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Different weighting methods in business tendency survey indicators in Swiss manufacturing industry

机译:瑞士制造业商业趋势调查指标中不同的加权方法

摘要

In business cycle analysis the development of inventories still plays a crucial role. The strong movements over time have a large effect particularly on the growth rate of GDP. Quantitative data on inventories are generally of rather low quality. As a complement to quantitative statistics, business tendency surveys (BTS) offer actual data on stocks of different categories and on order books (often called negative inventories) to estimate actual values. However, the qualitative data do not show up in the empirical analysis. One reason could be that the aggregation process in BTS of these two items is often not adequate. Three alternative weighting methods were applied at firm level: no weighting, weighting with the number of employees, weighting with the number of employees plus the ratio of order books/stock to sales. These were compared with the current weighting method which includes stratification and branch weights by value added. The four indicators for each of the BTS questions had a statistically different variance, mean or distribution in most cases. The comparison of these four versions of weighting with the reference series - growth rate of order books and of stocks of finished products - produced quite different results. For the growth rate of order books, the best fit was with the non-weighted responses of the firms to the question on changes of order books. The match with the growth rate of stocks of finished products was generally lower. The best fit was again with the non-weighted responses on the change question on stocks of finished products.
机译:在商业周期分析中,库存的开发仍然起着至关重要的作用。随着时间的推移,强劲的走势尤其会对GDP增长率产生重大影响。有关库存的定量数据通常质量较低。作为定量统计的补充,商业趋势调查(BTS)提供有关不同类别的库存和订单簿(通常称为负库存)的实际数据以估计实际价值。但是,定性数据未在经验分析中显示。原因之一可能是这两个项目在BTS中的汇总过程通常不够充分。在公司一级应用了三种替代的加权方法:不加权,按员工人数加权,按员工人数加权以及订单簿/库存与销售的比率。将它们与当前的加权方法进行比较,该方法包括分层和分支加权值。在大多数情况下,每个BTS问题的四个指标在统计​​学上均具有不同的方差,均值或分布。这四个版本的加权与参考系列的比较(订单簿和成品库存的增长率)产生了截然不同的结果。对于订单簿的增长率,最合适的是企业对订单簿变更问题的非加权响应。与制成品库存增长率的匹配程度通常较低。最合适的还是对成品库存变化问题的非加权回答。

著录项

  • 作者

    Etter Richard; Kuf6berl Eva;

  • 作者单位
  • 年度 2006
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  • 原文格式 PDF
  • 正文语种 eng
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