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    <title>PyPI recent updates for insurance-causal</title>
    <link>https://pypi.org/project/insurance-causal/</link>
    <description>Recent updates to the Python Package Index for insurance-causal</description>
    <language>en</language>    <item>
      <title>0.6.3</title>
      <link>https://pypi.org/project/insurance-causal/0.6.3/</link>
      <description>Causal inference for insurance pricing: double machine learning, price elasticity, heterogeneous treatment effects, and post-hoc rate change evaluation for UK personal lines.</description>
<author>pricing.frontier@gmail.com</author>      <pubDate>Sat, 04 Apr 2026 17:35:35 GMT</pubDate>
    </item>    <item>
      <title>0.6.2</title>
      <link>https://pypi.org/project/insurance-causal/0.6.2/</link>
      <description>Causal inference for insurance pricing: DML, AutoDML via Riesz Representers, causal price elasticity, heterogeneous treatment effects, and post-hoc rate change evaluation.</description>
<author>pricing.frontier@gmail.com</author>      <pubDate>Fri, 27 Mar 2026 20:10:43 GMT</pubDate>
    </item>    <item>
      <title>0.6.1</title>
      <link>https://pypi.org/project/insurance-causal/0.6.1/</link>
      <description>Causal inference for insurance pricing: DML, AutoDML via Riesz Representers, causal price elasticity, heterogeneous treatment effects, and post-hoc rate change evaluation.</description>
<author>pricing.frontier@gmail.com</author>      <pubDate>Wed, 25 Mar 2026 12:34:24 GMT</pubDate>
    </item>    <item>
      <title>0.6.0</title>
      <link>https://pypi.org/project/insurance-causal/0.6.0/</link>
      <description>Causal inference for insurance pricing: DML, AutoDML via Riesz Representers, causal price elasticity, heterogeneous treatment effects, and post-hoc rate change evaluation.</description>
<author>pricing.frontier@gmail.com</author>      <pubDate>Wed, 25 Mar 2026 03:57:15 GMT</pubDate>
    </item>    <item>
      <title>0.5.2</title>
      <link>https://pypi.org/project/insurance-causal/0.5.2/</link>
      <description>Causal inference for insurance pricing: DML, AutoDML via Riesz Representers, causal price elasticity, and heterogeneous treatment effects.</description>
<author>pricing.frontier@gmail.com</author>      <pubDate>Mon, 23 Mar 2026 04:47:56 GMT</pubDate>
    </item>    <item>
      <title>0.5.0</title>
      <link>https://pypi.org/project/insurance-causal/0.5.0/</link>
      <description>Causal inference for insurance pricing: DML, AutoDML via Riesz Representers, causal price elasticity, and heterogeneous treatment effects.</description>
<author>pricing.frontier@gmail.com</author>      <pubDate>Sun, 22 Mar 2026 01:54:47 GMT</pubDate>
    </item>    <item>
      <title>0.4.3</title>
      <link>https://pypi.org/project/insurance-causal/0.4.3/</link>
      <description>Causal inference for insurance pricing: DML, AutoDML via Riesz Representers, causal price elasticity, and heterogeneous treatment effects.</description>
<author>pricing.frontier@gmail.com</author>      <pubDate>Fri, 20 Mar 2026 14:37:29 GMT</pubDate>
    </item>    <item>
      <title>0.4.2</title>
      <link>https://pypi.org/project/insurance-causal/0.4.2/</link>
      <description>Causal inference for insurance pricing: DML, AutoDML via Riesz Representers, causal price elasticity, and heterogeneous treatment effects.</description>
<author>pricing.frontier@gmail.com</author>      <pubDate>Fri, 20 Mar 2026 14:31:21 GMT</pubDate>
    </item>    <item>
      <title>0.4.1</title>
      <link>https://pypi.org/project/insurance-causal/0.4.1/</link>
      <description>Causal inference for insurance pricing: DML, AutoDML via Riesz Representers, causal price elasticity, and heterogeneous treatment effects.</description>
<author>pricing.frontier@gmail.com</author>      <pubDate>Fri, 20 Mar 2026 13:50:40 GMT</pubDate>
    </item>    <item>
      <title>0.4.0</title>
      <link>https://pypi.org/project/insurance-causal/0.4.0/</link>
      <description>Causal inference for insurance pricing: DML, AutoDML via Riesz Representers, causal price elasticity, and heterogeneous treatment effects.</description>
<author>pricing.frontier@gmail.com</author>      <pubDate>Fri, 20 Mar 2026 11:40:22 GMT</pubDate>
    </item>    <item>
      <title>0.3.3</title>
      <link>https://pypi.org/project/insurance-causal/0.3.3/</link>
      <description>Causal inference for insurance pricing: DML, AutoDML via Riesz Representers, and causal price elasticity.</description>
<author>pricing.frontier@gmail.com</author>      <pubDate>Thu, 19 Mar 2026 18:37:35 GMT</pubDate>
    </item>    <item>
      <title>0.3.2</title>
      <link>https://pypi.org/project/insurance-causal/0.3.2/</link>
      <description>Causal inference for insurance pricing: DML, AutoDML via Riesz Representers, and causal price elasticity.</description>
<author>pricing.frontier@gmail.com</author>      <pubDate>Tue, 17 Mar 2026 11:01:32 GMT</pubDate>
    </item>    <item>
      <title>0.2.3</title>
      <link>https://pypi.org/project/insurance-causal/0.2.3/</link>
      <description>Causal inference for insurance pricing: DML, AutoDML via Riesz Representers, and causal price elasticity.</description>
<author>pricing.frontier@gmail.com</author>      <pubDate>Tue, 17 Mar 2026 10:59:47 GMT</pubDate>
    </item>    <item>
      <title>0.3.1</title>
      <link>https://pypi.org/project/insurance-causal/0.3.1/</link>
      <description>Causal inference for insurance pricing: DML, AutoDML via Riesz Representers, and causal price elasticity.</description>
<author>pricing.frontier@gmail.com</author>      <pubDate>Tue, 17 Mar 2026 07:23:24 GMT</pubDate>
    </item>    <item>
      <title>0.3.0</title>
      <link>https://pypi.org/project/insurance-causal/0.3.0/</link>
      <description>Causal inference for insurance pricing: DML, AutoDML via Riesz Representers, and causal price elasticity.</description>
<author>pricing.frontier@gmail.com</author>      <pubDate>Tue, 17 Mar 2026 05:17:03 GMT</pubDate>
    </item>    <item>
      <title>0.2.1</title>
      <link>https://pypi.org/project/insurance-causal/0.2.1/</link>
      <description>Causal inference for insurance pricing: DML, AutoDML via Riesz Representers, and causal price elasticity.</description>
<author>pricing.frontier@gmail.com</author>      <pubDate>Sun, 15 Mar 2026 04:24:14 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/insurance-causal/0.2.0/</link>
      <description>Causal inference for insurance pricing: DML, AutoDML via Riesz Representers, and causal price elasticity.</description>
<author>pricing.frontier@gmail.com</author>      <pubDate>Sat, 14 Mar 2026 06:01:02 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/insurance-causal/0.1.0/</link>
      <description>Causal inference for insurance pricing: a Double Machine Learning interface built for actuaries.</description>
<author>pricing.frontier@gmail.com</author>      <pubDate>Mon, 09 Mar 2026 03:27:27 GMT</pubDate>
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