Minot
Using Stata for Survey Analysis
Page 40
Example 18. Using “collapse” to calculate the value of food consumption per household
merge
This command combines two files with different variables into one file. Until now, all the commands
we have worked with used just one file. However, the BLSS consists of many data files, and often we
would like to combine data from different files. For example,
to calculate total expenditure, we would need to combine data from Block 8 (food
consumption) and Block 9 (non-food consumption).
to see if food consumption patterns vary depending on the education level of the head of
household, we need to combine data from Block 2.2 (education) and Block 8 (food
consumption).
The merge command combines files horizontally (side to side). In this case, the two files have
different variables and are linked by having the same observations (person, household, crop, etc.)
The files below have different variables but the same records (household). The command merge will
combine records with the same household identification number (hhid). This would allow an analysis
of how housing value (in the second file) varies according to expenditure level (in the first).
Two files before merge
hhid region urban exppc quint farm
hhid housetype water elect value
101
101
102
102
103
103
201
201
202
202
203
║
║
▼
One file after merge
hhid region urban exppc quint farm housetype water elect
value
101
102
103
201
202
203
Using Stata for Survey Data Analysis
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