home / skills / meleantonio / awesome-econ-ai-stuff / lit-review-assistant

lit-review-assistant skill

/_skills/literature/lit-review-assistant

This skill helps economists conduct literature reviews by structuring searches, summarizing papers, and synthesizing findings to identify gaps.

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---
name: lit-review-assistant
description: Search, summarize, and synthesize economics literature
workflow_stage: literature
compatibility:
  - claude-code
  - cursor
  - codex
  - gemini-cli
author: Awesome Econ AI Community
version: 1.0.0
tags:
  - literature-review
  - papers
  - citations
  - synthesis
---

# Literature Review Assistant

## Purpose

This skill helps economists conduct literature reviews by structuring searches, summarizing papers, and synthesizing findings. It provides templates for organizing literature and identifying research gaps.

## When to Use

- Starting a literature review for a new project
- Finding related work for a paper's introduction
- Synthesizing existing evidence on a topic
- Identifying gaps in the literature

## Instructions

### Step 1: Define the Research Domain

Ask the user:
1. What is your specific research question?
2. What's the scope? (Narrow field survey vs. cross-disciplinary review)
3. What databases do you have access to? (JSTOR, EconLit, Google Scholar, NBER)
4. What time period is relevant?
5. Are there seminal papers to start from?

### Step 2: Structure the Search

Help define search terms:
1. **Primary terms**: Core concepts (e.g., "minimum wage", "employment")
2. **Methodological filters**: (RCT, IV, difference-in-differences)
3. **Outcome terms**: What effects are measured
4. **Geographic/temporal scope**: If relevant

### Step 3: Organize and Synthesize

Create a structured summary for each paper:
- Citation
- Research question
- Data and methods
- Key findings
- Limitations
- How it relates to user's project

### Step 4: Identify Patterns and Gaps

- What do papers agree on?
- Where are disagreements?
- What questions remain unanswered?
- What methods haven't been applied?

## Example Output: Literature Summary Template

```markdown
# Literature Review: [TOPIC]

## Search Strategy

**Databases:** EconLit, NBER, Google Scholar, SSRN
**Date range:** 2010-2024
**Search terms:** 
- ("minimum wage" OR "wage floor") AND (employment OR jobs)
- ("minimum wage") AND ("difference-in-differences" OR "DiD")

**Inclusion criteria:**
- Peer-reviewed or NBER working papers
- Focused on [specific outcome]
- Uses causal identification strategy

---

## Seminal Papers

### Card and Krueger (1994)
**Citation:** Card, D., & Krueger, A. B. (1994). Minimum Wages and Employment: A Case Study of the Fast-Food Industry in New Jersey and Pennsylvania. *American Economic Review*, 84(4), 772-793.

**Research Question:** What is the effect of minimum wage increases on employment?

**Data & Method:** 
- DiD comparing NJ (treatment) to PA (control)
- Survey of fast-food restaurants before/after NJ minimum wage increase

**Key Findings:**
- No negative employment effect found
- Employment slightly increased in NJ relative to PA

**Contribution:** Challenged conventional view; pioneered quasi-experimental methods in labor economics

**Limitations:**
- Single state, short time horizon
- Potential survey response bias

---

### Cengiz et al. (2019)
**Citation:** Cengiz, D., Dube, A., Lindner, A., & Zipperer, B. (2019). The Effect of Minimum Wages on Low-Wage Jobs. *Quarterly Journal of Economics*, 134(3), 1405-1454.

**Research Question:** Do minimum wage increases destroy jobs or compress the wage distribution?

**Data & Method:**
- Bunching estimator using 138 minimum wage events
- Examine employment distribution around minimum wage

**Key Findings:**
- Jobs below the new minimum wage disappear
- But replaced by jobs just above the minimum
- No significant overall employment loss

**Contribution:** Novel bunching methodology; large-scale evidence

---

## Synthesis: What We Know

| Finding | Evidence Quality | Consensus Level |
|---------|-----------------|-----------------|
| Small minimum wage increases have minimal employment effects | Strong (multiple RCTs/quasi-experiments) | High |
| Effects may be heterogeneous by region | Medium | Growing |
| Large increases (e.g., $15) less studied | Limited | Low |

## Research Gaps

1. **Mechanism:** How do firms absorb higher labor costs? (Prices, profits, productivity?)
2. **Long-run effects:** Most studies focus on 1-2 years
3. **Geographic heterogeneity:** Do effects differ in low vs. high cost-of-living areas?
4. **Spillovers:** Effects on workers earning above minimum wage

## Connection to Your Project

Your study of [SPECIFIC QUESTION] can contribute by:
- [How your work fills a gap]
- [What new data/method you bring]
```

## Paper Summary Template

```markdown
## [Author(s)] ([Year])

**Title:** [Full title]

**Published in:** [Journal/Working Paper Series]

**Research Question:** [One sentence]

**Data:**
- Source: [Dataset name]
- Period: [Years]
- Sample: [N observations, unit of analysis]

**Identification Strategy:** [Method in one sentence]

**Main Findings:**
1. [Key result 1 with magnitude]
2. [Key result 2]
3. [Robustness/heterogeneity]

**Limitations:**
- [Main concern 1]
- [Main concern 2]

**Relevance to your project:** [One sentence on how it connects]

**Key quote:** "[Most important direct quote]" (p. XX)
```

## Search Strategy Tips

### Google Scholar Operators
- `"exact phrase"` - Exact matching
- `author:surname` - Papers by specific author
- `source:journal` - Papers in specific journal
- `-exclude` - Exclude terms
- `[year]..[year]` - Date range

### Finding Seminal Papers
1. Check citations in recent survey papers
2. Look for papers with 1000+ citations
3. Check JEL codes in EconLit
4. Review "related articles" in Google Scholar

### Building Citation Networks
1. Start with 2-3 seminal papers
2. Check what recent papers cite them (forward citations)
3. Check their references (backward citations)
4. Identify clusters of related work

## Best Practices

1. **Use reference managers** (Zotero, Mendeley, BibDesk)
2. **Create annotated bibliographies** as you read
3. **Track search queries** for reproducibility
4. **Update regularly** before submission
5. **Balance breadth and depth** - cover field but focus on closest work

## Common Pitfalls

- ❌ Only citing papers that support your argument
- ❌ Not engaging with contradictory findings
- ❌ Confusing correlation with causation when summarizing
- ❌ Citing papers you haven't actually read
- ❌ Missing important recent papers

## References

- [EconLit](https://www.aeaweb.org/econlit/) - Authoritative economics database
- [NBER Working Papers](https://www.nber.org/papers) - Latest research
- [IDEAS/RePEc](https://ideas.repec.org/) - Free economics papers
- [Connected Papers](https://www.connectedpapers.com/) - Visual citation networks

## Changelog

### v1.0.0
- Initial release with templates and search strategies

Overview

This skill helps economists search, summarize, and synthesize economics literature efficiently. It provides guided search strategies, standardized paper-summary templates, and synthesis tools to identify consensus and research gaps. Use it to structure literature reviews, build citation networks, and prepare annotated bibliographies for papers or proposals.

How this skill works

I guide you through defining a focused research domain, creating targeted search terms, and selecting databases suited to your access. For each paper I help you produce a concise, structured summary (citation, question, data, methods, findings, limitations, relevance). I then aggregate summaries to highlight patterns, disagreements, and open questions and produce actionable synthesis notes you can plug into an introduction or literature review section.

When to use it

  • Starting a literature review for a new project or thesis
  • Preparing the introduction or related-work section of a paper
  • Synthesizing evidence across studies for a policy brief or grant proposal
  • Identifying methodological gaps or underexplored outcomes
  • Curating annotated bibliographies or building citation networks

Best practices

  • Define a clear research question and scope before searching
  • Combine primary terms with methodological and outcome filters
  • Keep structured summaries for every paper (citation, methods, findings, limitations)
  • Record search queries and inclusion criteria for reproducibility
  • Use a reference manager and update your review regularly

Example use cases

  • Generate search terms and a database plan for a study on minimum wage effects
  • Produce 5–10 structured paper summaries and a one-page synthesis for a conference submission
  • Map forward and backward citations from seminal papers to build a citation network
  • Identify 3–4 concrete research gaps and methodological approaches for a grant application
  • Convert summaries into an annotated bibliography compatible with Zotero/Mendeley

FAQ

Can you work with papers behind paywalls?

Yes. I can craft search strategies and extract metadata; provide full summaries only if you paste the paper text or accessible excerpts.

How do you ensure reproducibility of the search?

I record databases, date ranges, explicit search strings, and inclusion criteria so you or reviewers can rerun the search.

Can you synthesize heterogeneous evidence (different methods/outcomes)?

Yes. I group studies by outcome, method, geography, and time horizon, then summarize consensus levels and heterogeneity drivers.