Abstract

Research on the consequences of social mobility usually draws on information about categorical origin and destination variables as well as an outcome variable. The author shows an example of a heatmap created in Stata to visualize the relationship between social mobility and poor self-rated health in Germany and discusses the advantages of this heatmap approach to other visualization approaches.

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