Interpreting Logit Regression Results in STATA Assignments
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Jul 03, 2024
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Interpreting Logit Regression
Results in STATA Assignments
By Statistics Help Desk
Introduction to Logit
Regression
Logit regression is in use when your dependent variable is
binary (e.g., yes/no, 1/0). Thus, instead of predicting a
continuous outcome, it also models the probability of a
certain outcome that is occurring. .
Understanding the Basics
Logits and Odds Ratios
logit regression does not actually predict
probabilities. Instead, it models the log-odds of an
event happening.
Coefficients
From STATA software, the change arising from a unit
increase in your predictor as described in the logit
regression output is presented as Coef.
Make sure your dependent variable is binary. In our case, the dependent variable is support for gay
marriage. If this variable isn’t binary, you’ll need to recode it.
recode marhomo (1/2=1 "Favor")(3/5=0 "Neutral or oppose"), gen(marhomo_r) label variable
marhomo_r "Favorable view toward gay marriage"
To estimate a logit regression, use the following command:
logit marhomo_r educ, nolog
How to Perform a Logit Regression in
STATA
Interpreting the Output
Here is a sample output
Converting to Odds Ratios
logit marhomo_r educ, nolog or
Interpreting the output
Menu Method:
Are you a student learning STATA in your econometrics coursework and
finding it challenging to keep up with homework? Do complex statistical
analyses and logit regressions leave you feeling overwhelmed? Our
professional STATA homework help is here to support you every step of
the way
Click on "Statistics" > "Binary outcomes" > "Logistic regression". 1.
Fill in the dependent and independent variables. 2.
Click on the "Reporting" tab to choose "Report estimated coefficients". 3.
Click "OK".4.
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