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      <record key="001" att1="001" value="142582" att2="142582">001   142582</record>
      <field key="037" subkey="x">englisch</field>
      <field key="050" subkey="x">Forschungsbericht</field>
      <field key="076" subkey="">Ökonomie</field>
      <field key="079" subkey="y">http://www.ihs.ac.at/publications/eco/es-114.pdf</field>
      <field key="079" subkey="z">Weber, Andrea, State Dependence and Wage Dynamics: A Heterogeneous Markov Chain Model for Wage Mobility in Austria (pdf)</field>
      <field key="079" subkey="y">http://ideas.repec.org/p/ihs/ihsesp/114.html</field>
      <field key="079" subkey="z">Institute for Advanced Studies. Economics Series; 114 (RePEc)</field>
      <field key="100" subkey="">Weber, Andrea</field>
      <field key="103" subkey="">Department of Economics and Finance, Institute for Advanced Studies, Vienna</field>
      <field key="331" subkey="">State Dependence and Wage Dynamics: A Heterogeneous Markov Chain Model for Wage Mobility in Austria</field>
      <field key="403" subkey="">1. Ed.</field>
      <field key="410" subkey="">Wien</field>
      <field key="412" subkey="">Institut für Höhere Studien</field>
      <field key="425" subkey="">2002, April</field>
      <field key="433" subkey="">23 pp.</field>
      <field key="451" subkey="">Institut für Höhere Studien; Reihe Ökonomie; 114</field>
      <field key="451" subkey="h">Kunst, Robert M. (Ed.) ; Fisher, Walter (Assoc. Ed.) ; Ritzberger, Klaus (Assoc. Ed.)</field>
      <field key="461" subkey="">Economics Series</field>
      <field key="517" subkey="c">from the Table of Contents: Introduction; Model and Estimation Method; Data; Results; Conclusion;</field>
      <field key="542" subkey="">1605-7996</field>
      <field key="544" subkey="">IHSES 114</field>
      <field key="700" subkey="">C23</field>
      <field key="700" subkey="">C25</field>
      <field key="700" subkey="">J31</field>
      <field key="700" subkey="">J60</field>
      <field key="720" subkey="">Wage mobility</field>
      <field key="720" subkey="">Markov process</field>
      <field key="720" subkey="">Fixed effects panel estimation</field>
      <field key="753" subkey="">Abstract: The behaviour of individual movements in the wage distribution over time can be described by a Markov process. To</field>
      <field key="inv" subkey="e">stigate wage mobility in terms of transitions between quintiles in the wage distribution we apply a fixed effects panel</field>
      <field key="est" subkey="i">mation method suggested by Honorè and Kyriazidou (2000). This method of mobility measurement is robust to data contamination</field>
      <field key="lik" subkey="e">all methods that treat fractiles. Moreover it allows for the inclusion of exogenous variables that change over time. We</field>
      <field key="app" subkey="l">y the estimator to a set of individual data form the Austrian social security records and find that disregarding unobserved</field>
      <field key="het" subkey="e">rogeneity greatly underestimates wage mobility. Simulated earnings profiles show that women are less mobile than men and have</field>
      <field key="a t" subkey="e">ndency to be stuck in the lower part of the wage distribution.;</field>
    </SEQUENTIAL>
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