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Car Topic Selection

ASecurity

Use when choosing or sharpening a research question for a Contemporary Accounting Research (CAR) manuscript — testing fit with CAR's deliberately method-agnostic, all-topic-areas accounting scope and picking the research tradition (archival, experimental, analytical, field, qualitative) that the question demands.

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Added 6/5/2026
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A100/100

Scanned 6/5/2026

Install to Claude Code

$npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill car-topic-selection --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: car-topic-selection
description: Use when choosing or sharpening a research question for a Contemporary Accounting Research (CAR) manuscript — testing fit with CAR's deliberately method-agnostic, all-topic-areas accounting scope and picking the research tradition (archival, experimental, analytical, field, qualitative) that the question demands.
---

# 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.

## 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
```

Attribution

brycewang-stanfordbrycewang-stanford
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3 founder slots · $299/mo · GSC-verified traffic · sponsors can never buy grades.

See placements

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