Disaggregating input–output tables by the multidimensional RAS method: a case study of the Czech Republic

The RAS method is an iterative procedure that bi-proportionally scales input–output table to be consistent with given row and column sums. It can used disaggregate annual national more detailed tables, such as regional, quarterly, domestic/imported tables. However, the regular two-dimensional does not ensure consistency of disaggregated tables original table. For this problem, we use multidimensional method, which besides input output totals, also ensures totals. Our analysis Czech industries shows increases accuracy estimation well Leontief inverse, quarterly value added, (to some degree) regional Isard's model. We rigorously demonstrate its relation cross-entropy