<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>EconStor Collection: Beiträge zur angewandten Wirtschaftsforschung, CAWM, Universität Münster</title>
    <link>http://hdl.handle.net/10419/51244</link>
    <description />
    <textInput>
      <title>The Collection's search engine</title>
      <description>Search the Channel</description>
      <name>search</name>
      <link>http://www.econstor.eu/simple-search</link>
    </textInput>
    <item>
      <title>Analysing wage differences between the USA and Germany using proportional hazards models</title>
      <link>http://hdl.handle.net/10419/51419</link>
      <description>Title: Analysing wage differences between the USA and Germany using proportional hazards models
&lt;br/&gt;
&lt;br/&gt;Authors: Behr, Andreas; Pötter, Ulrich
&lt;br/&gt;
&lt;br/&gt;Abstract: We analyse differences between the wage distributions in the USA and Germany in 2001 both for women and men. The empirical analysis is based on the decomposition of differences using Cox's marginal (partial) likelihood. The approach based on rank invariant estimators such as Cox's is borrowed from the literature on failure time data. Donald et al. (2000) pioneered this approach. However, they did not use the full power of the semi-parametric approach. Instead, they argued for using a piecewise constant hazard rate model. We improve on their work by showing that the semi-parametric features of Cox's marginal likelihood are as appropriate for the analysis of wage decompositions and as easy to interpret. Moreover, we extend their approach by allowing for nonlinear regression effects. We will show empirically that this formulation will both increase the flexibility of their approach and improve the discriminatory power between wage regimes.</description>
      <pubDate>Sat, 29 Oct 2005 22:58:59 GMT</pubDate>
    </item>
    <item>
      <title>The impact of banking behaviour on monetary strategy in Europe</title>
      <link>http://hdl.handle.net/10419/51418</link>
      <description>Title: The impact of banking behaviour on monetary strategy in Europe
&lt;br/&gt;
&lt;br/&gt;Authors: Borchert, Manfred
&lt;br/&gt;
&lt;br/&gt;Abstract: At present, Western European banks are increasingly branching out into asset management as well as the consulting business, which cannot be influenced directly by monetary controls. We have therefore conducted a factor analysis of banks' balance-sheet items, and we have also plotted figures from banks' income statements. Our analyses fulfil a triple purpose. First, they shed much light on the positioning strategies deployed by European banks. Secondly, they reveal various tendencies in respect of the refinancing strategies that are adopted when credits are granted to non-banks. Thirdly, they facilitate an assessment of the effectiveness of monetary policy. There is clear evidence that the European Central Bank's money supply policy will prove progressively less efficient as banks resort increasingly to refinancing by assets and continue to expand their banking services by building up their consulting businesses.</description>
      <pubDate>Fri, 29 Oct 2004 22:58:59 GMT</pubDate>
    </item>
    <item>
      <title>Analysing wage differences between the USA and Germany using proportional hazards models</title>
      <link>http://hdl.handle.net/10419/51419</link>
      <description>Title: Analysing wage differences between the USA and Germany using proportional hazards models
&lt;br/&gt;
&lt;br/&gt;Authors: Behr, Andreas; Pötter, Ulrich
&lt;br/&gt;
&lt;br/&gt;Abstract: We analyse differences between the wage distributions in the USA and Germany in 2001 both for women and men. The empirical analysis is based on the decomposition of differences using Cox's marginal (partial) likelihood. The approach based on rank invariant estimators such as Cox's is borrowed from the literature on failure time data. Donald et al. (2000) pioneered this approach. However, they did not use the full power of the semi-parametric approach. Instead, they argued for using a piecewise constant hazard rate model. We improve on their work by showing that the semi-parametric features of Cox's marginal likelihood are as appropriate for the analysis of wage decompositions and as easy to interpret. Moreover, we extend their approach by allowing for nonlinear regression effects. We will show empirically that this formulation will both increase the flexibility of their approach and improve the discriminatory power between wage regimes.</description>
      <pubDate>Sat, 29 Oct 2005 22:58:59 GMT</pubDate>
    </item>
    <item>
      <title>The impact of banking behaviour on monetary strategy in Europe</title>
      <link>http://hdl.handle.net/10419/51418</link>
      <description>Title: The impact of banking behaviour on monetary strategy in Europe
&lt;br/&gt;
&lt;br/&gt;Authors: Borchert, Manfred
&lt;br/&gt;
&lt;br/&gt;Abstract: At present, Western European banks are increasingly branching out into asset management as well as the consulting business, which cannot be influenced directly by monetary controls. We have therefore conducted a factor analysis of banks' balance-sheet items, and we have also plotted figures from banks' income statements. Our analyses fulfil a triple purpose. First, they shed much light on the positioning strategies deployed by European banks. Secondly, they reveal various tendencies in respect of the refinancing strategies that are adopted when credits are granted to non-banks. Thirdly, they facilitate an assessment of the effectiveness of monetary policy. There is clear evidence that the European Central Bank's money supply policy will prove progressively less efficient as banks resort increasingly to refinancing by assets and continue to expand their banking services by building up their consulting businesses.</description>
      <pubDate>Fri, 29 Oct 2004 22:58:59 GMT</pubDate>
    </item>
  </channel>
</rss>

