Hi all,
I'm studying the poverty status of states in different NSS years. Can someone suggest some "SIMPLE" measures to identify the "cluster of states" in a scatter, so that i can identify the persistence of clusters in different periods. I really don't need a rigorous method but a "simple, yet good" method.
Thanx.
if you find no relation in the scattered plot of variable, and found data is scattered around a specific point will result in cluster in data of particular variable.
The large and the small States seem to be in two completely different clusters. For large States, we are clearly in the first half of the Kuznets curve. This is also true of the small States, but the small States are in two completely different clusters, with the North-East different from the likes of Delhi, Pondicherry, and Goa. but with changes in the Gini coefficient plotted against the change in per capita GSDP. The positive relationship still seems to hold, especially if one separates the large States from the small ones
http://www.fisme.org.in/document/FISME_occassional_paper_1.pdf
You can do a factor-cluster analysis. But if you have just one attribute (poverty) you can plot the figures for different states in different NSS years and identify the clusters. Do the graph in STATA instead of excel.
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