。讓使用者可選擇需要的兩個軟體。NLOGIT已成為估計和模擬多項式離散選擇模型首選方案。

NLOGIT: Superior Statistical Analysis Software

Complete Statistical Analysis Tools

NLOGIT 6 includes all the features and capabilities of LIMDEP
11 plus NLOGIT’s estimation and analysis tools for multinomial choice
modeling.

NLOGIT software is the only large package for choice modeling that
contains the full set of features of an integrated statistics program.

The Power of NLOGIT

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.

Superior Analysis Tools for Multinomial Choice Modeling

Our NLOGIT statistical software provides the widest and deepest array
of tools available anywhere for analysis of multinomial logit models,
including nested logit, generalized mixed multinomial logit,
heteroscedastic extreme value, multinomial probit, mixed logit and more.
A unique simulation package that allows you to analyze alternative
scenarios in the context of any estimated discrete choice model with any
data set, whether used in estimation or as hold out data for examining
model cross validity.

NLOGIT 6 includes all of the features of LIMDEP 11 as well as the widest array of tools for multinomial choice modeling




NLOGIT 6 offers a wide range of features for multinomial choice modeling

Features of NLOGIT 6 include:

With over 200 built-in estimators, you can analyze:

  • Four level nested logit models
  • Random parameters mixed logit
  • Latent class
  • Multinomial probit
  • Panel data – fixed effects MNL
  • Stated choice experiments
  • Willingness to pay
  • Heteroscedastic extreme value
  • Best/worst modeling
  • Random regret
  • Attribute nonattendance
  • Estimation and simulation

and much more

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