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Sampling Methods | 20-November-2017

BAYESIAN MODEL AVERAGING AND JOINTNESS MEASURES: THEORETICAL FRAMEWORK AND APPLICATION TO THE GRAVITY MODEL OF TRADE

The following study presents the idea of Bayesian model averaging (BMA), as well as the benefits coming from combining the knowledge obtained on the basis of analysis of different models. The BMA structure is described together with its most important statistics, g prior parameter proposals, prior model size distributions, and also the jointness measures proposed by Ley and Steel (2007), as well as Doppelhofer and Weeks (2009). The application of BMA is illustrated with the gravity model of

Krzysztof Beck

Statistics in Transition New Series, Volume 18 , ISSUE 3, 393–412

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