@article{46971,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Low socio-economic status is associated with higher SARS-CoV-2 incidences. In this paper we study whether this is a result of differences in (1) the frequency, (2) intensity, and/or (3) duration of local SARS-CoV-2 outbreaks depending on the local housing situations. So far, there is not clear evidence which of the three factors dominates. Using small-scale data from neighborhoods in the German city Essen and a flexible estimation approach which does not require prior knowledge about specific transmission characteristics of SARS-CoV-2, behavioral responses or other potential model parameters, we find evidence for the last of the three hypotheses. Outbreaks do not happen more often in less well-off areas or are more severe (in terms of the number of cases), but they last longer. This indicates that the socio-economic gradient in infection levels is at least in parts a result of a more sustained spread of infections in neighborhoods with worse housing conditions after local outbreaks and suggests that in case of an epidemic allocating scarce resources in containment measures to areas with poor housing conditions might have the greatest benefit.</jats:p>}},
  author       = {{Freise, Diana and Schiele, Valentin and Schmitz, Hendrik}},
  issn         = {{2045-2322}},
  journal      = {{Scientific Reports}},
  keywords     = {{Multidisciplinary}},
  number       = {{1}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Housing situations and local COVID-19 infection dynamics using small-area data}}},
  doi          = {{10.1038/s41598-023-40734-0}},
  volume       = {{13}},
  year         = {{2023}},
}

@article{60006,
  author       = {{Gutsche, Gunnar and Wetzel, Heike and Ziegler, Andreas}},
  issn         = {{0167-2681}},
  journal      = {{Journal of Economic Behavior &amp; Organization}},
  pages        = {{491--508}},
  publisher    = {{Elsevier BV}},
  title        = {{{Determinants of individual sustainable investment behavior - A framed field experiment}}},
  doi          = {{10.1016/j.jebo.2023.03.016}},
  volume       = {{209}},
  year         = {{2023}},
}

@article{30341,
  author       = {{Hoyer, Britta and van Straaten, Dirk}},
  issn         = {{2214-8043}},
  journal      = {{Journal of Behavioral and Experimental Economics}},
  keywords     = {{General Social Sciences, Economics and Econometrics, Applied Psychology}},
  pages        = {{101869}},
  publisher    = {{Elsevier BV}},
  title        = {{{Anonymity and Self-Expression in Online Rating Systems - An Experimental Analysis}}},
  doi          = {{10.1016/j.socec.2022.101869}},
  volume       = {{98}},
  year         = {{2022}},
}

@techreport{32106,
  abstract     = {{We study the consequences of modeling asymmetric bargaining power in two-person bargaining problems. Comparing application of an asymmetric version of a bargaining solution to an upfront modification of the disagreement point, the resulting distortion crucially depends on the bargaining solution concept. While for the Kalai-Smorodinsky solution weaker players benefit from modifying the disagreement point, the situation is reversed for the Nash bargaining solution. There, weaker players are better off in the asymmetric bargaining solution. When comparing application of the asymmetric versions of the Nash and the Kalai-Smorodinsky solutions, we demonstrate that there is an upper bound for the weight of a player, so that she is better off with the Nash bargaining solution. This threshold is ultimately determined by the relative utilitarian bargaining solution. From a mechanism design perspective, our results provide valuable information for a social planner, when implementing a bargaining solution for unequally powerful players.}},
  author       = {{Haake, Claus-Jochen and Streck, Thomas}},
  keywords     = {{Asymmetric bargaining power, Nash bargaining solution, Kalai-Smorodinsky bargaining solution}},
  pages        = {{17}},
  title        = {{{Distortion through modeling asymmetric bargaining power}}},
  volume       = {{148}},
  year         = {{2022}},
}

@article{31881,
  author       = {{Hoyer, Britta and De Jaegher, Kris}},
  journal      = {{International Journal of Game Theory}},
  publisher    = {{Springer}},
  title        = {{{Network Disruption and the Common-Enemy Effect}}},
  doi          = {{10.1007/s00182-022-00812-5}},
  year         = {{2022}},
}

@article{33221,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Non-pharmaceutical interventions are an effective strategy to prevent and control COVID-19 transmission in the community. However, the timing and stringency to which these measures have been implemented varied between countries and regions. The differences in stringency can only to a limited extent be explained by the number of infections and the prevailing vaccination strategies. Our study aims to shed more light on the lockdown strategies and to identify the determinants underlying the differences between countries on regional, economic, institutional, and political level. Based on daily panel data for 173 countries and the period from January 2020 to October 2021 we find significant regional differences in lockdown strategies. Further, more prosperous countries implemented milder restrictions but responded more quickly, while poorer countries introduced more stringent measures but had a longer response time. Finally, democratic regimes and stronger manifested institutions alleviated and slowed down the introduction of lockdown measures.</jats:p>}},
  author       = {{Redlin, Margarete}},
  issn         = {{0922-680X}},
  journal      = {{Journal of Regulatory Economics}},
  keywords     = {{Economics and Econometrics}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Differences in NPI strategies against COVID-19}}},
  doi          = {{10.1007/s11149-022-09452-9}},
  year         = {{2022}},
}

@article{33220,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>We provide a partial equilibrium model wherein AI provides abilities combined with human skills to provide an aggregate intermediate service good. We use the model to find that the extent of automation through AI will be greater if (a) the economy is relatively abundant in sophisticated programs and machine abilities compared to human skills; (b) the economy hosts a relatively large number of AI-providing firms and experts; and (c) the task-specific productivity of AI services is relatively high compared to the task-specific productivity of general labor and labor skills. We also illustrate that the contribution of AI to aggregate productive labor service depends not only on the amount of AI services available but on the endogenous number of automated tasks, the relative productivity of standard and IT-related labor, and the substitutability of tasks. These determinants also affect the income distribution between the two kinds of labor. We derive several empirical implications and identify possible future extensions.</jats:p>}},
  author       = {{Gries, Thomas and Naudé, Wim}},
  issn         = {{2510-5019}},
  journal      = {{Journal for Labour Market Research}},
  keywords     = {{General Medicine}},
  number       = {{1}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Modelling artificial intelligence in economics}}},
  doi          = {{10.1186/s12651-022-00319-2}},
  volume       = {{56}},
  year         = {{2022}},
}

@article{33219,
  author       = {{Gries, Thomas and Müller, Veronika and Jost, John T.}},
  issn         = {{1047-840X}},
  journal      = {{Psychological Inquiry}},
  keywords     = {{General Psychology}},
  number       = {{2}},
  pages        = {{65--83}},
  publisher    = {{Informa UK Limited}},
  title        = {{{The Market for Belief Systems: A Formal Model of Ideological Choice}}},
  doi          = {{10.1080/1047840x.2022.2065128}},
  volume       = {{33}},
  year         = {{2022}},
}

@phdthesis{32856,
  author       = {{Endres-Fröhlich, Angelika Elfriede}},
  title        = {{{Essays on Industrial Organization and Networks: Retail Bundling, Exclusive Dealing, and Network Disruption}}},
  doi          = {{10.17619/UNIPB/1-1581}},
  year         = {{2022}},
}

@article{35647,
  author       = {{Tawiah, Beatrice Baaba}},
  journal      = {{Applied Economics}},
  number       = {{58}},
  pages        = {{6687--6702}},
  title        = {{{Does education have an impact on patience and risk willingness?}}},
  doi          = {{10.1080/00036846.2022.2078780}},
  volume       = {{54}},
  year         = {{2022}},
}

@article{50024,
  author       = {{Feng, Yuanhua and Gries, Thomas and Letmathe, Sebastian and Schulz, Dominik}},
  issn         = {{2073-4859}},
  journal      = {{The R Journal}},
  keywords     = {{Statistics, Probability and Uncertainty, Numerical Analysis, Statistics and Probability}},
  number       = {{1}},
  pages        = {{182--195}},
  publisher    = {{The R Foundation}},
  title        = {{{The smoots Package in R for Semiparametric Modeling of Trend Stationary Time Series}}},
  doi          = {{10.32614/rj-2022-017}},
  volume       = {{14}},
  year         = {{2022}},
}

@misc{39963,
  author       = {{Bas, Sahin}},
  title        = {{{Die Luftfahrt zwischen Liberalisierung und Konsolidierung - eine wettbewerbspolitische Analyse von Low-Cost- und Networkairlines}}},
  year         = {{2022}},
}

@misc{40464,
  author       = {{Erdogan, Yeliz}},
  title        = {{{Unternehmenszusammenschlüsse von Supermärkten - eine wettbewerbspolitische Analyse am Beispiel von Edeka und Kaiser's Tengelmann}}},
  year         = {{2022}},
}

@misc{40468,
  author       = {{Perampalam, Abirame}},
  title        = {{{Zum Potenzial von Kryptowährungen. Eine ökonomische Analyse zu den Chancen und Risiken digitaler Währungen}}},
  year         = {{2022}},
}

@misc{40467,
  author       = {{Nassar, Hamza}},
  title        = {{{Mergers on digital markets - An economic analysis}}},
  year         = {{2022}},
}

@misc{40469,
  author       = {{Sarsar, Abdelmajid}},
  title        = {{{Monopolbildung im Zuge der Globalisierung und Digitalisierung der GAFA-Unternehmen (Google, Amazon, Facebook, Apple) - eine wettbewerbspolitische Analyse}}},
  year         = {{2022}},
}

@misc{40474,
  author       = {{Bas, Mikail}},
  title        = {{{Kartelle und technischen Absprachen zur Forschung und Entwicklung - Eine wettbewerbspolitische Analyse anhand der Automobilindustrie}}},
  year         = {{2022}},
}

@misc{40472,
  author       = {{Vikue, Baribuma Lucy}},
  title        = {{{Blockchain Technology and the Internet of Thing-Risks and Chances for Supply Chains}}},
  year         = {{2022}},
}

@misc{40471,
  author       = {{Taskin, Ibrahim}},
  title        = {{{Die Fusion von Kaiser's Tengelmann und EDEKA - eine wettbewerbspolitische Analyse}}},
  year         = {{2022}},
}

@misc{42525,
  author       = {{Dubbert, Annika}},
  title        = {{{Marktmissbrauch in Online-Märkten und die Herausforderungen für die Wettbewerbsbehörden - eine wettbewerbspolitische Betrachtung}}},
  year         = {{2022}},
}