Abstract
ABSTRACT This paper investigates the application of spatial econometrics in estimating the interregional flow matrix in multisector–multiregion input–output tables. With reasonable assumptions, it demonstrates that this application can be formulated as a modified multi-equation spatial Durbin model with missing parameters estimated via maximum likelihood. The statistical performance of the model is scrutinized and the method is illustrated using regional (NUTS-3-level) economic impact assessment simulations for Poland. The proposed non-survey method empirically built on sectoral–regional data on economic activity is widely replicable across countries with promising performance against widespread benchmarks.
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