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文章基本信息

  • 标题:Assessing consistency of consumer confidence data using latent class analysis with time factor
  • 作者:Sunil Kumar ; Zakir Husain ; Diganta Mukherjee
  • 期刊名称:Economic Analysis and Policy
  • 印刷版ISSN:0313-5926
  • 出版年度:2017
  • 卷号:55
  • 页码:35-46
  • DOI:10.1016/j.eap.2017.04.004
  • 出版社:Elsevier B.V.
  • 摘要:

    In many countries information on expectations collected through consumer confidence surveys are used in macroeconomic policy formulation. Unfortunately, before doing so, the consistency of responses is often not taken into account, leading to biases creeping in and, in turn, affecting the consistency of the indices hence created. This paper describes how latent class analysis may be used to check the consistency of responses and ensure parsimony in the questionnaire. In particular, we examine how temporal changes may be incorporated into the model. Our methodology is illustrated using three rounds of Consumer Confidence Survey (CCS) conducted by Reserve Bank of India (RBI).

  • 关键词:Latent class analysis; Reliability analysis; Consumer confidence survey; India
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