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Jonas Christoph Meier

Personal Details

First Name:Jonas
Middle Name:Christoph
Last Name:Meier
Suffix:
RePEc Short-ID:pme935
[This author has chosen not to make the email address public]
http://jonasmeier.ch
Terminal Degree: Department Volkswirtschaftlehre; Universität Bern (from RePEc Genealogy)

Affiliation

Schweizerische Nationalbank (SNB)

Bern/Zürich, Switzerland
http://www.snb.ch/
RePEc:edi:snbgvch (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Iv'an Fern'andez-Val & Jonas Meier & Aico van Vuuren & Francis Vella, 2024. "Distribution Regression Difference-In-Differences," Papers 2409.02311, arXiv.org.
  2. Victor Chernozhukov & Iv'an Fern'andez-Val & Jonas Meier & Aico van Vuuren & Francis Vella, 2024. "Conditional Rank-Rank Regression," Papers 2407.06387, arXiv.org.
  3. Martin Huber & Jonas Meier & Hannes Wallimann, 2021. "Business analytics meets artificial intelligence: Assessing the demand effects of discounts on Swiss train tickets," Papers 2105.01426, arXiv.org, revised Jun 2022.
  4. Jonas Meier, 2020. "Multivariate Distribution Regression," Diskussionsschriften dp2023, Universitaet Bern, Departement Volkswirtschaft.
  5. Jonas Meier, 2017. "The distributional effects of marital status and children: Evidence from large administrative panel data," University of Bern Social Sciences Working Papers 28, University of Bern, Department of Social Sciences.

Articles

  1. Huber, Martin & Meier, Jonas & Wallimann, Hannes, 2022. "Business analytics meets artificial intelligence: Assessing the demand effects of discounts on Swiss train tickets," Transportation Research Part B: Methodological, Elsevier, vol. 163(C), pages 22-39.

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. Martin Huber & Jonas Meier & Hannes Wallimann, 2021. "Business analytics meets artificial intelligence: Assessing the demand effects of discounts on Swiss train tickets," Papers 2105.01426, arXiv.org, revised Jun 2022.

    Cited by:

    1. Patrick Rehill, 2024. "How do applied researchers use the Causal Forest? A methodological review of a method," Papers 2404.13356, arXiv.org.
    2. Yoganathan, Vignesh & Osburg, Victoria-Sophie, 2024. "The mind in the machine: Estimating mind perception's effect on user satisfaction with voice-based conversational agents," Journal of Business Research, Elsevier, vol. 175(C).
    3. Yan, Ran & Liu, Yan & Wang, Shuaian, 2024. "A data-driven optimization approach to improving maritime transport efficiency," Transportation Research Part B: Methodological, Elsevier, vol. 180(C).
    4. Hintermann, Beat & Thommen, Christoph, 2022. "Price versus Commitment: Managing the Demand for Off-peak Train Tickets in a Field Experiment," Working papers 2022/05, Faculty of Business and Economics - University of Basel.
    5. Chen, Pengyu & Chu, Zhongzhu & Zhao, Miao, 2024. "The Road to corporate sustainability: The importance of artificial intelligence," Technology in Society, Elsevier, vol. 76(C).
    6. Kevin Blattler & Hannes Wallimann & Widar von Arx, 2024. "Free public transport to the destination: A causal analysis of tourists' travel mode choice," Papers 2401.14945, arXiv.org, revised Feb 2024.
    7. Henrika Langen & Martin Huber, 2022. "How causal machine learning can leverage marketing strategies: Assessing and improving the performance of a coupon campaign," Papers 2204.10820, arXiv.org, revised Jun 2022.
    8. Zabaleta, Mercedes Elena Martínez & Luna, Raúl Enrique Rodríguez, 2023. "Inteligencia empresarial y su rol en la generación de valor en los procesos de negocios," Revista Tendencias, Universidad de Narino, vol. 24(1), pages 226-251, January.
    9. Hannes Wallimann & Kevin Blattler & Widar von Arx, 2021. "Do price reductions attract customers in urban public transport? A synthetic control approach," Papers 2111.14613, arXiv.org, revised Mar 2022.
    10. Xu, Haonan & Liu, Jiaguo & Xu, Xiaofeng & Chen, Jihong & Yue, Xiaohang, 2024. "The impact of AI technology adoption on operational decision-making in competitive heterogeneous ports☆," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 183(C).
    11. Hannes Wallimann, 2024. "Austria's KlimaTicket: Assessing the short-term impact of a cheap nationwide travel pass on demand," Papers 2401.06835, arXiv.org, revised Feb 2024.

  2. Jonas Meier, 2020. "Multivariate Distribution Regression," Diskussionsschriften dp2023, Universitaet Bern, Departement Volkswirtschaft.

    Cited by:

    1. Yunyun Wang & Tatsushi Oka & Dan Zhu, 2022. "Bivariate Distribution Regression with Application to Insurance Data," Papers 2203.12228, arXiv.org, revised Sep 2023.
    2. Yunyun Wang & Tatsushi Oka & Dan Zhu, 2023. "Distributional Vector Autoregression: Eliciting Macro and Financial Dependence," Papers 2303.04994, arXiv.org.

Articles

  1. Huber, Martin & Meier, Jonas & Wallimann, Hannes, 2022. "Business analytics meets artificial intelligence: Assessing the demand effects of discounts on Swiss train tickets," Transportation Research Part B: Methodological, Elsevier, vol. 163(C), pages 22-39.
    See citations under working paper version above.Sorry, no citations of articles recorded.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

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-ECM: Econometrics (3) 2021-04-05 2024-08-12 2024-10-14. Author is listed
  2. NEP-BIG: Big Data (1) 2021-05-10. Author is listed
  3. NEP-CMP: Computational Economics (1) 2021-05-10. Author is listed
  4. NEP-IAS: Insurance Economics (1) 2021-04-05. Author is listed
  5. NEP-ORE: Operations Research (1) 2021-04-05. Author is listed
  6. NEP-TRE: Transport Economics (1) 2021-05-10. Author is listed

Corrections

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