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### Stata FAQ

How can I graph the results of the margins command? (Stata 12)

Graphing results from the **margins** command can help in the interpretation of your model. Stata 12 introduced the **marginsplot** command which make the graphing process very easy.

Let's start off with an easy example.

#### Example 2

For our second example we will graph the results of a categorical by continuous interaction from a logistic regression model. We will use the **margins** command to get the predicted probabilities for 11 values of **s** from 20 to 70 for both **f** equal zero and **f** equal one. The **vsquish** option just reduces the number of blank lines in the output. In total, there are 22 values in the above table. There are two predicted probabilities for each value of **s**. One each for males and females.

Now we can go ahead and graph the probabilities using the **marginsplot** command. This time we will include the default confidence intervals. We

can make the graph more visually attractive by shading the area inside the confidence intervals. The graph of the probabilities above is nice as far as it goes but the presentation of the results might be clearer if we were to graph the difference in probabilities between males and females. To do this we will need to rerun the **margins** command computing the discrete change for **f** at each value of **read**. We can get the difference using the **dydx** (derivative) option. Everything is ready for the **marginsplot** command. As nice as the above graph is, it might look better done as a range plot with area shading between the upper and lower confidence bounds. If you want the lines in these graphs to be smoother, just include more values in the **at** option, say **(20(2)70)** instead of **(20(5)70)**.

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Source: www.ats.ucla.eduCategory: Bank

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