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Modelling Primary Health Care Use: A Panel Zero Inflated Interval Regression Approach

Author

Listed:
  • Sarah Brown

    (Department of Economics, The University of Sheffield)

  • Mark N. Harris

    (Department of Econometrics and Quantitative Modelling, Curtin University, Australia)

  • Jennifer Roberts

    (Department of Economics, The University of Sheffield)

  • Karl Taylor

    (Department of Economics, The University of Sheffield)

Abstract

We introduce the (panel) zero-inflated interval regression (ZIIR) model, to investigate GP visits using individual-level data from the British Household Panel Survey. The ZIIR is particularly suitable for this application as it jointly estimates the probability of visiting the GP and then, conditional on visiting, the frequency of visits (defined by given numerical intervals in the data). The results show that different socio-economic factors influence the probability of visiting the GP and the frequency of visits.

Suggested Citation

  • Sarah Brown & Mark N. Harris & Jennifer Roberts & Karl Taylor, 2012. "Modelling Primary Health Care Use: A Panel Zero Inflated Interval Regression Approach," Working Papers 2012026, The University of Sheffield, Department of Economics.
    • Handle: RePEc:shf:wpaper:2012026
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    File URL: http://www.shef.ac.uk/economics/research/serps/articles/2012_026.html
    File Function: First version, 2012
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    More about this item

    Keywords

    GP visits; panel data; zero-Inflated Interval Regression;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

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