Introductory Stata 26: Estimates Visualization (marginsplot, coefplot)

After we fit regression models and obtain the estimates, we can use visual techniques to display the regression estimates. It helps people better understand your findings. In this video, we will explore how to plot the regression results in Stata.

#marginsplot #coefplot #Stata
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26. Coefficients Visualization
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capture log close
log using coefficient_visualization.log, text replace

set showbaselevels on

webuse nlsw88.dta, clear
describe
summarize

*marginsplot marginal effects
generate lwage=ln(wage)
regress lwage c.grade c.age i.married i.union i.race

margins, dydx(*)
marginsplot, recast(scatter) yline(0)

*plot coefficients uisng coefplot
help coefplot

regress lwage c.grade c.age i.married i.union i.race

coefplot, xline(0)

coefplot, xline(0) keep(grade age 1.married 1.union 2.race)

*compare two models
regress lwage c.grade c.age i.married i.race if union==0
estimates store nonunion

regress lwage c.grade c.age i.married i.race if union==1
estimates store union

coefplot nonunion union, xline(0) keep(grade age 1.married 2.race)

*plot standardized coefficients
regress lwage c.grade c.age i.married i.union i.race
stdBeta, store(O C S, replace)
coefplot S, xline(0) keep(grade age 1.married 1.union 2.race)

log close

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