Estimating a multilevel simult equation model
Posted: Tue Dec 22, 2009 3:09 pm
Dear Listers,
I have estimated a multivariate model with three outcomes (Language, Math and Science) using a national Grade 6 survey. I am examining the contested issue of resources and their impact on outcomes. In the second stage, I wanted to follow up on the advice and modelling strategy in the Steele et al (2007) paper and proceeded to set up the bivariate response model where outcome and resources are modelled jointly (class size and outcome seperately for each of the three outcomes). However, as soon as I enter covariates into the bivariate response model, I get the IGLS/RIGLS numeric warning pertaining to the fixed part of the model. So two questions
1. If outcome is a pupil level variable and class size is a school level variable, how can I specifiy that so that the former has random intercepts across students, schools and districts (LEA in UK speak) while class size only has school and district random intercepts? is this the crux of the problem because I would have thought that a multivariate and a bivariate model is specificed in the same way in MLwiN
2. Do I set up this model differently from the multivariate model? I would have thought not seeing that both are variants of the multivariate model
I have sorted my data as per the multilevel structure: observations in students; these nested into schools and schools nested in ditricts.
Any help will be hugely appreciated.
Many thanks,
Russell Wildeman
I have estimated a multivariate model with three outcomes (Language, Math and Science) using a national Grade 6 survey. I am examining the contested issue of resources and their impact on outcomes. In the second stage, I wanted to follow up on the advice and modelling strategy in the Steele et al (2007) paper and proceeded to set up the bivariate response model where outcome and resources are modelled jointly (class size and outcome seperately for each of the three outcomes). However, as soon as I enter covariates into the bivariate response model, I get the IGLS/RIGLS numeric warning pertaining to the fixed part of the model. So two questions
1. If outcome is a pupil level variable and class size is a school level variable, how can I specifiy that so that the former has random intercepts across students, schools and districts (LEA in UK speak) while class size only has school and district random intercepts? is this the crux of the problem because I would have thought that a multivariate and a bivariate model is specificed in the same way in MLwiN
2. Do I set up this model differently from the multivariate model? I would have thought not seeing that both are variants of the multivariate model
I have sorted my data as per the multilevel structure: observations in students; these nested into schools and schools nested in ditricts.
Any help will be hugely appreciated.
Many thanks,
Russell Wildeman