lit-review-assistant

Writing an economics literature review requires defining your research domain, generating targeted search terms across databases like EconLit, and synthesizing cross-paper patterns. This skill structures that process by extracting consistent data on each paper's question, methods, findings, and limitations to identify actionable research gaps.

The best way to summarize economics papers for research synthesis is using a structured extraction schema. This skill generates consistent templates capturing the citation, question, data and methods, findings, limitations, and relevance of each paper, enabling accurate cross-paper comparison and gap detection.

Identifying research gaps in economics literature involves analyzing synthesized summaries to highlight consensus, disagreements, and unanswered questions. This skill systematically extracts data methods and findings from individual papers, then maps missing methods and unanswered questions directly to your project's scope.

Yes, you can build a search strategy for databases like EconLit and Google Scholar. This skill produces primary search terms alongside methodological, outcome, and geographic filters, ensuring your search queries match your exact economic question and specified time horizons.

Yes, this literature review process works for supporting paper introductions and drafting proposals. The skill applies structured synthesis to new project discovery and evidence synthesis for specific economic questions, outputting actionable gap analysis tied to your contribution scope.

When synthesizing cross-paper economics findings, limitations depend on your defined research scope, selected databases, and time horizons. The skill requires a consistent extraction schema for each paper but relies on your initial domain definition to ensure the review remains targeted rather than scattered.