@article{Leffler:124913,
      recid = {124913},
      author = {Leffler, Kristyn K. and Carpio, Carlos E. and Boonsaeng,  Tullaya},
      title = {Temporal Aggregation and Treatment of Zero Dependent  Variables in the Estimation of Food Demand using  Cross-Sectional Data},
      address = {2012},
      number = {323-2016-11451},
      pages = {40},
      year = {2012},
      abstract = {This study analyzes U.S. consumers' demand for eight food  commodity groups: Cereal and Bakery goods, Meat and Eggs,  Dairy, Fruits and Vegetables, Nonalcoholic Beverages, Fats  and Oils, Sugar and Sweets, and Miscellaneous goods. The  data used in this study is Nielsen Homescan data for the  period 2002-2006. Two different levels of temporal  aggregation, monthly and the average month within a year,  referred to as "annual" were considered. We conclude that  the models using monthly data closely approximate the  underlying annual expenditure elasticities, but do a poor  job of estimating own- and -cross price elasticities and  marginal effects. This finding is true for both the  uncensored model of Blundell and Meghir (1987), and the  two-step censored model of Shonkwiler and Yen (1999). We  also find that the more complex two-step censored model  does not improve precision of the estimates over the  simpler model.},
      url = {http://ageconsearch.umn.edu/record/124913},
      doi = {https://doi.org/10.22004/ag.econ.124913},
}