Assessing consistency of consumer confidence data using latent class analysis with time factor
Zakir Husain () and
Economic Analysis and Policy, 2017, vol. 55, issue C, 35-46
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).
Keywords: Latent class analysis; Reliability analysis; Consumer confidence survey; India (search for similar items in EconPapers)
JEL-codes: C32 E31 E37 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
Full text for ScienceDirect subscribers only
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:eee:ecanpo:v:55:y:2017:i:c:p:35-46
Access Statistics for this article
Economic Analysis and Policy is currently edited by Clevo Wilson
More articles in Economic Analysis and Policy from Elsevier
Bibliographic data for series maintained by Dana Niculescu ().