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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">IJPDS</journal-id>
      <journal-title-group>
        <journal-title>International Journal of Population Data Science</journal-title>
        <abbrev-journal-title>IJPDS</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="epub">2399-4908</issn>
      <publisher>
        <publisher-name>Swansea University</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.23889/ijpds.v10i3.3288</article-id>
      <article-id pub-id-type="publisher-id">10:3:254</article-id>
      <title-group>
        <article-title>Formal school exclusions over the educational lifecourse in Wales</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Jones</surname>
            <given-names initials="K">Kyle</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Palmou</surname>
            <given-names initials="C">Christina</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
          <xref ref-type="aff" rid="affil-2">2</xref>
        </contrib>
      </contrib-group>
      <aff id="affil-1"><label>1</label><institution>Office for National Statistics, London, United Kingdom</institution></aff>
      <aff id="affil-2"><label>2</label><institution>Kings College London, London, United Kingdom</institution></aff>
      <pub-date date-type="pub" publication-format="electronic">
        <day>01</day>
        <month>06</month>
        <year>2025</year>
      </pub-date>
      <pub-date date-type="collection" publication-format="electronic">
        <year>2025</year>
      </pub-date>
      <volume>8</volume>
      <issue>4</issue>
      <elocation-id>3288</elocation-id>
      <permissions>
        <license license-type="open-access"
          xlink:href="https://creativecommons.org/licences/by/4.0/">
          <license-p>This work is licenced under a Creative Commons Attribution 4.0 International License.</license-p>
        </license>
      </permissions>
      <self-uri xlink:href="https://ijpds.org/article/view/3288">This article is available from the IJPDS website at: https://ijpds.org/article/view/3288</self-uri>
    </article-meta>
  </front>
  <body>
    <sec>
      <title>Objectives</title>
      <p>Linking administrative data on Trade in Goods with survey data from the Office for National Statistics (ONS) we explore the mechanisms through which a firm’s engagement in international trade impacts labour productivity across its lifecycle and the wages they subsequently pay workers.</p>
    </sec>
    <sec>
      <title>Methods</title>
      <p>Using a novel linking and apportionment process, we link HMRC Trade in Goods data to the ONS’s Interdepartmental Business Register (IDBR). We then link to the UK’s Annual Business Survey (ABS). Utilising firm-level data on labour productivity and services trade from the ABS we provide a holistic view on the association between productivity and international trade in both goods and services trade. Focusing specifically on goods trade, for which we have near population level data, we employ a difference-in-difference design to estimate the causal boost in productivity following a firms first reported goods export.</p>
    </sec>
    <sec>
      <title>Results</title>
      <p>Consistent with the literature, we find that while most of the productivity gap between exporters and non-exporters is due to selection, beginning to export goods still drives a 10 percent increase in labour productivity. Using a differences-in-differences design, we find that goods exporters-to-be are 40 percent more productive than firms that never export even before the time of first export.</p>
      <p>Comparing firms who will ever export, we find that while there are no differences in productivity before exporting, there is a 10 percent increase in labour productivity of an exporter compared with future exporters, after they enter international markets. At the intensive margin we find that productivity benefits accrue only to larger exporters. These estimates are particularly relevant for policymakers aiming to use export support policy to support UK growth.</p>
    </sec>
    <sec>
      <title>Conclusion</title>
      <p>This work demonstrates the important role administrative data and microdata linking can play in filling key evidence gaps in the UK’s most pressing policy areas. We provide reflections on the challenges researchers face whilst working with administrative data and the role working collaboratively with government can play in supporting impactful policy relevant research.</p>
    </sec>
  </body>
</article>