<?xml version="1.0" encoding="UTF-8"?>
<collection>
<dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:invenio="http://invenio-software.org/elements/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:language>eng</dc:language>
  <dc:title>Discrete time Non-homogeneous Semi-Markov Processes applied to Models for Disability Insurance</dc:title>
  <dc:creator>D’Amico, Guglielmo</dc:creator>
  <dc:contributor>Guillén, Montserrat</dc:contributor>
  <dc:contributor>Manca, Raimondo</dc:contributor>
  <dc:contributor>Xarxa de Referència en Economia Aplicada (XREAP)</dc:contributor>
  <dc:type>info:eu-repo/semantics/workingPaper</dc:type>
  <dc:publisher>Xarxa de Referència en Economia Aplicada (XREAP)</dc:publisher>
  <dc:date>2012</dc:date>
  <dc:subject>Disability insurance</dc:subject>
  <dc:subject>Markov processes</dc:subject>
  <dc:subject>Assegurances d'invalidesa</dc:subject>
  <dc:subject>Processos de Markov</dc:subject>
  <dc:identifier>http://ddd.uab.cat/record/98299</dc:identifier>
  <dc:identifier>oai:www.recercat.cat:2072/182670</dc:identifier>
  <dc:identifier>oai:ddd.uab.cat:98299</dc:identifier>
  <dc:rights>L'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons: </dc:rights>
  <dc:rights>http://creativecommons.org/licenses/by/3.0/es/</dc:rights>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:description>In this paper, we present a stochastic model for disability insurance contracts. The model is based on a discrete time non-homogeneous semi-Markov process (DTNHSMP) to which the backward recurrence time process is introduced. This permits a more exhaustive study of disability evolution and a more efficient approach to the duration problem. The use of semi-Markov reward processes facilitates the possibility of deriving equations of the prospective and retrospective mathematical reserves. The model is applied to a sample of contracts drawn at random from a mutual insurance company.</dc:description>
</dc:dc>

</collection>