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The Lengths of Psychiatric Hospital Stays and Community Stays

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  • Steven Stern
  • Frederick Holt
  • Elizabeth Merwin

Abstract

We use advanced survival analysis methods to estimate the parameters affecting the joint distribution of exit dates from psychiatric hospitals and return dates to those hospitals. Data comes from Virginia state psychiatric hospital administrative records. We find that sex, marital status, employment status, diagnosis, and age help explain durations. We also find that there is significant duration dependence and unobserved heterogeneity which suggest that earlier analyses in this field that used simpler estimation methods were flawed.

Suggested Citation

  • Steven Stern & Frederick Holt & Elizabeth Merwin, 1998. "The Lengths of Psychiatric Hospital Stays and Community Stays," Virginia Economics Online Papers 324, University of Virginia, Department of Economics.
    • Handle: RePEc:vir:virpap:324
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    File URL: http://repec.as.virginia.edu/RePEc/vir/virpap/papers/virpap324.pdf
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    Cited by:

    1. Gordana Paric & Paul Rilstone, 2000. "Nonparametric Identification of Latent Competing Risks and Roy Duration Models," Econometric Society World Congress 2000 Contributed Papers 0716, Econometric Society.

    More about this item

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies

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