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  <channel rdf:about="https://hdl.handle.net/10419/306868">
    <title>EconStor Community: University of Essex, Centre for Microsimulation and Policy Analysis (CeMPA)</title>
    <link>https://hdl.handle.net/10419/306868</link>
    <description>University of Essex, Centre for Microsimulation and Policy Analysis (CeMPA)</description>
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        <rdf:li rdf:resource="https://hdl.handle.net/10419/309991" />
        <rdf:li rdf:resource="https://hdl.handle.net/10419/309992" />
        <rdf:li rdf:resource="https://hdl.handle.net/10419/324418" />
        <rdf:li rdf:resource="https://hdl.handle.net/10419/324386" />
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    <dc:date>2026-09-14T01:48:13Z</dc:date>
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  <item rdf:about="https://hdl.handle.net/10419/309991">
    <title>Impact assessment of social assistance for education on welfare distribution: A microsimulation approach using INDOMOD</title>
    <link>https://hdl.handle.net/10419/309991</link>
    <description>Title: Impact assessment of social assistance for education on welfare distribution: A microsimulation approach using INDOMOD
Authors: Setyawan, Achmad Budi; Karlina, Rina; Maruti, Retno; Wibowo, Galuh Chandra; Nastiti, Yiska Dini
Abstract: Social assistance for education is one of several instruments in Indonesia to support poor and vulnerable people. There are two main programs which is Family Hope Program (PKH) and Smart Indonesia Program (PIP). Analyzing the distributional impact to both programs is very important to improve program's effectiveness and efficiency. INDOMOD, a tax-benefit microsimulation model for Indonesia, was used in this study to evaluate the distributional effect of these programs to poverty and inequality, using Susenas as the main data. Several results from this study showed that the revocation of the education component of PKH has a more significant impact on poor and vulnerable groups than the revocation of PIP. Further, the revocation of the education component of PKH has a more significant effect on households with children than the revocation of PKH.</description>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
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  <item rdf:about="https://hdl.handle.net/10419/309992">
    <title>UKMOD country report 2022-2029</title>
    <link>https://hdl.handle.net/10419/309992</link>
    <description>Title: UKMOD country report 2022-2029
Authors: van de Ven, Justin; Popova, Daria</description>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
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  <item rdf:about="https://hdl.handle.net/10419/324418">
    <title>Welfare effects of social care policies</title>
    <link>https://hdl.handle.net/10419/324418</link>
    <description>Title: Welfare effects of social care policies
Authors: Van de Ven, Justin; Bronka, Patryk; Richiardi, Matteo
Abstract: One challenge presented by population aging is how to adjust public support for social care in a way that achieves desired quality of life outcomes without compromising budget sustainability. This study uses best-practice methods of economic analysis to explore projections for care and related public policy between 2020 and 2070 in the United Kingdom (UK). The UK is an interesting case study, as diverse social care provisions are adopted in the four constituent countries. Projections indicate that the number of people in need of care will approximately double over the prospective half century, with informal carers playing a key role in meeting the growing burden. Policy counterfactuals contrast the budgetary implications of closing the social care gap, particularly in England and Northern Ireland, and of easing poverty among informal carers</description>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
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  <item rdf:about="https://hdl.handle.net/10419/324386">
    <title>Estimating population mental health effects of the rollout of universal credit: Difference-in-differences analyses using the UK Household Longitudinal Study, 2009 - 2019</title>
    <link>https://hdl.handle.net/10419/324386</link>
    <description>Title: Estimating population mental health effects of the rollout of universal credit: Difference-in-differences analyses using the UK Household Longitudinal Study, 2009 - 2019
Authors: Marimpi, Maria; Barr, Benjamin; Baxter, Andy; Hugh-Jones, Samuel; Taylor-Robinson, David; Katikireddi, Srinivasa Vittal; Cheetam, Mandy; Morris, Steph; Monford, Luke; Richiardi, Matteo; Sutton, Matt; Bambra, Clare; Craig, Peter; Wickham, Sophie</description>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
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