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...

We propose a new way to obtain identification results using order statistics as finite mixtures with two key properties: i) the weights are known integer numbers; and ii) the elements of the mixture are the distributions of the maximum over a subset of the original random variables. We leverage...

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...

This study examines the influence of students' ordinal positions in the distribution of grades in their ninth-grade school cohort on subsequent educational and labor market outcomes using population-wide data for Sweden. The identification strategy uses differences between students’ ranks in...

We estimate the long-term consequences of math and reading rank within an elementary school on short and long-term outcomes. We find that higher rank leads to better outcomes. Students ranked at the top in grade 7 perform up to 0.33 standard deviations higher on future school exams, are more...

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...

Multi-Criteria Decision-Making (MCDM) methods, particularly TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) and VIKOR (VIsekriterijumska optimizacija i KOmpromisno Resenje) (Multicriteria Optimization and Compromise Solution), are extensively used in logistics for...

Economic data are often contaminated by measurement errors and truncated by ranking. This paper shows that the classical measurement error model with independent and additive measurement errors is identified nonparametrically using only two order statistics of repeated measurements. The...

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...

Economic data are often contaminated by measurement errors and truncated by ranking. This paper shows that the classical measurement error model with independent and additive measurement errors is identified nonparametrically using only two order statistics of repeated measurements. The...