Journal of the Economic Science Association-JESA

The Journal of the Economic Science Association (JESA) is dedicated to advancing theoretical, empirical, methodological and policy-relevant knowledge using experimental economic methods. JESA promotes research pioneering and advancing laboratory and field methods to address important economic questions that are difficult to examine using naturally occurring data. JESA is open to all areas of inquiry in economics and at the intersection of economics and other disciplines including but not limited to psychology, political science, statistics, finance, marketing, and organizational behavior. JESA will focus on publishing shorter papers (original articles, methodological pieces, surveys, comments on recently published experimental papers), and article types that are important yet under-represented in the experimental literature (i.e., replications, minor extensions, robustness checks, meta-analyses, and good experimental designs even if obtaining null results). JESA will periodically publish special issues with themes of particular interest for economics experiments, including articles solicited from leading scholars both within and outside of experimental economics.    JESA advances experimental economics by bringing together innovative research that meets professional standards of experimental method, but without editorial bias towards specific orientations. All papers will be reviewed through the standard, anonymous-referee procedure and all accepted manuscripts will be subject to the approval of both editors. Authors are expected to submit separate data and instruction appendices which will be attached to the journal's web page upon publication.  The journal is published under the auspices of the Economic Science Association (https://www.economicscience.org), a professional organization devoted to using controlled experiments to learn about economic behavior. JESA is a companion journal to Experimental Economics which will publish longer original articles (excluding meta-analyses), together with longer surveys and methodologies.

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