Topic Selection & CAR Fit (car-topic-selection)

When to trigger

• You have a phenomenon or dataset but no sharp accounting research question
• You are unsure whether the topic fits CAR versus a narrower or non-accounting outlet
• You cannot yet say which research tradition (archival, experimental, analytical, field, qualitative) the question requires
• A coauthor asks "is this a CAR paper or a finance/economics paper?"

What CAR is looking for

CAR welcomes "interesting and intellectually rigorous work in all topic areas of accounting, using any appropriate method, and based in any discipline or research tradition." This is a genuine big-tent mandate: financial reporting, auditing and assurance, managerial/cost accounting, taxation, disclosure, accounting information in capital markets, governance, and accounting's role in organizations and society are all in scope. The defining test is therefore not method but whether the question advances understanding of accounting — its production, properties, use, or consequences. A question that merely uses accounting data to answer a pure-finance asset-pricing or pure-economics question is a weaker fit than one whose answer changes how we understand accounting itself.

Pick the research tradition the question demands

CAR's broad scope means the same topic can be pursued several ways; choose the tradition that can actually deliver the inference:

If the question is about…	Lean toward…
Capital-market consequences of reporting/disclosure	Archival / capital-markets empirical
How preparers, auditors, or investors process information	Experiment (causal, mechanism)
Optimal contracting, disclosure incentives, equilibria	Analytical / modeling
Practice inside firms, audit teams, or standard-setting	Field study / qualitative
A new construct's measurement or external validity	Survey, or multi-method triangulation

Sharpen the question

• State the question as a single sentence: what accounting phenomenon, for whom, with what consequence?
• Name the tension or puzzle — competing predictions are more "interesting" to CAR than a one-directional gap.
• Check feasibility against CAR's transparency regime early: can you share the data/code, or get ethics approval for human participants? A question requiring non-shareable proprietary data needs a verification plan (see car-methods).

Checklist

• The answer changes our understanding of accounting, not just of markets generally
• The research tradition matches what the question can support
• A tension/puzzle is articulated, not just an unstudied cell
• Data/instrument access and (if human subjects) ethics approval look feasible
• The contribution is plausibly large enough for a top accounting journal

Anti-patterns

• Accounting-data-as-convenience: a finance question dressed in Compustat variables.
• Method-first: forcing an experiment or model onto a question better answered archivally (or vice versa).
• Gap-spotting: "no one has studied X" with no tension or consequence.

Fit pass for Contemporary Accounting Research

Use this as a second-pass capability check. First lock the accounting construct, setting, identification or theory, and disclosure/market/organizational implication; then test whether the manuscript addresses accounting reviewers who expect accounting-specific constructs, credible design, and contribution to reporting, auditing, tax, or governance debates.

• Primary move: Score fit, novelty, evidence readiness, and audience ownership; reject prestige-only targeting when a sibling venue owns the contribution.
• Decision ledger: return claim / evidence / blocker / next edit rows so the next pass can patch the manuscript directly.
• Neighbor test: compare against The Accounting Review for US flagship breadth, JAR for Chicago-style accounting research, JAE for economics/accounting interface; if the neighboring outlet has the stronger audience claim, recommend re-routing before polishing.
• Verification floor: before submission-ready advice, re-open resources/official-source-map.md for volatile rules and name the one unresolved fact that could change the recommendation.

Output format

【Question】one sentence: phenomenon / who / consequence ...
【CAR fit】advances accounting understanding? broad-tent area ...
【Tradition】archival / experimental / analytical / field / qualitative — why ...
【Tension】competing predictions or puzzle ...
【Feasibility】data/instrument; ethics if human subjects ...
【Next step】car-theory-development