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Stefan Klößner

Biographic Data

ID4977066
NAMEStefan Klößner
GIVEN NAMESStefan
FAMILY NAMEKlößner
SIGNATUREKLÖßNER S
AFFILIATIONSSaarland University
ORCID0000-0002-6558-7370
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS14
WORKS AS AUTHOR6
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2012
LATEST PUBLICATION YEAR2023
H-INDEX1
  • Misinformation due to asymmetric information sharing

    Open Access•Berno Buechel, Stefan Klößner et al.•ARTICLE•Journal of Economic Dynamics and…•2023•References: 19

    On social media platforms, true and false information compete. Importantly, some messages travel much further than others, even if they concern the same topic. This fact is not reflected in models of social learning (or opinion formation) in networks. Our model fills this gap by allowing different types of information to have different decay factors and to be shared with different networks of people, incorporating asymmetries in sharing behaviors…

  • Standard Synthetic Control Methods

    Ashok Kaul, Stefan Klößner et al.•ARTICLE•Journal of Business and Economic…•2022

    It is becoming increasingly popular in applications of standard synthetic control methods to include the entire pretreatment path of the outcome variable as economic predictors. We demonstrate both theoretically and empirically that using all outcome lags as separate predictors renders all other covariates irrelevant in such settings. This finding holds irrespective of how important these covariates are for accurately predicting posttreatment val…

  • Promoting healthy behavior through repeated deposit contracts

    Open Access•Ido Erev, Maximilian Hiller et al.•ARTICLE•Journal of Economic Psychology•2022•References: 39

  • The Impact of Scaling Methods on the Properties and Interpretation of Parameter Estimates in Structural Equation Models with Latent Variables

    Eric Klopp, Stefan Klößner•ARTICLE•Structural Equation Modeling: A…•2021

    Latent variables in structural equation models do not have an observable scale. Hence, researchers resort to scaling methods, such as fixed marker, effects coding, or fixed factor, to assign scales to the latent variables. The use of such procedures results in numerically different estimates, in spite of a single underlying population model. In this paper, we provide a framework which not only allows for a translation between estimates obtained u…

  • Opinion dynamics and wisdom under conformity

    Open Access•Berno Buechel, Tim Hellmann et al.•ARTICLE•Journal of Economic Dynamics and…•2014•Cited by: 14•References: 19

  • Opinion Dynamics Under Conformity

    Open Access•Berno Buechel, Tim Hellmann et al.•ARTICLE•SSRN Electronic Journal•2012

  • Opinion dynamics and wisdom under conformity

    Open Access•Berno Buechel, Tim Hellmann et al.•ARTICLE•Journal of Economic Dynamics and…•2014•Cited by: 14•References: 19

  • Opinion Dynamics Under Conformity

    Open Access•Berno Buechel, Tim Hellmann et al.•ARTICLE•SSRN Electronic Journal•2012

  • Opinion dynamics and wisdom under conformity

    Open Access•Berno Buechel, Tim Hellmann et al.•ARTICLE•Journal of Economic Dynamics and…•2014•Cited by: 14•References: 19

  • The Impact of Scaling Methods on the Properties and Interpretation of Parameter Estimates in Structural Equation Models with Latent Variables

    Eric Klopp, Stefan Klößner•ARTICLE•Structural Equation Modeling: A…•2021

    Latent variables in structural equation models do not have an observable scale. Hence, researchers resort to scaling methods, such as fixed marker, effects coding, or fixed factor, to assign scales to the latent variables. The use of such procedures results in numerically different estimates, in spite of a single underlying population model. In this paper, we provide a framework which not only allows for a translation between estimates obtained u…

  • Standard Synthetic Control Methods

    Ashok Kaul, Stefan Klößner et al.•ARTICLE•Journal of Business and Economic…•2022

    It is becoming increasingly popular in applications of standard synthetic control methods to include the entire pretreatment path of the outcome variable as economic predictors. We demonstrate both theoretically and empirically that using all outcome lags as separate predictors renders all other covariates irrelevant in such settings. This finding holds irrespective of how important these covariates are for accurately predicting posttreatment val…

  • Promoting healthy behavior through repeated deposit contracts

    Open Access•Ido Erev, Maximilian Hiller et al.•ARTICLE•Journal of Economic Psychology•2022•References: 39

  • Misinformation due to asymmetric information sharing

    Open Access•Berno Buechel, Stefan Klößner et al.•ARTICLE•Journal of Economic Dynamics and…•2023•References: 19

    On social media platforms, true and false information compete. Importantly, some messages travel much further than others, even if they concern the same topic. This fact is not reflected in models of social learning (or opinion formation) in networks. Our model fills this gap by allowing different types of information to have different decay factors and to be shared with different networks of people, incorporating asymmetries in sharing behaviors…

Economics (4 works) · Mathematics (4 works) · Microeconomics (4 works) · Psychology (4 works) · Complex Network Analysis Techniques (3 works) · Computer Science (3 works) · Opinion Dynamics and Social Influence (3 works) · Business (2 works) · Conformity (2 works) · Econometrics (2 works)

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