在Stata中,混合Logit模型(Mixed Logit Model)是一种处理个体选择行为时考虑异质性的模型。它允许模型的某些参数在个体之间随机变化,从而更好地捕捉个体间的差异。以下是如何在Stata中实现混合Logit模型的基本步骤和代码示例: 1. 数据准备 首先,确保你的数据集包含了进行混合Logit模型分析所需的所有变量。通常,你需要至...
Mixedlogit choice model Number of obs = 1,250CaseID variable: id Number of cases = 250 Alternativesvariable: insurance Alts per case: min = 5avg=5.0max=5Integrationsequence: HammersleyIntegrationpoints: 579 Wald chi2(6) = 62.87Logsimulated likelihood = -288.91924 Prob > chi2 = 0.0000 ---c...
支付意愿空间混合logit模型:Mixed logit modelin Talevi,M., et al. (2022).Speaking from experience: Preferences for cooking with biogas in rural India Appendix A. Supplementary data【数据+Stata】 示例代码 请读者自行运行1-282行,此处从略。 核心代码如下: setseed537363959mixlogitwtpoutcomeifvalidated==...
Mixed logit choice model Number of obs = 1,250 Case ID variable: id Number of cases = 250 Alternatives variable: insurance Alts per case: min = 5 avg = 5.0 max = 5 Integration sequence: Hammersley Integration points: 579 Wald chi2(2) = 67.93 Log simulated likelihood = -294.29896 ...
(not concave)Iteration1: log simulated likelihood = -295.61382Iteration2: log simulated likelihood = -294.83963Iteration3: log simulated likelihood = -294.30391Iteration4: log simulated likelihood = -294.29896Iteration5: log simulated likelihood = -294.29896 Mixedlogit choice model Number of obs = 1,...
混合效应模型(Mixed Effect Model)可以轻松处理多种研究设计和数据类型,因而越来越多地被研究者采用进行分析。它能够处理的模型类型包括:固定效应方差分析模型、完全随机区组设计(Randornized Complete Blocks Design)、裂区设计(Split-Plot Design)、纯随机效应模型(Purely Random Effects Model)、随机系数模型(Random Coe...
Whilewidelyusedthismodelhasseveralwell-known limitations: Cannotaccountforpreferenceheterogeneityamong respondents(unlessit’srelatedtoobservables) IIAproperty:canleadtounrealisticpredictions Thishasledresearchersinvariousdisciplinestoconsidermore ‡exiblealternatives Themixedlogitmodelextendsthestandardconditionallogit ...
Choice models Model your discrete-choice data—say, a choice to travel by bus, train, car, or airplane—with a conditional logit, multinomial probit, or mixed logit model. Is your outcome instead a ranking of preferred travel methods? Fit a rank-ordered probit or rank-ordered logit model. ...
Pacifico, D. and H. Yoo (2012). "lclogit: a Stata module for estimating a mixed logit model with discrete mixing distribution via the Expectation‐Maximization algorithm." Working Paper No.6, ...
MIXLOGIT: Stata module to fit mixed logit models by using maximum simulated likelihood 190 CONDISC: Stata module to perform convergent and discriminant validity assessment in CFA 191 SAMPLEPPS: Stata module to draw a random sample with probabilities proportional to size ...