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Search, summarize, and synthesize economics literature
npx skills add https://github.com/meleantonio/awesome-econ-ai-stuff --skill lit-review-assistantCopy and paste this command into Claude Code to install the skill
Search, summarize, and synthesize economics literature
npx skills add https://github.com/meleantonio/awesome-econ-ai-stuff --skill lit-review-assistantCopy and paste this command into Claude Code to install the skill
Simplify and clean up code after changes are complete. Reduces complexity, improves readability, and ensures consistency.
Commit changes, push to remote, and create a pull request. Use for completing features or fixes ready for review.
Implements the Spec-Driven Development lifecycle (Intent, Requirements, Design, Tasks, Build) for structured feature development. Use when the user wants to scaffold a new feature spec, generate EARS requirements, create a technical design, break work into tasks, or check spec status. Trigger on keywords: sdd, spec-driven, ears requirements, feature spec.
Find and fix technical debt including duplicated code, dead code, outdated patterns, and code smells. Run at the end of sessions to clean up.
Run IV, DiD, and RDD analyses in R with proper diagnostics
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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"] |
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.
Ask the user:
Help define search terms:
Create a structured summary for each paper:
# 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]
## [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)
"exact phrase" - Exact matchingauthor:surname - Papers by specific authorsource:journal - Papers in specific journal-exclude - Exclude terms[year]..[year] - Date range