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Matching on a Single Covariate To account for these differences in age across the two voter populations, let's try to 'control for' age via matching....

I need help creating a function that takes an age value and returns the ID of a randomly chosen non-contacted adult with the same age.

Matching on a Single Covariate To account for these differences in age across the two voter populations, let's try to ‘control for‘ age via matching. That is, for each contacted voter, we'll find a
non-contacted voter with the same age, and use the set of matched non-contacted voters as our comparison group. First let's assign lD's to people in the control group. It will soon become clear why we‘re doing this. In [82]: #add ID column
noncontacted = noncontacted.with_column( 'id' , np.arange(noncontacted.num_rows))
noncontacted Out[82]: contact vote02 vote98 newreg age female county id 0 1 0 0 68 1 44 0
0 1 0 0 31 0 44 1
0 1 1 0 71 1 44 2
0 0 0 0 45 0 44 3
0 1 0 0 50 0 44 4
0 1 0 0 39 1 44 5
0 1 0 0 64 1 44 6
0 0 1 0 49 0 44 7
0 0 0 0 30 0 44 8
0 0 0 0 49 1 44 9 (14502 rows omitted)

Top Answer

Below is the logic for the program. Let me know if you have any doubts. First subset the dataframe with the matched age then... View the full answer

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