NIPO 096-22-006-0
ISSN 2695-9070
Spanish Journal of Statistics (SJS)
The Spanish Journal of Statistics (SJS) is the official journal of the National Statistics Institute of Spain (INE). The journal replaces Estadística Española, edited and published in Spanish by the INE for more than 60 years, which has long been highly influential in the Spanish scientific community.
The journal seeks papers containing original theoretical contributions of direct or potential value in applications, but the practical implications of methodological aspects are also welcome. The levels of innovation and impact are crucial in the papers published in SJS.
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SJS aims to publish original sound papers on either well-established or emerging areas in the scope of the journal. The objective of papers should be to contribute to the understanding of official statistics and statistical methodology and/or to develop and improve statistical methods; any mathematical theory should be directed towards these aims. Within these parameters, the kinds of contribution considered include:
- Official Statistics.
- Theory and methods.
- Computation and simulation studies that develop an original methodology.
- Critical evaluations and new applications
- Development, evaluation, review, and validation of statistical software and algorithms.
- Reviews of methodological techniques.
- Letters to the editor.
One volume is published annually in two issues, but special issues covering up-to-date challenging topics may occasionally be published.
Issue 6. 2024
Full issue DOI: https://doi.org//10.37830/SJS.2024.1
Presentation of Volume 6, 1, 2024
José María Sarabia
DOI: https://doi.org/10.37830/SJS.2024.1.01 Nº SJS/006
Measuring tourism using mobile network data
Belén González Olmos, María Velasco Gimeno
DOI: https://doi.org/10.37830/SJS.2024.1.02 Nº SJS/006
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- 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.
Finding most nearly compatible conditionals under a finite discrete set-up: An overview and recent developments
Indranil Ghosh
DOI: https://doi.org/10.37830/SJS.2024.1.03 Nº SJS/006
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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.
Census-based comparability of data on literacy processes inWestern Europe
José Manuel Gutiérrez
DOI: https://doi.org/10.37830/SJS.2024.1.04 Nº SJS/006
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- 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.