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    <title>EconStor Collection:</title>
    <link>https://hdl.handle.net/10419/65668</link>
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        <rdf:li rdf:resource="https://hdl.handle.net/10419/319650" />
        <rdf:li rdf:resource="https://hdl.handle.net/10419/329767" />
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    <dc:date>2026-05-09T18:49:54Z</dc:date>
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  <item rdf:about="https://hdl.handle.net/10419/319650">
    <title>Cash or care? Insights from the German long-term care system</title>
    <link>https://hdl.handle.net/10419/319650</link>
    <description>Title: Cash or care? Insights from the German long-term care system
Authors: Kesternich, Iris; Romahn, André; Van Biesebroeck, Johannes; van Damme, Marjolein
Abstract: The German universal long-term care (LTC) insurance program offers beneficiaries the choice between in-kind services and a cash benefit, which can be used for anything, including informal care. The optimal level of the cash benefit de- pends on substitution between formal and informal care options, the cost of public funds, and distributional considerations. To evaluate various policy options, we estimate a randomcoefficients demand model for the period 1999-2015 using data on the universe of LTC patients supplemented with micro moments from the German Mikrozensus. Results show strong heterogeneity in patient preferences for the three different LTC options: informal, ambulatory and stationary care. Acounterfactual analysis predicts that abolishing the cash subsidy leads to a decline in patient sur- plus that far outweighs the savings in public expenditure. It suggests that many countries could benefit from the introduction of a cash subsidy option for LTC.</description>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
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  <item rdf:about="https://hdl.handle.net/10419/329767">
    <title>Effizienzpotenziale einer Reform der Notfallversorgung: Quantifizierung auf Basis verfügbarer Daten</title>
    <link>https://hdl.handle.net/10419/329767</link>
    <description>Title: Effizienzpotenziale einer Reform der Notfallversorgung: Quantifizierung auf Basis verfügbarer Daten
Authors: Schreyögg, Jonas; Messerle, Robert
Abstract: Die Struktur der Notfallversorgung in Deutschland muss grundlegend verbessert werden, darüber besteht weitgehend Einigkeit. Seit spätestens 2018 und dem Gutachten des SVR Gesundheit wird intensiv ein in den Grundzügen unveränderter Reformvorschlag diskutiert. Über das Stadium eines Gesetzentwurfes kamen die Reformideen bisher jedoch nicht hinaus. Dabei ist das Potenzial, dass eine solche Reform heben könnte, erheblich, wird in der Diskussion aber oft vernachlässigt. Im Folgenden soll eine Abschätzung der finanziellen Auswirkungen einer umfangreichen Reform der Notfallversorgung versucht werden.</description>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="https://hdl.handle.net/10419/284369">
    <title>The European COvid Survey (ECOS): Technical report</title>
    <link>https://hdl.handle.net/10419/284369</link>
    <description>Title: The European COvid Survey (ECOS): Technical report
Authors: Sabat, Iryna; Neumann-Böhme, Sebastian; Stargardt, Tom; Schreyögg, Jonas
Abstract: European COvid Survey (ECOS), a longitudinal study spanning eight European countries, was initiated early in the COVID-19 pandemic. Its purpose was to comprehend public perceptions, trust, knowledge, and behaviors related to COVID-19, including vaccination. The study aimed to enable timely monitoring and assess relationships between these variables, producing evidence for policy and research in Europe. ECOS pursued a dual objective: first, conducting quick descriptive analyses at the end of fieldwork to produce policy-relevant evidence and share timely findings on sentiments toward containment policies, vaccinations, and vaccine types through press releases and events. These findings were valuable as they were both prompt and representative of national populations. Second, ECOS aimed to address health-economic research questions for an academic audience, utilizing advanced analytic methodologies. The resulting data-based research from ECOS provided an empirical foundation to understand longitudinal phenomena and relationships, contributing to a deeper comprehension of socioeconomic processes and behaviors during the COVID-19 pandemic. Importantly, it offered informed findings for policymakers to shape effective responses and policies. This technical report provides an account of the design, development, and methodology of 11 data collections henceforth referred to as waves of the survey, which were fielded between April 2020 and December 2022.</description>
    <dc:date>2024-01-01T00:00:00Z</dc:date>
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  <item rdf:about="https://hdl.handle.net/10419/273394">
    <title>Heterogeneity in health insurance choice: An experimental investigation of consumer choice and feature preferences</title>
    <link>https://hdl.handle.net/10419/273394</link>
    <description>Title: Heterogeneity in health insurance choice: An experimental investigation of consumer choice and feature preferences
Authors: Hermanns, Benedicta; Kairies-Schwarz, Nadja; Kokot, Johanna; Vomhof, Markus
Abstract: We investigate heterogeneity in patterns of preferences for health insurance features using health insurance choice data from a controlled laboratory experiment. Within the experiment, participants make consecutive insurance choices based on choice sets that vary in composition and size. We keep the health risk constant and equal for everyone. In addition, we implement a treatment that entails a feature-based insurance filter, allowing us to validate feature preferences. We also account for individually elicited risk preferences. On aggregate, we find that there is considerable heterogeneity in consumer choice. Participants differ particularly (a) in their willingness to pay to insure themselves against illnesses that differ in terms of their probability of occurrence and the size of the losses to be covered and (b) in their preference to forgo deductibles. However, if we measure the quality of individuals' decisions based on risk preferences, the heterogeneity among participants disappears. Our results suggest that heterogeneity in health insurance choices is not reflected in decision quality when we assume a rank-dependent expected utility model of risk preferences.</description>
    <dc:date>2023-01-01T00:00:00Z</dc:date>
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