English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

In many countries information on expectations collected through consumerconfidence 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 affecting the reliability of the indiceshence created. This paper describes how latent class analysis may be used tocheck the consistency of responses and ensure a parsimonious questionnaire. Inparticular, 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).

Assessing Consistency of Consumer Confidence Data using Dynamic Latent Class Analysis