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Jan Schulz

Personal Details

First Name:Jan
Middle Name:
Last Name:Schulz
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RePEc Short-ID:psc914
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https://www.uni-bamberg.de/vwl-iwf/lehrstuhlteam/wissenschaftliche-mitarbeiter/jan-schulz/

Affiliation

Volkswirtschaftslehre
Otto-Friedrich Universität Bamberg

Bamberg, Germany
http://www.uni-bamberg.de/vwl/
RePEc:edi:vwbamde (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Jan Schulz & Daniel M. Mayerhoffer & Anna Gebhard, 2022. "A Network-Based Explanation of Inequality Perceptions," Papers 2203.14254, arXiv.org, revised Apr 2022.
  2. Schulz, Jan & Mayerhoffer, Daniel M., 2021. "A network approach to consumption," BERG Working Paper Series 173, Bamberg University, Bamberg Economic Research Group.
  3. Schulz, Jan & Milaković, Mishael, 2020. "How wealthy are the rich?," BERG Working Paper Series 166, Bamberg University, Bamberg Economic Research Group.

Articles

  1. Jan Schulz & Daniel M. Mayerhoffer, 2021. "Equal chances, unequal outcomes? Network-based evolutionary learning and the industrial dynamics of superstar firms," Journal of Business Economics, Springer, vol. 91(9), pages 1357-1385, November.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Jan Schulz & Daniel M. Mayerhoffer & Anna Gebhard, 2022. "A Network-Based Explanation of Inequality Perceptions," Papers 2203.14254, arXiv.org, revised Apr 2022.

    Cited by:

    1. Schulz, Jan & Mayerhoffer, Daniel M., 2021. "A network approach to consumption," BERG Working Paper Series 173, Bamberg University, Bamberg Economic Research Group.
    2. Mayerhoffer, Daniel & Schulz-Gebhard, Jan, 2023. "Social segregation, misperceptions, and emergent cyclical choice patterns," BERG Working Paper Series 186, Bamberg University, Bamberg Economic Research Group.

  2. Schulz, Jan & Milaković, Mishael, 2020. "How wealthy are the rich?," BERG Working Paper Series 166, Bamberg University, Bamberg Economic Research Group.

    Cited by:

    1. Mundt, Philipp & Savin, Ivan, 2022. "Drivers of productivity change in global value chains: Reallocation vs. innovation," BERG Working Paper Series 179, Bamberg University, Bamberg Economic Research Group.
    2. Sahm, Marco, 2022. "Optimal accuracy of unbiased Tullock contests with two heterogeneous players," BERG Working Paper Series 175, Bamberg University, Bamberg Economic Research Group.
    3. Daske, Thomas & March, Christoph, 2022. "Efficient incentives with social preferences," BERG Working Paper Series 180, Bamberg University, Bamberg Economic Research Group.
    4. Mundt, Philipp & Cantner, Uwe & Inoue, Hiroyasu & Savin, Ivan & Vannuccini, Simone, 2021. "Market selection in global value chains," BERG Working Paper Series 170, Bamberg University, Bamberg Economic Research Group.
    5. Schulz, Jan & Mayerhoffer, Daniel M., 2021. "A network approach to consumption," BERG Working Paper Series 173, Bamberg University, Bamberg Economic Research Group.
    6. Schmitt, Sefanie Y. & Bruckner, Dominik, 2022. "Unaware consumers and disclosure of deficiencies," BERG Working Paper Series 178, Bamberg University, Bamberg Economic Research Group.

Articles

  1. Jan Schulz & Daniel M. Mayerhoffer, 2021. "Equal chances, unequal outcomes? Network-based evolutionary learning and the industrial dynamics of superstar firms," Journal of Business Economics, Springer, vol. 91(9), pages 1357-1385, November.

    Cited by:

    1. Jacek Strojny & Anna Krakowiak-Bal & Jarosław Knaga & Piotr Kacorzyk, 2023. "Energy Security: A Conceptual Overview," Energies, MDPI, vol. 16(13), pages 1-35, June.
    2. Kai Fischbach & Johannes Marx & Tim Weitzel, 2021. "Agent-based modeling in social sciences," Journal of Business Economics, Springer, vol. 91(9), pages 1263-1270, November.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 4 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-HME: Heterodox Microeconomics (3) 2021-10-04 2022-05-02 2022-05-02. Author is listed
  2. NEP-NET: Network Economics (3) 2021-10-04 2022-05-02 2022-05-02. Author is listed
  3. NEP-CMP: Computational Economics (1) 2021-10-04. Author is listed
  4. NEP-CWA: Central and Western Asia (1) 2021-03-08. Author is listed
  5. NEP-ECM: Econometrics (1) 2021-03-08. Author is listed

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