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Data Visualization and Health Econometrics

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  • Jones, Andrew M.

Abstract

This article reviews econometric methods for health outcomes and health care costs that are used for prediction and forecasting, risk adjustment, resource allocation, technology assessment, and policy evaluation. It focuses on the principles and practical application of data visualization and statistical graphics and how these can enhance applied econometric analysis. Particular attention is devoted to methods for skewed and heavy-tailed distributions. Practical examples show how these methods can be applied to data on individual healthcare costs and health outcomes. Topics include: an introduction to data visualization; data description and regression; generalized linear models; flexible parametric models; semiparametric models; and an application to biomarkers.

Suggested Citation

  • Jones, Andrew M., 2017. "Data Visualization and Health Econometrics," Foundations and Trends(R) in Econometrics, now publishers, vol. 9(1), pages 1-78, August.
    • Handle: RePEc:now:fnteco:0800000033
    DOI: 10.1561/0800000033
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    References listed on IDEAS

    as
    1. Baltagi, Badi H., 2015. "The Oxford Handbook of Panel Data," OUP Catalogue, Oxford University Press, number 9780199940042.
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    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Meeting round-up: Health Economists’ Study Group (HESG) Winter 2019
      by Rita Faria in The Academic Health Economists' Blog on 2019-01-23 07:00:08

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    Cited by:

    1. Benzeval, Michaela & Davillas, Apostolos & Kumari, Meena & Lynn, Peter, 2014. "Understanding Society: The UK Household Longitudinal Study Biomarker User Guide and Glossary," MPRA Paper 114713, University Library of Munich, Germany.
    2. Apostolos Davillas & Andrew M. Jones, 2018. "Parametric models for biomarkers based on flexible size distributions," Health Economics, John Wiley & Sons, Ltd., vol. 27(10), pages 1617-1624, October.

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    More about this item

    Keywords

    Econometric methods; Data visualization; Flexible parametric models; Semiparametric models; Healthcare cost regressions;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • I10 - Health, Education, and Welfare - - Health - - - General

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