Author:
Heid, Frank
Title: Testing Increasing Spread when there are errors in the data
Abstract: The concept of increasing spread was used in Hildenbrand (1993) in
order to test the Law of Demand. It was shown that the average income
effect of households' demand is positive. In this paper we analyze the
results given there under the assumption that the data contains reporting
errors of the interviewed households. In particular, we give a sensitivity
analysis of income and expenditure errors. It turns out that the bias of an
assumed income error is less crucial than its variance. Much more robust are
the estimations to assumed errors in the expenditure data.
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Creation-Date: Juni 1994
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