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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.

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File URL: http://www.virginia.edu/economics/RePEc/vir/virpap/papers/virpap324.pdf
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Bibliographic Info

Paper provided by University of Virginia, Department of Economics in its series Virginia Economics Online Papers with number 324.

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Length: 32 pages
Date of creation: Nov 1998
Date of revision:
Handle: RePEc:vir:virpap:324

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Web page: http://www.virginia.edu/economics/home.html

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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, Econometric Society 0716, Econometric Society.

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