I have a poverty dataset with rows containing different places and different years and I have to predict the poverty percentage for those places next year.
Overall I have over a thousand rows. But I don't have enough data points for each of the places. Actually, the max data point I have for each of the places is only 2.
Obviously, time series isn't very likely. I tried linear interpolation to increase my data points but that wasn't very reliable. I'm also looking into imputation.
Right now, I'm looking into
predict() of R, but I'm not sure that can actually give me anything that will also consider the year.
Any suggestions as to how to deal with this problem?