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    <title>Carsoule, F.</title>
    <link>http://repub.eur.nl/res/aut/1780/</link>
    <description>List of Publications</description>
    <language>en</language>
    <image>
      <url>http://repub.eur.nl/static-eur/img/logo.png</url>
      <title>RePub, Erasmus University Rotterdam</title>
      <link>http://repub.eur.nl</link>
    </image>
    <item>
      <title>A note on monitoring time-varying parameters in an autoregression (Article)</title>
      <link>http://repub.eur.nl/res/pub/13317/</link>
      <pubDate>2003-12-01T00:00:00Z</pubDate>
      <description>We develop a sequential testing approach for a structural change in the parameters of an autoregression, which amounts to an adaptation of the monitoring procedure, outlined in Chu, Stichcombe and White (1996). This procedure has a controlled asymptotic size as one repeats the test. Our method can be used as a general misspecification test. We apply our method to monthly US industrial production in order to investigate if its autoregressive behavior and/or its innovation variance have changed during the twentieth century.</description>
    </item> <item>
      <title>Monitoring structural change in variance, with an application to European nominal exchange rate volatility (Research Paper)</title>
      <link>http://repub.eur.nl/res/pub/1596/</link>
      <pubDate>1999-06-23T00:00:00Z</pubDate>
      <description>In this paper we propose a sequential testing approach for a structural change in the variance of a time series, which amounts to a procedure with a controlled asymptotic size as we repeat the test. Our approach builds on that taken in Chu, Stinchcombe and White (1996) for structural change in the parameters of a linear regression model. We provide simulation evidence to examine the empirical size and power of our procedure. We apply our approach to 14 weekly observed European exchange rates for 1985-1998 and we find ample evidence for the presence of structural changes in nominal exchange rate volatility, where generally a reduction of volatility is found.</description>
    </item> <item>
      <title>Monitoring time-varying parameters in an autoregression (Research Paper)</title>
      <link>http://repub.eur.nl/res/pub/1606/</link>
      <pubDate>1999-01-01T00:00:00Z</pubDate>
      <description>We develop a sequential testing approach for a structural change in the parameters of an autoregression, which amounts to a monitoring procedure with a controlled asymptotic size as we repeat the test. Our method can be used as a general misspecification test. We apply our method to monthly US industrial production in order to investigate if its autoregressive behavior and/or its innovation variance have changed during the twentieth century.</description>
    </item>
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