pipeline
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FSA — Title IV aid at institution level (~5,500 institutions, 1999-2021). Pell Grants, Direct/PLUS loans, campus-based aid, financial responsibility scores, 90/10 metrics. Use for aid distribution, loan volume, or for-profit analysis. By unitid.
Claude Code
$ npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill education-data-source-fsa --agent claude-code
Codex
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill education-data-source-fsa -a codex -y
Cursor
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill education-data-source-fsa -a cursor -y
Gemini CLI
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill education-data-source-fsa -a gemini-cli -y
GitHub Copilot
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill education-data-source-fsa -a github-copilot -y
OpenCode
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill education-data-source-fsa -a opencode -y
Windsurf
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill education-data-source-fsa -a windsurf -y
name: education-data-source-fsa description: >- FSA — Title IV aid at institution level (~5,500 institutions, 1999-2021). Pell Grants, Direct/PLUS loans, campus-based aid, financial responsibility scores, 90/10 metrics. Use for aid distribution, loan volume, or for-profit analysis. By unitid. metadata: audience: any-agent domain: data-source skill-authored: "2026-02-09" skill-last-updated: "2026-02-09"
Federal Student Aid (FSA) — institutional-level Title IV aid data for ~5,500 postsecondary institutions, covering Pell Grants, Direct and PLUS loans, campus-based aid (FWS, FSEOG, Perkins), financial responsibility composite scores, and 90/10 revenue metrics (1999-2021, varies by dataset). Use when analyzing Pell Grant distribution by institution type, student loan volume, campus-based aid allocation, or for-profit financial health and 90/10 compliance. Identified by IPEDS unitid.
Reference guide for FSA data available through the Urban Institute Education Data Portal. FSA data provides institutional-level information on Title IV federal student aid programs administered by the U.S. Department of Education.
> **CRITICAL: Value Encoding** > > The Education Data Portal converts categorical variables to **integers**. This differs from original FSA documentation which may use string codes. All categorical columns in the Portal parquet files are integer-typed. > > | Variable | Example Value | Meaning | > |----------|---------------|---------| > | `grant_type` | `1` | Federal Pell Grant | > | `loan_type` | `1` | Subsidized Direct Loan - Undergraduate | > | `award_type` | `1` | Federal Supplemental Educational Opportunity Grants | > | `fips` | `6` | California | > | `allocation_flag` | `1` | Yes | > > **Missing data codes** (`-1`, `-2`, `-3`) apply to `numeric` format variables, not categorical codes. > > See `./references/variable-definitions.md` for complete encoding tables.
When interpreting FSA data values and resolving discrepancies between this skill documentation and observed data, apply this priority:
| Priority | Source | Rationale | |----------|--------|-----------| | 1 (highest) | **Actual data file** (parquet) | What you observe IS the truth | | 2 | **Live codebook/metadata** (.xls in mirror) | Authoritative documentation; may lag behind data | | 3 (lowest) | **This skill documentation** (variable-definitions.md, etc.) | Summarized; convenient but may drift |
**Codebook Access:** Use `get_codebook_url()` from `fetch-patterns.md` with paths from `datasets-reference.md`:
# Example: Get codebook for FSA grants
url = get_codebook_url("fsa/codebook_colleges_fsa_grants")| Dataset | Codebook Path | |---------|---------------| | Grants | `fsa/codebook_colleges_fsa_grants` | | Loans | `fsa/codebook_colleges_fsa_loans` | | Campus-Based Volume | `fsa/codebook_colleges_fsa_campus_based_volume` | | Financial Responsibility | `fsa/codebook_colleges_fsa_financial_responsibility` | | 90/10 Revenue | `fsa/codebook_colleges_fsa_90-10_revenue_percentages` |
> **FSA naming note:** The Financial Responsibility dataset uses `composite_scores` in its data path but `financial_responsibility` in its codebook path. The 90/10 Revenue dataset uses underscores (`90_10`) in the data path but hyphens (`90-10`) in the codebook path. Always use the exact paths shown above.
Federal Student Aid (FSA) is the office within the U.S. Department of Education that administers Title IV aid programs:
| File | Purpose | When to Read | |------|---------|--------------| | `title-iv-programs.md` | Pell Grants, Direct Loans, PLUS, campus-based aid | Understanding aid program types | | `financial-responsibility.md` | Composite scores, institutional oversight | Analyzing institutional financial health | | `90-10-rule.md` | For-profit revenue requirements | Working with proprietary institutions | | `variable-definitions.md` | Key variables, aid types, amounts | Building queries, interpreting results | | `data-quality.md` | Known issues, coverage, timing | Understanding data limitations |
FSA research topic?
├─ Grant programs
│ ├─ Federal Pell Grants → ./references/title-iv-programs.md
│ ├─ FSEOG (campus-based) → ./references/title-iv-programs.md
│ └─ Grant amounts/recipients → ./references/variable-definitions.md
├─ Loan programs
│ ├─ Direct Subsidized/Unsubsidized → ./references/title-iv-programs.md
│ ├─ Parent PLUS loans → ./references/title-iv-programs.md
│ ├─ Graduate PLUS loans → ./references/title-iv-programs.md
│ ├─ Perkins Loans (legacy) → ./references/title-iv-programs.md
│ └─ Loan volumes/disbursements → ./references/variable-definitions.md
├─ Campus-based programs
│ ├─ Federal Work-Study → ./references/title-iv-programs.md
│ ├─ FSEOG → ./references/title-iv-programs.md
│ └─ Program allocations → ./references/variable-definitions.md
├─ Institutional oversight
│ ├─ Financial responsibility scores → ./references/financial-responsibility.md
│ ├─ 90/10 rule compliance → ./references/90-10-rule.md
│ └─ Eligibility/participation → ./references/data-quality.md
└─ Data quality concerns
└─ Coverage, timing, limitations →## 🔥 力荐 · StatsPAI — Stata 与 R 的 Python 平替,为 AI Agent 而生 🔁 Stata / R 平替:reghdfe、csdid、rdrobust、synth、fixest、did 等常用命令在 Python 中一站式替代,一个 import statspai as sp 搞定 DID / RD / IV / SCM / DML / matching 🤖 面向 Agent 设计:结构化结果对象 + 内置 MCP Server,Claude / Codex
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