Statistical offices try to match item models when measuring inflation between two periods. However, for product areas with a high turnover of differentiated models, the use of hedonic indexes is more appropriate since they include unmatched new and old models. There are two main competing approaches to hedonic indexes are hedonic imputation (HI) indexes and dummy time hedonic (HD) indexes. This study provides a formal analysis of exactly why the results from the two approaches may differ and discusses the issue of choice between these approaches. An illustrative study for desktop PCs is provided.
This paper presents two 'non-welfarist' approaches and one 'welfarist' approach to decompose changes in inequality and social welfare into three components. We distinguish the contributions of population, tax policy and labour supply behavioural effects. As an illustration, we decompose changes in inequality and in values of a social welfare function in Australia between 2001 and 2006. Inequality is first defined in non-welfarist terms as a function of disposable income: the independent judge places no value on leisure. Then this is modified to allow for evaluations using a weighted geometric mean of disposable income and leisure. This is seen to modify the evaluation of changes in important ways. Furthermore, the results are shown to be quite different from those obtained using a 'welfarist' evaluation in terms of money metric utility, where separate behavioural effects cannot be isolated.
Statistical offices try to match item models when measuring inflation between two periods. However, for product areas with a high turnover of differentiated models, the use of hedonic indexes is more appropriate since they include unmatched new and old models. There are two main competing approaches to hedonic indexes are hedonic imputation (HI) indexes and dummy time hedonic (HD) indexes. This study provides a formal analysis of exactly why the results from the two approaches may differ and discusses the issue of choice between these approaches. An illustrative study for desktop PCs is provided.
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