Detecting Public Social Spending Patterns in Italy Using a Three-Way Relative Variation Approach
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Studies on public social spending often fail to address the issues connected with budgetary constraints. Budget lines require public entities to partition resources among sectors of spending on the basis of preferred combinations and trade-offs. Standard exploratory tools do not allow to unveil this preference structure as they are hindered by the differences in budget scales and by the bounded nature of sector variability, i.e. an increase in one sector means a missed increase or a decrease in other sectors. In this work Italian public social spending is modeled with an alternative log-ratio methodology which allows to study relative variation patterns among sectors. It is also important to note that since the data is collected across time a three-way approach is recommended so that the variability of each mode is kept separate.
KeywordsBudgetary constraint CANDECOMP/PARAFAC Compositions Logcontrast Multi-way data Welfare expenditures
- Bergeron-Boucher, M. P., Simonacci, V., Oeppen, J., & Gallo, M. (2018). Coherent modeling and forecasting of mortality patterns for subpopulations using multiway analysis of compositions: An application to Canadian provinces and territories. North American Actuarial Journal, 22(1), 1–27.CrossRefGoogle Scholar
- Egozcue, J. J., Barceló-Vidal, C., Martín-Fernández, J. A., Jarauta-Bragulat, E., Díaz-Barrero, J. L., & Mateu-Figueras, G. (2011). Elements of simplicial linear algebra and geometry. In V. Pawlowsky-Glahn, A. Buccianti (Eds.), Compositional data analysis: theory and applications (pp. 141–157). Chichester: Wiley.Google Scholar
- Eurostat. (2017). Social protection statistics—main indicators. Statistics Explained [online]. Available at http://ec.europa.eu/eurostat/statistics-explained/index.php/Social_protection_statistics__main_indicators.
- Gallo, M., & Simonacci, V. (2013). A procedure for the three-mode analysis of compositions. Electronic Journal of Applied Statistical Analysis, 6(2), 202–210.Google Scholar
- Harshman, R. A. (1970). Foundations of the PARAFAC procedure: Models and conditions for an ‘explanatory’ multi-modal factor analysis. UCLA Working Papers in Phonetics, 16, 1–84.Google Scholar
- ISTAT (2013) Gli interventi e i servizi sociali dei comuni singoli e associati [online]. Available at http://www.istat.it/it/files/2013/05/STATISTICA_REPORT_COMUNI_2010_DEF.pdf.
- ISTAT (2015). Indagine sugli interventi e i servizi sociali dei comuni singoli e associati [online]. Available at http://www.istatit/it/archivio/166482.
- OECD (2007). Glossary of Statistical Terms [online]. Available at https://stats.oecd.org/glossary/index.htm.
- OECD (2016). Social Expenditure Update [online]. Available at http://www.oecd.org/social/expenditure.htm.
- Pawlowsky-Glahn, V., Egozcue, J. J., & Tolosana-Delgado, R. (2015). Modeling and analysis of compositional data. Hoboken: Wiley.Google Scholar
- R. Core Team, et al. (2013). R: A language and environment for statistical computing. Vienna: Austria.Google Scholar