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Nonparametric estimation of individual food availability along with bootstrap confidence intervals in household budget surveys

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  • Vasdekis, V. G. S.
  • Trichopoulou, A.

Abstract

An additive nonparametric model is proposed for the analysis of household budget surveys data whose estimation reduces to least squares. Parameter estimates are biased. A first-order approximation for the bias is obtained and it is used to bias correct the residuals of the model in order to construct bootstrap confidence intervals for the model parameter estimates. The results show somewhat shorter intervals than pointwise intervals which are based on a normal approximation with less bias.

Suggested Citation

  • Vasdekis, V. G. S. & Trichopoulou, A., 2000. "Nonparametric estimation of individual food availability along with bootstrap confidence intervals in household budget surveys," Statistics & Probability Letters, Elsevier, vol. 46(4), pages 337-345, February.
    • Handle: RePEc:eee:stapro:v:46:y:2000:i:4:p:337-345
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    References listed on IDEAS

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    1. Andrew Chesher, 1997. "Diet Revealed?: Semiparametric Estimation of Nutrient Intake–Age Relationships," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 160(3), pages 389-428, September.
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    1. Bonnet, Céline & Réquillart, Vincent, 2023. "The effects of taxation on the individual consumption of sugar-sweetened beverages," Economics & Human Biology, Elsevier, vol. 51(C).
    2. Coates, Jennifer & Rogers, Beatrice Lorge & Blau, Alexander & Lauer, Jacqueline & Roba, Alemzewed, 2017. "Filling a dietary data gap? Validation of the adult male equivalent method of estimating individual nutrient intakes from household-level data in Ethiopia and Bangladesh," Food Policy, Elsevier, vol. 72(C), pages 27-42.

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