@article{Fu:142910,
      recid = {142910},
      author = {Fu, Shengfei and Florkowski, Wojciech J. and Nambiar,  Padmanand Madhavan and Resurreccion, Anna V.A. and Chinnan,  Manjeet S.},
      title = {Household Consumption Characteristics of Cookies: The Case  of Uganda},
      address = {2013-01},
      number = {1373-2016-109124},
      pages = {23},
      year = {2013},
      abstract = {The cookie consumption and purchase characteristics of  households were investigated in six cities in Uganda using  household survey data. Cookies can be fortified with  vitamins to improve child nutrition. The application of a  Logit model permitted the identification of factors  significantly affecting household decision to eat cookies.  They are household food buyer/preparer’s age, employment  status, education level, household monthly income,  household location, number of children from 4 to 18  years-old and its squared value. The purchase decision was  modeled as a two-stage or double-hurdle process. The  household purchase decision is shaped by its main food  buyer/preparer’s employment status and education level,  household location, household monthly income, and the  number of children age 4 to 18 years old as well as its  squared value. Higher values of these variables, but the  squared number of children encourage the purchase decision.  However, the decision of purchase counts of cookie boxes is  shaped by another set of variables, including the frequency  of eating cookies, household location, household monthly  income, the number of children age 4 to 18, the type of  cookie box purchased (cookie purchase is made as per piece  purchase and per packet purchase ), and its price. The  findings provide important insights for the local cookie  producers and marketers, as the identified characteristics  and the directional effects are of direct use in the  formulation of the marketing and merchandising decisions.  The findings are also valuable for policymakers, who  concerned about improving nutrition for school children.},
      url = {http://ageconsearch.umn.edu/record/142910},
      doi = {https://doi.org/10.22004/ag.econ.142910},
}