@article{Elsner:14909,
      recid = {14909},
      author = {Elsner, Karin},
      title = {ANALYSING RUSSIAN FOOD EXPENDITURE USING MICRO-DATA},
      address = {1999},
      number = {918-2016-72661},
      series = {IAMO Discussion Paper No. 23},
      pages = {48},
      year = {1999},
      abstract = {Since the beginning of transition, the level and structure  of average food consumption and expenditure of Russian  households has changed substantially. This development has  gone together with a steep increase in the share of food in  total expenditure. Notable differences with respect to food  expenditure are observed between distinct household strata.  In this paper, food demand of Russian households is  investigated. For this purpose, households are classified  by sociodemographic characteristics, and differences  between food demand patterns of various household types are  described using data of a Russian household survey of 1996.  Russian food demand is econometrically estimated for  seventeen food commodities belonging to five groups using a  two-stage linear approximation of the Almost Ideal Demand  System (LA/AIDS). Total expenditure allocation on food and  non-food is analysed using Working's Engel model. The basic  models are extended by sociodemographic factors. In a first  step, unit values of food commodities are adjusted for  quality differences and Probit analyses are carried out to  analyse the decision to purchase food commodities. In a  second step, the Engel model and the LA/AIDS are estimated  applying the Generalised Heckman procedure in order to  account for estimation bias introduced from zero  expenditures. The estimates are used to calculate total  expenditure and own price elasticities for different  household groups. The results indicate that  sociodemographic characteristics exert an important  influence on the level and composition of food expenditure  and on food demand elasticities. Therefore, if demand  analysis shall contribute to the design of comprehensive  food and social policies, not only average estimates for  the population as a whole, but estimates for specific  population groups should be considered.},
      url = {http://ageconsearch.umn.edu/record/14909},
      doi = {https://doi.org/10.22004/ag.econ.14909},
}