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Estimating the Cost of Children from New Zealand Quasi‐unit Record Data of Household Consumption

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  • Claudio Michelini
Abstract
This paper utilizes quasi‐unit record data on expenditures and incomes of New Zealand households of different demographic profiles to estimate alternative versions of a preference‐consistent complete demand system. From the estimated models, it computes the households’ expenditure elasticities and the equivalence scales required by households of different demographic profiles to attain comparable utility levels.

Suggested Citation

  • Claudio Michelini, 2001. "Estimating the Cost of Children from New Zealand Quasi‐unit Record Data of Household Consumption," The Economic Record, The Economic Society of Australia, vol. 77(239), pages 383-392, December.
    • Handle: RePEc:bla:ecorec:v:77:y:2001:i:239:p:383-392
    DOI: 10.1111/1475-4932.00031
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    Cited by:

    1. Jin-Long Liu & Ching-Chun Hsu, 2004. "Economies of scale, gender discrimination, and cost of children," Applied Economics Letters, Taylor & Francis Journals, vol. 11(6), pages 377-382.
    2. Garcia-Diaz Rocio, 2012. "Demand-Based Cost-of-Children Estimates and Child Poverty," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 12(1), pages 1-32, January.
    3. Valero-Gil, Jorge, 2008. "Remittances and the household’s expenditures on health," MPRA Paper 9572, University Library of Munich, Germany.
    4. Christian Dudel & Jan Marvin Garbuszus & Julian Schmied, 2021. "Assessing differences in household needs: a comparison of approaches for the estimation of equivalence scales using German expenditure data," Empirical Economics, Springer, vol. 60(4), pages 1629-1659, April.
    5. Toshinobu Matsuda, 2007. "Linearizing the inverse quadratic almost ideal demand system," Applied Economics, Taylor & Francis Journals, vol. 39(3), pages 381-396.
    6. Michael Fesseha Yohannes & Toshinobu Matsuda, 2016. "Weather Effects on Household Demand for Coffee and Tea in Japan," Agribusiness, John Wiley & Sons, Ltd., vol. 32(1), pages 33-44, January.

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