论文标题
价格稀薄的样本需求分析
Demand Analysis with a Thin Price Sample
论文作者
论文摘要
对于大约125件食物，印度国家样本调查的消费者支出调查（CES）时间表要求访调员在参考期内从受访者那里获得家庭消费的数量和价值。这似乎给受访者带来了巨大负担。但是在每个第一阶段单位（FSU）中，通常支付的价格可能几乎相同。目前的工作提出了一项新的抽样计划，以估计基本食品的需求弹性。虽然实践中使用的常规抽样方法（例如，在NSS消费者支出调查中）涉及从FSU中抽样的许多家庭中寻求价格信息，但拟议的程序仅涉及从每个FSU随机选择的一个家庭以进行价格数据收集，因此需要减少面试负担。使用NSS 2011-12 CES中蔬菜物品的单位记录，我们的结果表明，尽管需要更少的数据，但新计划还是像以前一样精确地捕捉了家庭食品消费行为。
For about 125 items of food, the Consumer Expenditure Survey (CES) schedule of the Indian National Sample Survey asks the interviewer to obtain both quantity and value of household consumption during the reference period from the respondent. This would appear to put a great burden on the respondent. But it is likely that the price usually paid is almost the same within each first stage unit (fsu). The present work proposes a new sampling scheme to estimate demand elasticities of essential food items. While the conventional sampling method used in practice (e.g. in NSS consumer expenditure survey) involves seeking price information from many households sampled from a fsu, the proposed procedure involves only one household chosen randomly from every fsu for price data collection and thus requires much less interview burden. Using unit records for vegetable items in the NSS's 2011-12 CES, our results show that in spite of requiring much less data, the new scheme captures the household food consumption behavior as precisely as before.
