TY - JOUR
T1 - Optimal Aggregation of Input-Output Coeffictents - A Decision Theoretic Approach
AU - Venezia, Itzhak
PY - 1980/1/1
Y1 - 1980/1/1
N2 - We present a criterion for the optimal aggregation of industries in input-output analysis, when the aggregation is made prior to data collection. This criterion is based on a model assuming that the input-output coefficients are used in some decision process, and that they are unknown (or random) prior to data collection. We show that our criterion, based on decision theoretic considerations, differs considerably from traditional criteria for good aggregation. Our model is also applied, as an example, to the Netherlands economy.
AB - We present a criterion for the optimal aggregation of industries in input-output analysis, when the aggregation is made prior to data collection. This criterion is based on a model assuming that the input-output coefficients are used in some decision process, and that they are unknown (or random) prior to data collection. We show that our criterion, based on decision theoretic considerations, differs considerably from traditional criteria for good aggregation. Our model is also applied, as an example, to the Netherlands economy.
KW - pre-data collection aggregation
KW - prior and posterior distributions
UR - http://www.scopus.com/inward/record.url?scp=84948491570&partnerID=8YFLogxK
U2 - 10.1080/03610928008827902
DO - 10.1080/03610928008827902
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AN - SCOPUS:84948491570
SN - 0361-0926
VL - 9
SP - 557
EP - 570
JO - Communications in Statistics - Theory and Methods
JF - Communications in Statistics - Theory and Methods
IS - 5
ER -