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Variable Selection for a Categorical Varying-Coefficient Model with Identifications for Determinants of Body Mass Index

Author

Listed:
  • Jiti Gao
  • Bin Peng
  • Zhao Ren
  • Xiaohui Zhang

Abstract

In this paper, we propose a variable selection procedure based on the shrinkage estimation technique for a categorical varying-coefficient model. We apply the method to identify the relevant determinants for body mass index (BMI) from a large amount of potential factors proposed in the multidisciplinary literature, using data from the 2013 National Health Interview Survey in the United States. We quantify the varying impacts of the relevant determinants of BMI across demographic groups.

Suggested Citation

  • Jiti Gao & Bin Peng & Zhao Ren & Xiaohui Zhang, 2015. "Variable Selection for a Categorical Varying-Coefficient Model with Identifications for Determinants of Body Mass Index," Monash Econometrics and Business Statistics Working Papers 21/15, Monash University, Department of Econometrics and Business Statistics.
    • Handle: RePEc:msh:ebswps:2015-21
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    File URL: https://www.monash.edu/__data/assets/pdf_file/0010/925948/wp21-15-1.pdf
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    References listed on IDEAS

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    Cited by:

    1. Fatemeh Tajik & Mingzheng Wang & Xiaohui Zhang & Jie Han, 2020. "Evaluation of the impact of body mass index on venous thromboembolism risk factors," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-17, July.

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    More about this item

    Keywords

    ody Mass Index; Obesity; Varying-Coefficient; Variable Selection;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development

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