A New Metric of Consensus for Likert Scales

IREA Working Papers 2018/21. Research Institute of Applied Economics, University of Barcelona

AQR Working Papers 2018/10. Regional Quantitative Analysis Research Group, University of Barcelona

8 Pages Posted: 18 Oct 2018 Last revised: 3 Jun 2021

See all articles by Oscar Claveria

Oscar Claveria

University of Barcelona - Regional Quantitative Analysis Group (AQR-IREA)

Date Written: September 26, 2018

Abstract

In this study we present a metric of consensus for Likert-type scales. The measure gives the level of agreement as the percentage of consensus among respondents. The proposed framework allows to design a positional indicator that gives the degree of agreement for each item independently of the number of reply options. In order to assess the performance of the proposed metric of consensus, in an iterated one-period ahead forecasting experiment we test whether the inclusion of the degree of agreement in consumers’ expectations regarding the evolution of unemployment improves out-of-sample forecast accuracy in eight European countries. We find that this is the case in five countries (Finland, France, Ireland, Italy and Spain). These results show that the degree of agreement in consumers’ expectations contains useful information to predict unemployment rates and underline the usefulness of consensus-based metrics to track the evolution of economic variables.

Keywords: Likert scales, consensus, geometry, economic tendency surveys, consumer expectations, unemployment

JEL Classification: C14, C51, C52, C53, D12, E24

Suggested Citation

Claveria, Oscar, A New Metric of Consensus for Likert Scales (September 26, 2018). IREA Working Papers 2018/21. Research Institute of Applied Economics, University of Barcelona, AQR Working Papers 2018/10. Regional Quantitative Analysis Research Group, University of Barcelona, Available at SSRN: https://ssrn.com/abstract=3255555 or http://dx.doi.org/10.2139/ssrn.3255555

Oscar Claveria (Contact Author)

University of Barcelona - Regional Quantitative Analysis Group (AQR-IREA) ( email )

Av. Diagonal 690
Barcelona, Barcelona 08034
Spain

HOME PAGE: http://www.ub.edu/aqr/fitxa-persones_en.php?id=8

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