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The Impact of Inflation on Heterogeneous Groups of Households: an Application to Italy

Author

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  • Francesco CHELLI

    (Universita' Politecnica delle Marche, Dipartimento di Economia)

  • Chiara GIGLIARANO

    (Universita' Politecnica delle Marche, Dipartimento di Economia)

  • Elvio MATTIOLI

    (Universita' Politecnica delle Marche, Dipartimento di Economia)

Abstract

This paper explores the determinants of the heterogeneity in the expenditure behaviors of the Italian households, using the Households Expenditure Survey provided by the Italian National Institute of Statistics (ISTAT) for the year 2005. We assume that differences among consumers are associated with differences in their economic and socio-demographic characteristics (such as gender, employment status and age of the householder, number of household components, presence of under 18 years old components), and we look for those characteristics that better differentiate groups of households according to their purchasing patterns. We apply a nonparametric discriminant analysis based on the various expenditure budget components, and detect the most discriminating partitions of families. The technique allows us also to identify the specific goods of consumption that significantly differ across the groups identified by the best partitions. We then study the different effects of the price dynamics on subgroups of households, and propose consumer price indices specific for the optimal households groups

Suggested Citation

  • Francesco CHELLI & Chiara GIGLIARANO & Elvio MATTIOLI, 2009. "The Impact of Inflation on Heterogeneous Groups of Households: an Application to Italy," Working Papers 329, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
  • Handle: RePEc:anc:wpaper:329
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    References listed on IDEAS

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    1. Deaton, Angus S & Ruiz-Castillo, Javier & Thomas, Duncan, 1989. "The Influence of Household Composition on Household Expenditure Patterns: Theory and Spanish Evidence," Journal of Political Economy, University of Chicago Press, vol. 97(1), pages 179-200, February.
    2. C. C. Holmes & N. M. Adams, 2002. "A probabilistic nearest neighbour method for statistical pattern recognition," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(2), pages 295-306, May.
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    More about this item

    Keywords

    consumer price index; consumption; discriminant analysis; household expenditure survey;
    All these keywords.

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • H31 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - Household

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