Dear colleagues
I'm thinking of a method to isolate the effect of a particular variable (X) on say Y and then use that it in an entirely different regression and another dependent variable.
For example, assume I have the following regressions:
yi=β0+β1xi+β2zi+ϵi (1)
and let's say that the negative effect of x on y is established (just for the sake of argument), what is the best way to isolate the reduction of Y that is attributed to x and use it in another regression (2)?
ji=β0+β1(reduction of Y attributed to x in regression 1)i+β2pi+ϵi (2)
I thought about running the regression with and without x and then compare the residuals but not entirely convinced.Or should I save β1 and use it?
Any Ideas?
Thank you
Related Posts with predicting effect
Gender wage gap, hourly wage or weekly wageHello everyone, I am doing a project on gender wage gap using Oaxaca Decomposition. I am wondering …
Mediation analysis (bias-corrected bootstrapping): Using panel survey data with fixed effects (sem/gsem/xtdpdml command)Hello, I am new to the Stata forum (let me know if I have not correctly followed the forum's rules)…
Validity of exclusion restriction in an Heckman IV modelDear Statalist Users, I was hoping to get some inputs on how to evaluate the validity of the exclus…
Editing graphHi, I need to edit a graph that starts from 0 to start from 10. I know how to change the x axis ran…
Time series data set up for time series analysisDear Altruistic, I'm using Stata 13. My data set is in following formation Code: * Example generat…
Subscribe to:
Post Comments (Atom)
0 Response to predicting effect
Post a Comment