I am assessing the impact of economic sanctions on the five major components of GDP (imports, exports, consumption, expenditure, and investment) using a fixed effects model for panel data.
I've classified different sanctions levels into four dummy variables: threats, limited, moderate, and extensive.
I've included a number of others controls, such as L.Log(GDPpc), L.Log(Population), democracy, conflict, etc.
Issue:
I created a series of dummy to represent a country's openness to trade (Exports + Imports)/GDP. I then classified these into four levels of openness based on their quartile: low, medium, high, very high. This variable is lagged.
Question: When I am investigating the effect of economic sanctions on imports and exports, would it be inappropriate to include the lagged trade openness variable ((Exports + Imports)/GDP), since this is a component of imports and exports? Stata shows these variables to be statistically significant.
Thank you,
Ryan
Related Posts with Multicollinearity - Lagged Independent Variable
Re: FitstatHello! I ran the logistic regression. The command fitstat produced some statistics on the model fit…
Is it usual for ivprobit per se to run quickly but margins after that is very slow?ivprobit finished in may a few minutes. But I am waiting for hours for margins to finish. Is this no…
outreg2Hello, I could not produce excel table from outreg. My command is simple as follows # In MS excel …
Generating 500 AR(1) processesHello everyone, Just wanted to know how to generate 500 processes of the following model: Yt=alpha…
Grouped Percentage Bar GraphHi Everyone, I am trying to make a stacked bar graph but having some trouble. I have three groups o…
Subscribe to:
Post Comments (Atom)
0 Response to Multicollinearity - Lagged Independent Variable
Post a Comment