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ceq-topic-selection

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Use when shaping or sharpening a 《经济学(季刊)》 (China Economic Quarterly, CEQ) research question — turning data/correlation into a clean causal, model-able, internationally-legible topic that a field economist can recognize as a contribution. Use before literature review and identification.

When to use

• shaping CEQ research questions
• sharpening research questions
• turning data into causal topics
• turning correlation into model-able topics
• ensuring international legibility
• diagnosing weak topics
• reshaping policy evaluation topics
• self-diagnosis of topic viability

When not to use

• literature review
• identification strategy design
• data-driven topic selection
• policy recommendation without causal question
• re-running known conclusions with new data

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