The problem of economic measurement is closely related to
applied statistics. Although we would like to incorporate
mathematical aspects into economic measurement, the validity lies in
statistical inference. Some degree of aggregation is required in
making sense and validating economic data. These aggregating rules do
reduce to utilitarian methods which lead to consequences for policy
prescriptions. These would lead to bias in decisions which have persistence
in history. For example when we consider minimum wages laws to be adhered as
positive discrimination, one would also deal with violation of
premise as outcome. The divergence from positive discrimination
would lead to stubborn deprivation in turn lead to questions of justice.
Here it may be pointed out that not only cross disciplinary perspective are
need for economic measurement of data related to society but also
better appreciation of the context in which such abstractions are made. The
vacuous measurement make improbable bias a reality.
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