使用期限*
许可形式单机和网络版
原产地美国
介质下载
适用平台windows
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Discrete Choice in LIMDEP
Discrete choice estimators for binary, multinomial, ordered, count and multivariate discrete data are provided:
Probit and logit models for binary choice
Ordered choice including univariable, bivariate, hierarchical and sample selection
Panel data
Multinomial logit
Count data models
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Data Management
Data management tools include:
Data input and output
Data transformations
Sampling and bootstrapping
Monte Carlo analysis
Weighted data
Random number generation
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Robust Estimators
GMM estimation for user specified models
Kernel density estimation
Spectral density estimation
Random parameters models
Kernel weights for estimation
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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
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