--- name: ssrn-econpapers-3dd36ae01579 description: "Search social science research papers across SSRN, RePEc/IDEAS, CrossRef, and Semantic Scholar. Use when: (1) finding working papers in economics, finance, law, or political science, (2) searching RePEc for economics papers, (3) querying CrossRef for social science journal articles, (4) retrieving citation metadata for social science research. NOT for: natural sciences (use arxiv-search or pubmed-search), computer science preprints (use arxiv-search), general academic search (use semantic-scholar)." metadata: { "openclaw": { "emoji": "\U0001F4CA", "requires": { "bins": ["curl"] } } } --- # Social Science Paper Search Search working papers and published articles across SSRN, RePEc/IDEAS, CrossRef, and Semantic Scholar. Covers economics, finance, law, management, political science, and related social sciences. ## CrossRef API (Structured Metadata) CrossRef provides the most reliable structured search for published social science: ```bash # Search social science articles curl -s "https://api.crossref.org/works?query=behavioral+economics+nudge&filter=subject:social-science&rows=10&sort=relevance" \ | python3 -c " import sys, json data = json.load(sys.stdin) for item in data.get('message', {}).get('items', []): title = item.get('title', ['N/A'])[0] doi = item.get('DOI', 'N/A') year = item.get('published-print', item.get('published-online', {})) yr = year.get('date-parts', [[None]])[0][0] if year else 'N/A' authors = '; '.join( f\"{a.get('family','')}, {a.get('given','')}\" for a in item.get('author', [])[:3] ) print(f'[{yr}] {title}') print(f' DOI: {doi}') print(f' Authors: {authors}\n') " ``` ## CrossRef Filtered Queries ```bash # Filter by date range and subject curl -s "https://api.crossref.org/works?query=inequality+mobility&filter=from-pub-date:2020-01-01,subject:economics&rows=10&sort=published&order=desc" # Search within a specific journal (by ISSN) curl -s "https://api.crossref.org/journals/0002-8282/works?query=monetary+policy&rows=10" # Lookup by DOI curl -s "https://api.crossref.org/works/10.1257/aer.20171330" ``` ## RePEc IDEAS Search Search the largest economics-specific paper database: ```bash # Search IDEAS/RePEc curl -s "https://ideas.repec.org/cgi-bin/htsearch?q=trade+tariffs+welfare&cmd=Search%21&ul=&m=all&fmt=long&wm=wrd&sp=1&sy=1&dt=range&db=2020-01-01&de=" \ | python3 -c " import sys, re html = sys.stdin.read() titles = re.findall(r'
\d+\.\s*([^<]+)', html) for url, title in titles[:10]: print(f'{title.strip()}') print(f' https://ideas.repec.org{url}\n') " ``` ## SSRN Search Search SSRN working papers (HTML scraping, structured API not public): ```bash # Search SSRN by keyword curl -s "https://papers.ssrn.com/sol3/results.cfm?RequestTimeout=50000000&txtKey_Words=climate+finance+risk" \ -H "User-Agent: Mozilla/5.0" \ | python3 -c " import sys, re html = sys.stdin.read() papers = re.findall(r']*>([^<]+)', html) for url, title in papers[:10]: print(f'{title.strip()}') print(f' {url}\n') " ``` ## Semantic Scholar (Backup for Social Science) ```bash # Semantic Scholar API with social science field filter curl -s "https://api.semanticscholar.org/graph/v1/paper/search?query=causal+inference+social+policy&fieldsOfStudy=Economics,Sociology,Political+Science&fields=title,year,authors,citationCount,externalIds&limit=10" \ | python3 -c " import sys, json data = json.load(sys.stdin) for p in data.get('data', []): title = p.get('title', 'N/A') year = p.get('year', 'N/A') cites = p.get('citationCount', 0) authors = ', '.join(a['name'] for a in p.get('authors', [])[:3]) doi = p.get('externalIds', {}).get('DOI', '') print(f'[{year}] ({cites} cites) {title}') print(f' Authors: {authors}') if doi: print(f' DOI: {doi}') print() " ``` ## Common Social Science Fields (Semantic Scholar) Use with `fieldsOfStudy` parameter: `Economics`, `Sociology`, `Political Science`, `Business`, `Psychology`, `Law`, `Geography`. ## Key Journal ISSNs for CrossRef AER: `0002-8282`, QJE: `0033-5533`, JPE: `0022-3808`, Econometrica: `0012-9682`, REStud: `0034-6527`, JoF: `0022-1082`, APSR: `0003-0554`, ASR: `0003-1224`. ## Best Practices 1. Start with CrossRef for published articles; it provides structured metadata and DOIs. 2. Use SSRN for recent working papers not yet in journals. 3. Use RePEc/IDEAS for the broadest economics-specific coverage. 4. Semantic Scholar is useful as a fallback with citation counts and field filtering. 5. Always include `&rows=` or `&limit=` to control result count. 6. Add `mailto` parameter to CrossRef for polite pool: `&mailto=you@example.com`. 7. Respect rate limits: CrossRef allows 50 req/sec with mailto, 1 req/sec without. --- Source attribution: beita6969 Original project: https://github.com/beita6969/ScienceClaw/blob/e925f732c7ca435f557e88075bc47a58f1e984f1/skills/ssrn-econpapers/SKILL.md License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice MIT License Copyright (c) 2025 Peter Steinberger Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Mega AI Hub resource metadata Creator / publisher: beita6969 Original project: https://github.com/beita6969/ScienceClaw/blob/e925f732c7ca435f557e88075bc47a58f1e984f1/skills/ssrn-econpapers/SKILL.md Attribution basis: Source repository record Fields of work: Data & Analytics, Education & Research Roles: Data Analyst, Market Research Analyst, Researcher Specialties: Specialty not specified Tools: Crossref Api, Repec Ideas, Semantic Scholar, Ssrn Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: cfe81685cc3c4d9ad4754290f6184795d2aeb7f6a921000c71347b287c586636