Imagine we have the two datasets below (the first named person_age.dta and the second rent.dta) person_id county_id age 1 1 1 48.37863 23 2 2 2 39.79116 3 3 3 59.02524 4 4 4 40.65527 5 6 56 7 7 8 8 1 29.78645 2 3 52.80093 4 52.46461 county_id average_rent 55.16973 1 1 1348.872 2 2 1266.886 3 3 1136.646 4 4 1028.557 If we first load in person_age.dta and then merge to rent.dta, the correct code from the merge command would be

Micro Economics For Today
10th Edition
ISBN:9781337613064
Author:Tucker, Irvin B.
Publisher:Tucker, Irvin B.
Chapter11: Labor Markets
Section: Chapter Questions
Problem 3SQP
Question
Imagine we have the two datasets below (the first
named person_age.dta and the second rent.dta)
person_id county_id
age
1
1
1 48.37863
23
2
2
2 39.79116
3
3
3 59.02524
4
4
4
40.65527
5
6
56
7
7
8
8
1 29.78645
2
3 52.80093
4 52.46461
county_id average_rent
55.16973
1
1
1348.872
2
2
1266.886
3
3
1136.646
4
4
1028.557
If we first load in person_age.dta and then merge to
rent.dta, the correct code from the merge command
would be
Transcribed Image Text:Imagine we have the two datasets below (the first named person_age.dta and the second rent.dta) person_id county_id age 1 1 1 48.37863 23 2 2 2 39.79116 3 3 3 59.02524 4 4 4 40.65527 5 6 56 7 7 8 8 1 29.78645 2 3 52.80093 4 52.46461 county_id average_rent 55.16973 1 1 1348.872 2 2 1266.886 3 3 1136.646 4 4 1028.557 If we first load in person_age.dta and then merge to rent.dta, the correct code from the merge command would be
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