Suppose I have two regressors, task availability (Xa) and task participation (Xp), and a DV Y. One can only participate in a task if it is available, but one can choose not to participate even if a task is available. Baseline model Y ~ Xa, should be the total effect of task availability. Y ~ Xa + Xa * Xp, adds the effect of participation. Now, if the interaction model is the true model, would Y ~ Xa be biased, because of omitted variable problem? That is, the total effect cannot be estimated using the baseline model?
Related Posts with Interpreting main effects model with omitted interaction terms
Import several excel files and transpose column into rowI need to import several Excel files. Each Excel file has three variables, item, price and quantity.…
Survival Analysis: how to define the censor variable?Hello everyone, I am not that familiar yet with survival analysis, however, I want to investigate pe…
do.file to estimate spatial panel data with stata 16To whom it may concern In panel spatial econometrics, there is a cohort of 6 spatial econometric mod…
Mean difference with omitted variableHi All, I'm trying to do a calculation for an average rate and a marginal rate using state data. Si…
Issue using unixodbc in Kubuntu: The function SQLDataSources could not be found in libodbc.soI'm trying to access my mariaDB database from Stata using odbc but I get this error message: Code:…
Subscribe to:
Post Comments (Atom)
0 Response to Interpreting main effects model with omitted interaction terms
Post a Comment