The sensitivity of the Scaled Model of Error with respect to the choice of the correlation parameters: A simulation study
AbstractIn this paper we investigate the sensitivity of stochastic population forecasts produced by means of the Scaled Model of Error with respect to the choice of the correlation parameters. In particular, we evaluate the impact that a change in the specification of the correlation of the age-specific fertility forecast error increments across time and age and of the correlation of the age-specific mortality forecast error increments across time, age and sex has on the forecasts of the Total Fertility Rate and of the Male and Female Life Expectancies respectively. In our opinion a sensitivity analysis of this kind is extremely useful, since up to now the relevance and the impact of the choice of the Scaled Model of Error input parameters has not be discussed in detail. Such analysis will provide users with a better understanding of the model itself.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by "Carlo F. Dondena" Centre for Research on Social Dynamics (DONDENA), Università Commerciale Luigi Bocconi in its series Working Papers with number 037.
Length: 11 pages
Date of creation: Jan 2011
Date of revision:
Contact details of provider:
Postal: via Rontgen, 1 - 20136 Milano
Web page: http://www.dondena.unibocconi.it/
Other versions of this item:
- Graziani, Rebecca & Keilman, Nico, 2010. "The sensitivity of the Scaled Model of Error with respect to the choice of the correlation parameters: A Simulation Study," Memorandum 22/2010, Oslo University, Department of Economics.
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
- C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
- J40 - Labor and Demographic Economics - - Particular Labor Markets - - - General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-02-19 (All new papers)
- NEP-CIS-2011-02-19 (Confederation of Independent States)
- NEP-CMP-2011-02-19 (Computational Economics)
- NEP-FOR-2011-02-19 (Forecasting)
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Gianni Corsetti & Marco Marsili, 2013. "Previsioni stocastiche della popolazione nell’ottica di un Istituto Nazionale di Statistica," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 15(2-3), pages 5-29.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Rodolfo Baggio).
If references are entirely missing, you can add them using this form.