Hi, I need to do a DEA using multiple variables, but each one has data from many years so I have to evaluate all of them at the same time to obtain the most efficient decision unit and I don't know how. Can anyone teach me how to do it? Thanks.
Dear Mr. Josse
In my opinion you can use DEA window analysis. In some paper they usually using 3-year window analysis method to avoid “no solution” output caused by the few DMUs and sparse data.
Hope this paper will help you:
https://www.sciencedirect.com/science/article/pii/S1876610214030653
Good luck for your research !!!
You can either examine all DMUs in each year (1 frontier per year), in a DEA-window (1 frontier for, says, 3 years), in a pooled-DEA (1 frontier for all DMUs for all years), or as a panel (i.e. Malmquist-DEA).
You can the test for the differences between years (using nonparametric test such as Mann-Whitney-Wilcoxon) or can use Tobit regression with year as a control variable.
Stata has a program that can do this. Read this:
https://www.stata.com/meeting/dcconf09/dc09_lee_ji.pdf
You can do the analysis for each year alone. I think that is better.
DEA can be used for both cross-section data as well as time-series data. The only difference is the interpretation of results. Hope the following link might help you to understand more about DEA
https://www.researchgate.net/publication/321824482_Data_Envelopment_Analysis
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