000162022 001__ 162022
000162022 005__ 20210819132658.0
000162022 0247_ $$2doi$$a10.22004/ag.econ.162022
000162022 037__ $$a428-2016-27976
000162022 037__ $$a428-2016-28571
000162022 041__ $$aeng
000162022 245__ $$aThe income elasticity of meat: a meta-analysis
000162022 260__ $$c2010
000162022 269__ $$a2010
000162022 270__ $$mcgallet@csus.edu$$pGallet,   Craig A.
000162022 300__ $$a14
000162022 336__ $$aJournal Article
000162022 520__ $$aThe demand for meat has been estimated by many studies utilizing various data and
estimation methods. In this study, we perform a meta-analysis of the income elasticity
of meat that involves regressing 3357 estimated income elasticities, collected from 393
studies, on variables that control for study characteristics. Across several meta-regression
specifications, we find significant differences in income elasticities tied to the type
of meat being studied, as well as a few functional forms, data aggregations, publication
characteristics, and locations of demand. However, many study characteristics do
not significantly influence reported income elasticities. Less concern should be given to
such characteristics when choosing an income elasticity from the literature.
000162022 546__ $$aEnglish
000162022 650__ $$aDemand and Price Analysis
000162022 650__ $$aLivestock Production/Industries
000162022 6531_ $$aincome elasticity
000162022 6531_ $$ameat demand
000162022 6531_ $$ameta-analysis
000162022 700__ $$aGallet, Craig A.
000162022 773__ $$q477$$o490$$tAustralian Journal of Agricultural and Resource Economics$$j54$$k4$$dDecember 2010
000162022 8564_ $$9df5d1d5e-4a21-4d79-b4fb-6b0c3cca9ab6$$s127186$$uhttps://ageconsearch.umn.edu/record/162022/files/j.1467-8489.2010.00505.x.pdf
000162022 887__ $$ahttp://purl.umn.edu/162022
000162022 909CO $$ooai:ageconsearch.umn.edu:162022$$pGLOBAL_SET
000162022 912__ $$nSubmitted by Adrienne Keiser (keise023@umn.edu) on 2013-12-26T21:34:35Z
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  Previous issue date: 2010
000162022 913__ $$aLicense granted by Adrienne Keiser (keise023@umn.edu) on 2013-12-26T21:31:24Z (GMT):

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000162022 980__ $$a428
000162022 982__ $$gAustralian Journal of Agricultural and Resource Economics>Volume 54, Issue 4, December 2010