Issue 6. 2024
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Full publication
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Doc. Document
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- Presentation of Volume 6, 1, 2024 José María Sarabia
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Measuring tourism using mobile network data
Belén González Olmos, María Velasco Gimeno
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Doc. - DOI
- https://doi.org/10.37830/SJS.2024.1.02
- Abstract
In Spain, Tourism basic statistics are responsibility of the National Statistical Institute (INE) and traditionally are based on surveys. In recent years, due to the challenges associated with the collection of data from persons, especially during the COVID-19 pandemic, national statistics offices have explored the access to data generated by private sector using two different approaches: based on either a specific arrangement or taking advantage of a regulatory framework. In this article, the Spanish experience in the use of mobile phones positioning data is explained.
INE uses mobile phone positioning data as auxiliary information to tourism surveys with the objective of improving the geographical breakdown of tourism figures. The use of this source of information allows obtaining new products with a granularity in terms of origin/destination of tourists that would be impossible to achieve using traditional techniques, without increasing the cost of the statistics and the burden on the informant. Nonetheless, it poses some challenges in terms of quality assurance and sustainable access. The results are published as experimental statistics, but the ultimate aim is to integrate them with traditional tourism surveys.- Keywords
- tourism statistics, official statistics, Big Data, modernization, mobile network data, granularity, quality, integration of sources
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Finding most nearly compatible conditionals under
a finite discrete set-up: An overview and recent
developments
Indranil Ghosh
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Doc. - DOI
- https://doi.org/10.37830/SJS.2024.1.03
- Abstract
In modeling complicated real-life scenarios, one objective is to capture the dependence being observed. Consequently, conditional specification is a worthy alternative to the joint-distribution models. Since its¿ inception, the use of divergence measures have been instrumental in determining the closeness between two probability distributions, especially when joint distributions are specified by the corresponding conditional distributions. Conditional specification of distributions is a developing area with several applications. This work gives an overview of a variety of divergence measures including, but not limited to, Kullback-Leibler divergence measure, Power-divergence statistic, Hellinger distance along with some newly developed divergence measures and its role in addressing various compatible conditions in search for a most-nearly compatible for a finite discrete case, and also identifying compatibility under conditional and marginal information under some additional information in the form of marginal and/or conditional summary. Finally, we provide some numerical examples to illustrate each of the scenarios.
- Keywords
- ncompatible conditionals, divergence measures, iterative algorithm, conditional specification, near compatibility
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Census-based comparability of data on literacy processes inWestern Europe
a finite discrete set-up: An overview and recent
developments
José Manuel Gutiérrez
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Doc. - DOI
- https://doi.org/10.37830/SJS.2024.1.04
- Abstract
A comparative picture of the literacy processes in Western Europe on the eve of and during the Second Industrial Revolution is provided, taking censual literacy rates as a yardstick to measure and compare literacy in different countries. Censual data are obtained and analysed from the original source. If only partial or insufficient censual data are available, literacy is assessed as if given by full censual data. A set of comparable (as far as possible) literacy data is built. Four literacy groups result. The area of Western Europe where mass literacy was first achieved was the German-speaking or culturally highly Germanised zone. Britain and Sweden turn out to be in the same cluster as France. The periphery of Western Europe shows a well-known pattern of delayed literacy development.
- Keywords
- Historical censuses, literacy, nineteenth century,Western Europe
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