jfi-replication-and-data-policy

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Use when preparing the data-sharing materials a Journal of Financial Intermediation (JFI) submission expects under Elsevier norms — a published Data Statement, deposited and linked datasets, [dataset]-tagged references, and a credible access route for restricted supervisory or credit-register data — without inventing a mandatory code archive the journal does not require. It prepares the package; it does not deposit for you.

brycewang-stanford By brycewang-stanford schedule Updated 6/10/2026

name: jfi-replication-and-data-policy description: Use when preparing the research-data materials a Journal of Financial Intermediation (JFI) submission expects under Elsevier Option C — deposited, cited, and linked research data where possible; an explanation where sharing is impossible; a Data Statement; [dataset]-tagged references; and a credible access route for restricted supervisory or credit-register data. It prepares the package; it does not deposit for you.

Replication & Data Policy (jfi-replication-and-data-policy)

When to trigger

  • Preparing data/code materials before submitting or at acceptance
  • Writing the Data Statement or handling restricted/proprietary banking data

What JFI actually requires (verified 2026-06-20; re-confirm on the official page)

JFI follows Elsevier Option C for research data. Research data here includes software, code, models, algorithms, protocols, and methods — not just datasets. Authors are required to:

  • Deposit research data in a relevant repository and cite/link it, or explain why data cannot be shared.
  • Provide a Data Statement on data availability when relevant; it is supported in the submission flow and published with the article.
  • Cite datasets in the text and reference list using the [dataset] tag.

Crucially, JFI has no journal-specific mandatory replication-code archive — there is no equivalent of the Journal of Applied Econometrics Data Archive or the American Economic Review replication mandate. Do not invent a JFI-only archive requirement, but do treat deposit/cite/link-or-explain as the live Elsevier data-policy obligation.

How to prepare

  • Empirical papers: write a clear Data Statement (sources, access conditions, what is shared); deposit shareable data and code in a general-purpose repository (Mendeley Data, Zenodo, ICPSR/openICPSR) and link it. For restricted bank/supervisory data (Call Reports extracts under license, FR Y-14, DealScan), state the access route and share the code plus any constructed, non-proprietary derivatives.
  • Theory papers: lighter — share the code that generates numerical examples/figures so they are reproducible (fixed seeds/parameters); a Data Statement can note that no empirical data underlie the results.

Restricted banking data: the disclosure ladder

Data tier Typical examples What you can realistically share
Public Call Reports, HMDA, FDIC Summary of Deposits Full data plus code — deposit everything
Commercial license DealScan, Orbis/Bankscope, branch-rate databases Code, construction steps, and access instructions; never raw data
Supervisory / central-bank Credit registers, FR Y-14, examination data Code, variable definitions, the application route, and cleared aggregates

For the supervisory tier, the Data Statement should name the granting institution and the access route so a referee believes replication is possible in principle — credibility matters disproportionately at a venue where the best identification lives inside restricted registers. Repository specifics and any evolving Elsevier requirements: confirm against the journal's current author guidelines.

Worked Data Statement skeleton (credit-register paper, illustrative)

Data statement: Loan-level records are from the [country] credit register,
accessed on-site under agreement [ref]; they cannot leave the central bank.
We deposit: (i) all construction and estimation code; (ii) variable
definitions and sample filters; (iii) bank-level aggregates cleared for
release; (iv) instructions for applying for register access. Public inputs
(Call Reports, HMDA) are included in the repository. Datasets are cited
with [dataset] tags in the reference list.

Friction points editors and referees raise

  • "Data available on request" with no named route reads as evasion — name the institution and process.
  • Code that hard-codes paths inside the central-bank enclave — ship a config file and a README mapping enclave paths to placeholders.
  • Cleared aggregates that cannot reproduce a single exhibit — clear at least the headline table's inputs.
  • A theory paper claiming "no data" while its calibrated figures depend on undisclosed parameter files — the numerical-example code and parameter values are the reproducibility object at JFI.

Anti-patterns

  • Treating Option C as optional or replacing it with "data available on request"
  • Asserting a mandatory JFI-specific archive that the Guide does not name
  • A Data Statement that hides restricted-data access conditions
  • Citing datasets in prose without the [dataset] reference tag
  • Depositing data but never linking it in Editorial Manager

Output format

【Data Statement】drafted, access conditions stated? [Y/N]
【Deposit / explain】repository chosen and linked in EM, or restriction explained? [Y/N]
【[dataset] tags】data cited in references? [Y/N]
【Restricted data】access route + shareable code noted? [Y/N]
【Note】Option C applies; no JFI-specific archive is named
【Next skill】jfi-review-process
Install via CLI
npx skills add https://github.com/brycewang-stanford/Awesome-Journal-Skills --skill jfi-replication-and-data-policy
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