External Information Model in a Compositional Perspective: Evaluation of Campania Adolescents’ Preferences in the Allocation of Leisure-Time
Maria Anna Di Palma () and
Michele Gallo
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Maria Anna Di Palma: University of Naples “L’Orientale” - DISUS
Michele Gallo: University of Naples “L’Orientale” - DISUS
Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, 2019, vol. 146, issue 1, No 8, 117-133
Abstract:
Abstract The study of preferences of leisure-time activities provides important information on the characteristics and inclinations of specific demographics. Modeling these data offers a useful insight in the identification of service demand and thus helps to define effective social strategies. Individual preferences concerning leisure-time activities of Campania region high school students are here analyzed, as expressions of a subjective perception of time and as a result of external constraints on choices. The main approach concerns: first, analyze individual changes in the allocation of time among different leisure activities and second, discern the role that external factors play in determining adolescents’ preferences. The duality of the issue is addressed considering the allocation of time as a budget-time problem where individual leisure time activities constitute relative contributions to the total amount of time, adding to the model the specific characteristics of the respondents. More specifically, a methodology that combines regression and multivariate analysis (External Information model) is reformulated in a compositional framework. The usefulness of the compositional approach is to preserve the adolescents’ statements of preferences leading to a correct outcome when the External Information model is performed. Results provided evidences that gender is an important factor of influence on adolescents’ choices as well as the compound of parents’ level of education and the total amount of free-time spent in a day by each individual considered.
Keywords: External information; Compositional data; Log-ratios; Principal Component Analysis (PCA); Projection operators; Allocation of leisure-time (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1007/s11205-018-1898-z
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