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    <responseDate>2026-10-14T04:21:27Z</responseDate>
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        <record>
            <header>
                <identifier>oai:board.unimib.it/7vdczstjd4.1</identifier>
                <datestamp>2025-03-25T11:05:44Z</datestamp>
            </header>
            <metadata><oai_dc:dc xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
    <dc:creator id="https://orcid.org/0000-0002-9228-2759">Maranzano, Paolo</dc:creator>
    <dc:title>Hodrick-Prescott filter with jumps (Maranzano &amp; Pelagatti, 2025)</dc:title>
    <dc:publisher>Bicocca Open Archive Research Data</dc:publisher>
    <dc:description>We provide data and code to replicate the results presented in &quot;A Hodrick-Prescott Filter with automatically selected breaks&quot; (Maranzano &amp; Pelagatti, 2025).
The subfolders allow replicating the following:
1. Simulation experiments discussed in Section 3 &quot;Simulations&quot;;
2. Application results discussed in Section 4 &quot;Assessing structural breaks in the Italian labour market&quot;;
3. Simulation experiments discussed in Section 5 &quot;A comparison with other business cycle extraction methods&quot;.
For each subfolder a readme file is provided. It contains information about the reproduction steps.</dc:description>
    <dc:subject>Kalman Filtering</dc:subject>
    <dc:subject>Smoothing Algorithm</dc:subject>
    <dc:subject>Monte Carlo Simulation</dc:subject>
    <dc:subject>Time Series</dc:subject>
    <dc:subject>Labor Market</dc:subject>
    <dc:contributor id="https://orcid.org/0000-0002-1860-7535">Pelagatti, Matteo</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/7vdczstjd4.1</dc:identifier>
    <dc:identifier>oai:board.unimib.it/7vdczstjd4.1</dc:identifier>
    <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
    <dc:rights>http://creativecommons.org/licenses/by/4.0</dc:rights>
    <dc:relation>https://board.unimib.it/datasets/7vdczstjd4</dc:relation>
    <dc:date>2025-03-25T11:05:44Z</dc:date>
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