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D-separation, forecasting, and economic science: a conjecture

期刊

THEORY AND DECISION
卷 73, 期 2, 页码 295-314

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SPRINGER
DOI: 10.1007/s11238-012-9305-8

关键词

Model choice; Artificial intelligence; Forecast

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The paper considers the conjecture that forecasts from preferred economic models or theories d-separate forecasts from less preferred models or theories from the Actual realization of the variable for which a scientific explanation is sought. D-separation provides a succinct notion to represent forecast dominance of one set of forecasts over another; it provides, as well, a criterion for model preference as a fundamental device for progress in economic science. We demonstrate these ideas with examples from three areas of economic modeling.

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