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were equated by the matching procedure.
Finally, as a measure of robustness of the results, we compared the estimated distribution of total consumption (generated by the matching procedure) to the observed SHS distribution by computing several income distribution indices.
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We can speed up the matching procedure by removing the redundant computation.
Before the graph matching step, G exp and G theo are first preprocessed to optimize the matching procedure by searching for high-level structures called simplices and polytopes (Fig. 1a).
The multilevel matching strategy makes our method more efficient by removing the redundant computation in the matching procedure.
We now discuss the matching procedure.
However, the matching procedure reduces the number of observations considerably.
The matching procedure is described in Fig. 1a.
The matching procedure was the same as for Experiment 1a (2a).
In the matching procedure, 212 matching groups were identified.
The matching procedure was performed without replacement.
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