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  <title>EconStor Community:</title>
  <link rel="alternate" href="https://hdl.handle.net/10419/153" />
  <subtitle />
  <id>https://hdl.handle.net/10419/153</id>
  <updated>2026-04-28T11:39:21Z</updated>
  <dc:date>2026-04-28T11:39:21Z</dc:date>
  <entry>
    <title>Forschungsbericht 2024</title>
    <link rel="alternate" href="https://hdl.handle.net/10419/312876" />
    <author>
      <name />
    </author>
    <id>https://hdl.handle.net/10419/312876</id>
    <updated>2025-04-25T04:59:46Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Title: Forschungsbericht 2024
Editors: Universität Lüneburg - Institut für Volkswirtschaftslehre
Abstract: Das Institut für Volkswirtschaftslehre der Leuphana Universität Lüneburg (Fakultät Staatswissenschaften) legt hiermit seinen neunzehnten eigenständigen Forschungsbericht vor. Wir möchten mit unserem Bericht alle Interessenten an unserer wissenschaftlichen Arbeit in kompakter Form über die von uns bearbeiteten Forschungsthemen und die dabei erarbeiteten Publikationen sowie unsere weiteren Leistungen im Berichtsjahr 2024 unterrichten.</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Firm characteristics of two-way traders: Evidence from Probit vs. Kernel-Regularized Least Squares regressions</title>
    <link rel="alternate" href="https://hdl.handle.net/10419/324172" />
    <author>
      <name>Wagner, Joachim</name>
    </author>
    <id>https://hdl.handle.net/10419/324172</id>
    <updated>2025-08-23T03:48:38Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Title: Firm characteristics of two-way traders: Evidence from Probit vs. Kernel-Regularized Least Squares regressions
Authors: Wagner, Joachim
Abstract: Firm characteristics in empirical models for margins of international trade usually enter these models in linear form. If non-linearities do matter and are ignored this leads to biased results. Researchers, however, can never be sure that all possible non-linear relationships are taken care of. A solution is provided by Kernel Regularized Least Squares (KRLS) that uses a machine learning approach to learn the functional form from the data. While in earlier applications the big picture revealed by standard empirical models and KRLS was identical this note presents a case where results from a standard approach and KRLS do differ considerably.</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Firm characteristics and survival in times of COVID 19: First evidence from Kernel Regularized Least Squares regressions</title>
    <link rel="alternate" href="https://hdl.handle.net/10419/324243" />
    <author>
      <name>Wagner, Joachim</name>
    </author>
    <id>https://hdl.handle.net/10419/324243</id>
    <updated>2025-08-23T03:48:21Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Title: Firm characteristics and survival in times of COVID 19: First evidence from Kernel Regularized Least Squares regressions
Authors: Wagner, Joachim
Abstract: This paper uses firm level data from the World Bank Enterprise surveys conducted in 2019 and from the COVID-19 follow-up surveys conducted in 2020 in eight European countries to investigate the link between firm characteristics before the pandemic and firm survival until 2020. For the first time the marginal effects of firm characteristics are computed by a new machine-learning estimator, Kernel Regularized Least Squares (KRLS), which makes no restrictive assumptions regarding the functional form of the empirical model used. A comparison with results from a standard parametric approach, Probit regression, reveals important differences.</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>The effect of price transparency: Assessment of the German Highway Retail Gasoline Sector</title>
    <link rel="alternate" href="https://hdl.handle.net/10419/324286" />
    <author>
      <name>Kleineberg, Christoph</name>
    </author>
    <id>https://hdl.handle.net/10419/324286</id>
    <updated>2025-08-23T03:48:28Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Title: The effect of price transparency: Assessment of the German Highway Retail Gasoline Sector
Authors: Kleineberg, Christoph
Abstract: Increasing competition and reducing market power are core interests of economists, regulators and the public to maximise aggregate social welfare. Low prices are achieved through intense competition in the retail gasoline market. The absence of fierce competition is referred to as market power. Market power is defined as a firm's ability to influence the market price. In this paper, I analyse the extent to which highway gasoline stations and the nearest truck stop influence each other's prices. The key question is whether proximity to a truck stop reduces the price of gasoline at highway stations. It is also an assessment of the impact of increased transparency on the German retail gasoline market along the highway system. The analysis is based on 287 German highway gasoline stations and the nearest truck stop. Additionally, two subsamples of 29 highway gasoline stations near truck stops and 29 highway gasoline stations located farther away from truck stops are examined. The results indicate that higher prices persist in the German highway gasoline retail market. Gasoline retailers expect the majority of customers to not compare prices between highway gasoline stations and the closest truck stop by using mobile devices. Despite offering complete price transparency, low transaction costs, and homogeneous products, highway gasoline stations maintain a dominant market position. This changes significantly if the truck stop is near the highway gasoline station (within 5 kilometres). If a driver has just passed a truck stop or seen a sign indicating a truck stop, the price premium at the highway gasoline station decreases significantly, from 12-14 Cents per litre to 2-3 Cents per litre. Consequently, traditional price transparency has a significant impact on competition, resulting in lower prices.</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
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