Dear all,
This is a question not directly about stata application. I notice there are many topics about the Mundlak (or Chamberlain) device. Virtually all of them are projecting the unobserved heterogeneity onto the regressors (means of regressors across time) such that c_i=\bar x_i +e. This may help to identify the effect of time-invariant variables in the model.
I wonder if it's possible to project the unobserved heterogeneity (with a time subscript) onto the cross-sectional averages such that c_t=\bar x_t+e. If so it could help identify the effect of aggregate shock.
I cannot see anything contradictory for a relatively long panel. However, I cannot find such practice in the literature. Wonder if anyone have seen this type of examples. Please advise if this is simply wrong.
Thanks.
Related Posts with Mundlak device for the time dimension
Are there user-written modules specifically based on Tukey's EDA techniques?Hello StataList, I am looking for user-written modules that address Exploratory Data Analysis strat…
Linear mixed models: random effects for both intercept and slope? lincom margins for continuous predictorsHi, I am a student, starting to deal with linear mixed models in STATA and your help would be extre…
Interactions between two variables with time-varying effects in flexible parametric survival analysis stpm2I am running a flexible parametric survival model using stpm2. In my data, I have two variables tha…
SEM and nonlinear regressionHello everyone. Earlier, I used 'Stata' to build non-linear regressions. Recently, I started using …
Is there a way in Stata to drop cases if the percentage of missing is greater than certain value according to key variable?Array Hi all! I want to drop cases if the percentage of missing is greater than certain value accord…
Subscribe to:
Post Comments (Atom)
0 Response to Mundlak device for the time dimension
Post a Comment