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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/84192 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/84192 http://eprints.org/relation/ismediumThumbnailVersionOf https://pure.iiasa.ac.at/id/document/84192 84198 2 236659 document 84198 small.jpg image/png 15226cbc1609cf8955785598eb48fdfb MD5 1675 2018-05-28 09:38:59 https://pure.iiasa.ac.at/id/eprint/15296/6/small.jpg 15296 6 6 image/png other Thumbnails conversion from text to thumbnail_small en staffonly

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/84192 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/84192 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/84192 archive 353 disk0/00/01/52/96 2018-05-28 09:30:33 2021-08-27 17:30:24 2018-05-28 09:30:33 article show Hofmarcher P. Crespo Cuaresma J. 1838 Grün B. Humer S. Moser M. pub prog_pop Bayesian Model Averaging; Jointness; Robust Growth Determinants; Association Rules We introduce a new measure of bivariate jointness to assess the degree of inclusion dependency between pairs of explanatory variables in Bayesian Model Averaging analysis. Building on the discussion concerning appropriate statistics to assess covariate inclusion dependency in this context, a set of desirable properties for bivariate jointness measures is proposed. We show that none of the proposed measures so far meets all these criteria and an alternative measure is presented which fulfils all of them. Our measure corresponds to a regularised version of the Yule’s Q association coefficient, obtained by combining the original measure with a Jeffreys prior to avoid problems in the case of zero counts. We provide an empirical illustration using cross-country data on economic growth and its determinants. 2018-09 published Elsevier 10.1016/j.jmacro.2018.05.005 58 public Journal of Macroeconomics 57 150-165 TRUE 1873-152X FALSE no info:eu-repo/semantics/article