Multilevel modeling of educational longitudinal data with crossed random effects
AbstractWe consider multilevel models for longitudinal data where membership in the highest level units changes over time. The application is a four-year study of Korean students who are in middle school during the first two waves and in high school during the second two waves, where middle schools and high schools are not nested. The model includes crossed random effects for middle schools and high schools and can be estimated using Stata¡¯s xtmixed command. An important consideration is how the impact of the middle school and high school random effects on the response variable should change over time.
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Bibliographic InfoPaper provided by Stata Users Group in its series Fall North American Stata Users' Group Meetings 2008 with number 10.
Date of creation: 16 Nov 2008
Date of revision:
This paper has been announced in the following NEP Reports:
- NEP-ALL-2008-11-25 (All new papers)
- NEP-EDU-2008-11-25 (Education)
- NEP-LAB-2008-11-25 (Labour Economics)
- NEP-URE-2008-11-25 (Urban & Real Estate Economics)
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