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<articles>
<article xmlns:xlink="http://www.w3.org/1999/xlink/">
  <front>
    <article-meta>
      <title-group>
        <article-title/>
      </title-group>
      <contrib-group/>
      <pub-date pub-type="pub">
        <year>2011</year>
      </pub-date>
      <self-uri xlink:href="http://ddd.uab.cat/record/98109"/>
    </article-meta>
    <abstract>This article analyzes empirically the main existing theories on income and population city growth: increasing returns to scale, locational fundamentals and random growth. To do this we implement a threshold nonlinearity test that extends standard linear growth regression models to a dataset on urban, climatological and macroeconomic variables on 1,175 U.S. cities. Our analysis reveals the existence of increasing returns when per-capita income levels are beyond</abstract>
  </front>
  <article-type>ESTUDIS</article-type>
</article>

</articles>