Scholar4AI Updated 2026-11-03 14:43 UTC+09:00

How to Deal With Reverse Causality Using Panel Data? Recommendations for Researchers Based on a Simulation Study: papers linking to it

OSF · Text · 2018 · osf.io/8xb4z/

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to How to Deal With Reverse Causality Using Panel Data? Recommendations for Researchers Based on a Simulation Study (https://osf.io/8xb4z/), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.

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Key findings#

  • 6 papers in the tracked journals link to the OSF dataset How to Deal With Reverse Causality Using Panel Data? Recommendations for Researchers Based on a Simulation Study in their Crossref records, the first in 2020; most of them (3) in 2022.
  • By category: Economics (2), Management (2) and Finance (1); the journals with the most are Journal of International Financial Markets Institutions and Money (1), Eurasian economic review : (1) and Review of Managerial Science (1).

By year#

2020: 1 paper2021: 1 paper2022: 3 papers2024: 1 paper
20202024
Papers linking to How to Deal With Reverse Causality Using Panel Data? Recommendations for Researchers Based on a Simulation Study by publication year
YearPapers
20201
20211
20223
20241

Journals#

Journals whose papers link to How to Deal With Reverse Causality Using Panel Data? Recommendations for Researchers Based on a Simulation Study most
JournalPapers
Journal of International Financial Markets Institutions and Money1
Eurasian economic review :1
Review of Managerial Science1
Scientometrics1
Journal of Behavioral and Experimental Economics1

How this is measured#

Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month.

Cite this page

Scholar4AI. (2026). How to Deal With Reverse Causality Using Panel Data? Recommendations for Researchers Based on a Simulation Study: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/osf-8xb4z

@misc{scholar4ai-code-osf-8xb4z,
  author = {{Scholar4AI}},
  title = {How to Deal With Reverse Causality Using Panel Data? Recommendations for Researchers Based on a Simulation Study: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/osf-8xb4z}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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