Rank-rank regression is commonly employed in economic research as a way of capturing the relationship between two economic variables. It frequently features in studies of intergenerational mobility as the resulting coefficient, capturing the rank correlation between the variables, is easy to...

Measuring the physical durability of garments is difficult and current assessment methods lack objectivity and reliability or don't reflect the complex nature of durability for different garment categories. This study presents a novel and reproducible methodology for testing and ranking the...

Rank-rank regression is commonly employed in economic research as a way of capturing the relationship between two economic variables. It frequently features in studies of intergenerational mobility as the resulting coefficient, capturing the rank correlation between the variables, is easy to...

We use data from a Norwegian field experiment where young students were taught mathematics in small, homogenous groups to investigate how treatment effects varied across middle-achieving students dependent on their rank order and their tutors’ instructional practices. We find that individuals...

Over the past decade, sentiment analysis has emerged as a pivotal tool in tourism-related texts, driven by the sheer volume of tourist attractions and the wealth of online information. Tourists increasingly turn to travel websites to access specific information that often eludes standard...

Narratives drive consumer satisfaction on the one hand and the reputation of the reporting media on the other hand, but current research addresses either alone. This article integrates the narrative of the consumer and the ranking of the reporting media to understand the consumer satisfaction in...

The national economy of each country and its long-term development depend on the quality of the human resources. The higher education sector is one of the most important factors in building a highquality workforce. It is exactly because of the importance of higher education institutions that...

It has been shown that, despite being consistent and in some cases efficient, maximum pseudo-likelihood (MPL) estimation for copula models overestimates the level of dependence, especially for small samples with a low level of dependence. This is especially relevant in finance and insurance...

We model student enrollment in markets for higher education where public universities, private non-profit universities, and private for-profit universities compete. Universities differ with respect to their capacity, graduation probability, and profit objective; students differ in ability. The...

Purpose: The World Bank's "Ease of Doing Business" index, among other business rankings, can help a country's economic progress by attracting foreign investments, encouraging entrepreneurship, and improving the business climate. Superior rankings indicate an optimised environment for business...

This study presents a novel approach to arithmetic operations and ranking of Generalized Fuzzy Numbers (GFNs) for decision-making under uncertainty. Traditional methods often yield irrational outputs when dealing with GFNs, especially in complex situations where precision and clarity are...

This study presents a hybrid fuzzy Multi-Attribute Group Decision Making (MAGDM) model with application to commercial insurance selection. The proposed hybrid model uses Spherical Fuzzy (SF) sets using Yager t-norm and t-conorm operations. The Logarithmic Decomposition of Criteria Importance...

In this study, we examine the impact of a student's household socioeconomic status (SES) rank within a class on two critical factors affecting the accumulation of human capital: school bullying victimization and school absence. We identify the effect from the variation of a within-class SES rank...