TY  - CPAPER 
AB  - Complex 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.
AU  - Senia, Mark C.
AU  - Dharmasena, Senarath
AU  - Todd, Jessica E.
DA  - 2018-01-15
DA  - 2018
DO  - 10.22004/ag.econ.266536
DO  - doi
ID  - 266536
KW  - Consumer/Household Economics
KW  - Food Consumption/Nutrition/Food Safety
KW  - Directed Acyclic Graphs
KW  - National Household Food Acquisition and Purchase Survey
KW  - Food Environment
KW  - Food Insecurity
KW  - Obesity
L1  - https://ageconsearch.umn.edu/record/266536/files/Senia%20Dharmasena%20Todd%20FoodAPS%20SAEA%202018.pdf
L1  - https://ageconsearch.umn.edu/record/266536/files/Senia%20Dharmasena%20Todd%20FoodAPS%20SAEA%202018.pdf?subformat=pdfa
L2  - https://ageconsearch.umn.edu/record/266536/files/Senia%20Dharmasena%20Todd%20FoodAPS%20SAEA%202018.pdf
L2  - https://ageconsearch.umn.edu/record/266536/files/Senia%20Dharmasena%20Todd%20FoodAPS%20SAEA%202018.pdf?subformat=pdfa
L4  - https://ageconsearch.umn.edu/record/266536/files/Senia%20Dharmasena%20Todd%20FoodAPS%20SAEA%202018.pdf
L4  - https://ageconsearch.umn.edu/record/266536/files/Senia%20Dharmasena%20Todd%20FoodAPS%20SAEA%202018.pdf?subformat=pdfa
LA  - eng
LA  - English
LK  - https://ageconsearch.umn.edu/record/266536/files/Senia%20Dharmasena%20Todd%20FoodAPS%20SAEA%202018.pdf
LK  - https://ageconsearch.umn.edu/record/266536/files/Senia%20Dharmasena%20Todd%20FoodAPS%20SAEA%202018.pdf?subformat=pdfa
N2  - Complex 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.
PY  - 2018-01-15
PY  - 2018
T1  - A Complex Model of Consumer Food Acquisitions: Applying Machine Learning and Directed Acyclic Graphs to the National Household Food Acquisition and Purchase Survey (FoodAPS)
TI  - A Complex Model of Consumer Food Acquisitions: Applying Machine Learning and Directed Acyclic Graphs to the National Household Food Acquisition and Purchase Survey (FoodAPS)
UR  - https://ageconsearch.umn.edu/record/266536/files/Senia%20Dharmasena%20Todd%20FoodAPS%20SAEA%202018.pdf
UR  - https://ageconsearch.umn.edu/record/266536/files/Senia%20Dharmasena%20Todd%20FoodAPS%20SAEA%202018.pdf?subformat=pdfa
Y1  - 2018-01-15
T2  - Paper 147
ER  -