We propose a new, computationally-efficient way to approximate the “grouped fixed-effects” (GFE) estimator of Bonhomme and Manresa (2015), which estimates grouped patterns of unobserved heterogeneity. To do so, we generalize the fuzzy C-means objective to regression settings. As the...

In this article we investigate the determinants of the European “Most Cited Publications”. We use data from the European Innovation Scoreboard-EIS of the European Commission for the period 2010-2019. Data are analyzed with Panel Data with Fixed Effects, Panel Data with Random Effects, WLS,...

Purpose – The article aims at discovering classes and clusters of EU member-statesconsidering their levels of economic development and gender equality to foster the enhance-ment of EU cohesion policy.Research methodology – The methodology includes the grouping by two parameters,...

This study aims to segment strategies consumers use to ‘cope’ with service failure using a novel clustering algorithm. It evaluates whether identified customer segments exhibit different anger prototypes, alongside variations in felt intensity therein. It also investigates whether different...

This study presents a thorough and systematic analysis of political advertising research to chart the thematic progression of political advertising literature. This study further aims at helping academics, industry, and society understand the current state of political advertising while...

The aim of the paper is to identify groups of banks with similar environmental commitment, taking into account their direct environmental impact. The study, which employs the aggregation method, reveals that small banks with a relatively worse financial standing are characterised by the lowest...

Applying clustering techniques, this paper identifies homogeneous groups of enterprises within the heterogeneous landscape of the italian manufacturing tissue. The algorithm will be fed with data from a survey on a cross-section of SMEs in 2019. The set of questions span from economic and...