000123954 001__ 123954
000123954 005__ 20180122221202.0
000123954 037__ $$a323-2016-11356
000123954 041__ $$aen_US
000123954 084__ $$aD10
000123954 084__ $$aQ11
000123954 084__ $$aC23
000123954 084__ $$aC61
000123954 245__ $$aAssessing U.S. Household Purchase Dynamics for Dietary Fiber
000123954 260__ $$c2012
000123954 269__ $$a2012
000123954 270__ $$mmhenryo@wsu.edu$$pHenry-Osorio,   Miguel
000123954 270__ $$mddong@ers.usda.gov$$pDong,   Diansheng
000123954 336__ $$aConference Paper/ Presentation
000123954 490__ $$aPoster
000123954 490__ $$a186
000123954 520__ $$aThis study updates existing literature on consumer/household demand for fiber by
examining household purchase dynamics for dietary fiber. It uses a dynamic Tobit model
that allows past purchase occasions to affect current purchase decisions for fiber in a framework that captures simultaneously state dependence, unobserved households
heterogeneity preferences, and serial correlation caused by a stationary first-order choice process. The model controls for the unobserved heterogeneity by adopting a Gaussian random effects specification. It also captures variations in prices over time and controls
for left-censoring. The dynamic model is estimated using the Geweke-Hajivasssiliou-Keane recursive probability simulator and a unique dataset that contains detailed fiber purchase information of households as well as the purchase price, promotion deal, and household demographic information over time.Overall, household purchase decisions are found to be
characterized by significant unobserved heterogeneity, statistically significant positive serial correlation, and negative and significant state dependence, implying that lagged purchases have a strong effect on current household decisions such that households purchasing previously at time period t-1 would buy less fiber at time t. Estimation results also reveal that covariates that are not integral determinants of fiber purchases are
household participation in the WIC program, the age and presence of children between 13
and 17, not being Hispanic, and the employment level of the female head. Furthermore, the education level of the female head has a negative impact on fiber purchases, whereas use of coupons has the opposite effect.
000123954 542__ $$fLicense granted by Miguel Henry-Osorio (mhenryo@wsu.edu) on 2012-05-28T04:31:50Z (GMT):

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000123954 650__ $$aConsumer/Household Economics
000123954 650__ $$aDemand and Price Analysis
000123954 650__ $$aFood Consumption/Nutrition/Food Safety
000123954 6531_ $$aTemporal dependence
000123954 6531_ $$ahousehold choice dynamics
000123954 6531_ $$ahabits
000123954 6531_ $$aGHK recursive simulator
000123954 700__ $$aHenry-Osorio, Miguel
000123954 700__ $$aDong, Diansheng
000123954 8564_ $$s1690476$$uhttp://ageconsearch.umn.edu/record/123954/files/186.pdf
000123954 887__ $$ahttp://purl.umn.edu/123954
000123954 909CO $$ooai:ageconsearch.umn.edu:123954$$pGLOBAL_SET
000123954 912__ $$nSubmitted by Miguel Henry-Osorio (mhenryo@wsu.edu) on 2012-05-28T04:47:58Z
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  Previous issue date: 2012
000123954 982__ $$gAgricultural and Applied Economics Association>2012 Annual Meeting, August 12-14, 2012, Seattle, Washington
000123954 980__ $$a323