000266536 001__ 266536
000266536 005__ 20210122080734.0
000266536 0247_ $$2doi$$a10.22004/ag.econ.266536
000266536 037__ $$a2015-2018-104
000266536 041__ $$aeng
000266536 084__ $$aC40
000266536 084__ $$aD83
000266536 084__ $$aI18
000266536 245__ $$aA Complex Model of Consumer Food Acquisitions: Applying Machine Learning and Directed Acyclic Graphs to the National Household Food Acquisition and Purchase Survey (FoodAPS)
000266536 260__ $$c2018
000266536 269__ $$a2018-01-15
000266536 336__ $$aConference Paper/ Presentation
000266536 490__ $$aPaper 147
000266536 520__ $$aComplex causal relationships among a large set of variables that affect the U.S. households’ food acquisition and purchase decisions were estimated using machine learning algorithms and directed acyclic graphs. Asians and Hispanics live in an environment with high concentrations of fast- and non-fast food restaurants. Obesity is less prevalent among Asians. Being Hispanic makes one to be more food insecure. Those with higher incomes are food secure and obesity is less prevalent among them. Being Black positively causes to be a SNAP participant and food insecure. Obesity is positively caused by fair/poor health and diet status.
000266536 546__ $$aEnglish
000266536 650__ $$aConsumer/Household Economics
000266536 650__ $$aFood Consumption/Nutrition/Food Safety
000266536 6531_ $$aDirected Acyclic Graphs
000266536 6531_ $$aNational Household Food Acquisition and Purchase Survey
000266536 6531_ $$aFood Environment
000266536 6531_ $$aFood Insecurity
000266536 6531_ $$aObesity
000266536 700__ $$aSenia, Mark C.
000266536 700__ $$aDharmasena, Senarath
000266536 700__ $$aTodd, Jessica E.
000266536 8560_ $$fmark.c.senia@gmail.com
000266536 8564_ $$9baa24d5a-f2a9-47b2-9faf-7618cd666522$$s1163829$$uhttps://ageconsearch.umn.edu/record/266536/files/Senia%20Dharmasena%20Todd%20FoodAPS%20SAEA%202018.pdf
000266536 8564_ $$99c0bdaf2-f83b-4469-ae5d-db607716325a$$xpdfa$$s1902501$$uhttps://ageconsearch.umn.edu/record/266536/files/Senia%20Dharmasena%20Todd%20FoodAPS%20SAEA%202018.pdf?subformat=pdfa
000266536 909CO $$ooai:ageconsearch.umn.edu:266536$$pGLOBAL_SET
000266536 913__ $$aBy depositing this Content ('Content') in AgEcon Search, I agree that  I am solely responsible for any consequences of uploading this Content to AgEcon Search and making it publicly available, and I represent and warrant that: I am either the sole creator and the owner of the copyrights and all other rights in the Content; or, without obtaining another’s permission, I have the right to deposit the Content in an archive such as AgEcon Search. To the extent that any portions of the Content are not my own creation, they are used with the copyright holder’s express permission or as permitted by law. Additionally, the Content does not infringe the copyrights or other intellectual property rights of another, nor does the Content violate any laws or another’s rights of privacy or publicity. The Content contains no restricted, private, confidential, or otherwise protected data or information that should not be publicly shared. I understand that AgEcon Search will do its best to provide perpetual access to my Content. In order to support these efforts, I grant the Regents of the University of Minnesota ('University'), through AgEcon Search, the following non-exclusive, irrevocable, royalty-free, world-wide rights and licenses: to access, reproduce, distribute and publicly display the Content, in whole or in part, in order to secure, preserve and make it publicly available, and to make derivative works based upon the Content in order to migrate the Content to other media or formats, or to preserve its public access. These terms do not transfer ownership of the copyright(s) in the Content. These terms only grant to the University the limited license outlined above.
000266536 980__ $$a2015
000266536 982__ $$aSouthern Agricultural Economics Association>2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida