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Compositional data analysis and zeros in micro data

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  • Jane Fry
  • Tim Fry
  • Keith McLaren

Abstract

The application of compositional data analysis methods in economics has some attraction. The methodology relies upon the use of 'log-ratios' in the statistical analysis. Such an approach is not possible when the data to be analysed include observations where the observed budget share is zero. We, therefore, consider and extend the methods of compositional data analysis in the situation where the data to be analysed include observations where the observed budget share is zero. The modified compositional data methods are discussed both in statistical terms and through potential economic interpretations of the method. Further, the modified methodology is applied to the 1988-89 Australian Household Expenditure Survey yielding estimates for a system of Engel curves.

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Bibliographic Info

Article provided by Taylor & Francis Journals in its journal Applied Economics.

Volume (Year): 32 (2000)
Issue (Month): 8 ()
Pages: 953-959

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Handle: RePEc:taf:applec:v:32:y:2000:i:8:p:953-959

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Cited by:
  1. Terence Mills, 2010. "Forecasting compositional time series," Quality & Quantity: International Journal of Methodology, Springer, vol. 44(4), pages 673-690, June.
  2. Johan Fourie & Dieter von Fintel, 2009. "The dynamics of inequality in a newly settled, pre-industrial society: The case of the Cape Colony," Working Papers 17/2009, Stellenbosch University, Department of Economics.
  3. Jack Gregory & David I. Stern, 2012. "Fuel Choices in Rural Maharashtra," CCEP Working Papers 1207, Centre for Climate Economics & Policy, Crawford School of Public Policy, The Australian National University.
  4. Wang, Huiwen & Liu, Qiang & Mok, Henry M.K. & Fu, Linghui & Tse, Wai Man, 2007. "A hyperspherical transformation forecasting model for compositional data," European Journal of Operational Research, Elsevier, vol. 179(2), pages 459-468, June.
  5. J. Arauzo & M. Manjón & M. Martín & A. Segarra, 2007. "Regional and Sector-specific Determinants of Industry Dynamics and the Displacement–replacement Effects," Empirica, Springer, vol. 34(2), pages 89-115, April.

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