Experimental Economics Topic Selection

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Evaluates research questions for Experimental Economics journal fit, structuring clean minimal-pair treatment contrasts and identification strategies.

Experimental Economics Topic Selection is a specialized workflow skill designed for academic researchers aiming to publish in the Economic Science Association (ESA) flagship journal, Experimental Economics. It helps scholars pivot from topic-first descriptions to method-first experimental designs, ensuring hypotheses are centered on decisive treatment contrasts, zero-deception protocols, and salient incentives. The skill guides critical pre-data decisions—such as pre-registration, Registered Report routes, lab versus field deployment, and journal boundary selection among JEBO, GEB, AEJ: Micro, and JESA—guaranteeing that studies are structured to produce informative results even under a clean null.

Key Features

01Applies the 'clean null' litmus test to safeguard against publication bias and p-hacking
02Formulates clean minimal-pair treatment contrasts that manipulate a single causal dimension
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04Differentiates submission suitability across sibling journals like JEBO, GEB, AEJ: Micro, and JESA
05Evaluates journal fit against Experimental Economics editorial standards and gate requirements
06Structures pre-data collection strategies including Registered Reports and Pre-Analysis Plans (PAPs)

Use Cases

01Selecting the right target journal across economics sub-disciplines before investing in data collection
02Reframing broad behavioral or economic topics into tightly controlled lab or field experiments
03Preparing Registered Report proposals or pre-registration analysis plans for experimental economics studies