 The Power of Non-parametric Demand Analysis When Applied to British Meat and Fish Consumption DataEuropean Review of Agricultural Economics, 1994, vol. 21, issue 1, 59-71 Abstract: It is possible to estimate the power of non-parametric demand analysis when applied to a particular data set using the budget hyperplanes and alternative definitions of irrational behaviour. The paper has two objectives: to identify the number of drawings needed, and to calculate the power statistic, under four alternative irrationality models, for five British meat and fish data sets that have been used elsewhere for parametric and non-parametric analysis. The mean and variance of the estimated power statistics indicate that at least 1000 drawings have to be made if an accurate figure for the power statistic is to be obtained. This is larger than that used in earlier work. The estimated power statistics also throw some light on earlier empirical results obtained using these data sets. Copyright 1994 by Oxford University Press. Date: 1994 There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it. Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:oup:erevae:v:21:y:1994:i:1:p:59-71 Ordering information: This journal article can be ordered from Access Statistics for this article European Review of Agricultural Economics is currently edited by Timothy Richards, Salvatore Di Falco, Céline Nauges and Vincenzina Caputo More articles in European Review of Agricultural Economics from Oxford University Press and the European Agricultural and Applied Economics Publications Foundation Oxford University Press, Great Clarendon Street, Oxford OX2 6DP, UK. Contact information at EDIRC. |
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