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Description
Learn how to fit multilevel/mixed models in Stata. Mixed models contain both fixed effects analogous to the coefficients in standard regression models and random effects not directly estimated but instead summarized through the unique elements of their variance–covariance matrix. Mixed models may contain multiple levels of nested random effects. These models are also referred to as multilevel or hierarchical models.
The course will be interactive, use real data, and offer ample opportunity for specific research questions and for working exercises to reinforce what is learned.
Are you more interested in panel-data models with unobserved individual-level heterogeneity, endogenous variables or lagged variables? Check out our Panel-data analysis using Stata course.
Course topics
Prerequisite
Basic knowledge of standard linear regression and a working knowledge of Stata.
Notes
This course is available in-person or virtually. In-person training courses generally run for eight hours per day and include morning and afternoon breaks and a lunch break. Virtual training courses are typically divided into three- to four-hour daily sessions. You can arrange a convenient schedule with your instructor.
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