I'm using a cross sectional data in 2015, and have a poverty rate variable collected in different years according to case's region.
| ID |
Region |
Collection time of poverty rate |
Poverty rate (problematic variable) |
Other variables (collected in 2015) |
| 1 |
a |
2014 |
11% |
|
| 2 |
a |
2014 |
13% |
|
| 3 |
a |
2014 |
15% |
|
| 4 |
b |
2014 |
13.50% |
|
| 5 |
b |
2014 |
11% |
|
| 6 |
c |
2015 |
13% |
|
| 7 |
c |
2015 |
14% |
|
| 8 |
d |
2013 |
13% |
|
| 9 |
d |
2013 |
23% |
|
| 10 |
d |
2013 |
24% |
|
Can i add this variable to my model? If i can, how can i fix this problem? Can i solve this problem by adding regional fixed effect?
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