Evaluation of different temporal disaggregation techniques and an application to Italian GDP

In this paper temporally disaggregation is conducted through regression-based models, namely by Chow-Lin (1971) and Fernandez (1981). The disaggregation is carried out using four GDP series of Italy, collecting data from ISTAT (Statistical office of Italy). We evaluated disaggregating capacity as we...

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Автор: Islam, Mohammad Rafiqul
Формат: Стаття
Мова:English
Опубліковано: BRAC University 2010
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Онлайн доступ:http://hdl.handle.net/10361/460
id 10361-460
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spelling 10361-4602019-09-29T05:48:00Z Evaluation of different temporal disaggregation techniques and an application to Italian GDP Islam, Mohammad Rafiqul GDP Temporal disaggregation Related series Estimates Forecast In this paper temporally disaggregation is conducted through regression-based models, namely by Chow-Lin (1971) and Fernandez (1981). The disaggregation is carried out using four GDP series of Italy, collecting data from ISTAT (Statistical office of Italy). We evaluated disaggregating capacity as well as forecasting ability about the future series by different simulation techniques. The analysis shows that Chow-Lin maximum likelihood estimation disaggregates the GDP better than Famandez although, for the case of seasonal adjusted data the performance of both procedure are very close. In contrast, the prediction equality of Femandez seems to outperform Chow-Lin (MaxLog). This a scholastic work, but the results may be a guideline to temporally disaggregate the annual GDP series into quarterly series by Chow-Lin and Femandez approaches, which will be beneficial for the countries where high frequency (quarterly) GDP are not available. It is noted that the paper was written during a two months research training under EMMA program (20/08/2009-20/10/2009) at the department of statistical sciences, university of Padua, Italy. 2010-10-12T05:33:19Z 2010-10-12T05:33:19Z 2009 Article http://hdl.handle.net/10361/460 en BRAC University Journal, BRAC University;Vol.6, No.2,pp. 21-32 application/pdf BRAC University
institution Brac University
collection Institutional Repository
language English
topic GDP
Temporal disaggregation
Related series
Estimates
Forecast
spellingShingle GDP
Temporal disaggregation
Related series
Estimates
Forecast
Islam, Mohammad Rafiqul
Evaluation of different temporal disaggregation techniques and an application to Italian GDP
description In this paper temporally disaggregation is conducted through regression-based models, namely by Chow-Lin (1971) and Fernandez (1981). The disaggregation is carried out using four GDP series of Italy, collecting data from ISTAT (Statistical office of Italy). We evaluated disaggregating capacity as well as forecasting ability about the future series by different simulation techniques. The analysis shows that Chow-Lin maximum likelihood estimation disaggregates the GDP better than Famandez although, for the case of seasonal adjusted data the performance of both procedure are very close. In contrast, the prediction equality of Femandez seems to outperform Chow-Lin (MaxLog). This a scholastic work, but the results may be a guideline to temporally disaggregate the annual GDP series into quarterly series by Chow-Lin and Femandez approaches, which will be beneficial for the countries where high frequency (quarterly) GDP are not available. It is noted that the paper was written during a two months research training under EMMA program (20/08/2009-20/10/2009) at the department of statistical sciences, university of Padua, Italy.
format Article
author Islam, Mohammad Rafiqul
author_facet Islam, Mohammad Rafiqul
author_sort Islam, Mohammad Rafiqul
title Evaluation of different temporal disaggregation techniques and an application to Italian GDP
title_short Evaluation of different temporal disaggregation techniques and an application to Italian GDP
title_full Evaluation of different temporal disaggregation techniques and an application to Italian GDP
title_fullStr Evaluation of different temporal disaggregation techniques and an application to Italian GDP
title_full_unstemmed Evaluation of different temporal disaggregation techniques and an application to Italian GDP
title_sort evaluation of different temporal disaggregation techniques and an application to italian gdp
publisher BRAC University
publishDate 2010
url http://hdl.handle.net/10361/460
work_keys_str_mv AT islammohammadrafiqul evaluationofdifferenttemporaldisaggregationtechniquesandanapplicationtoitaliangdp
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