During the first phase of the COVID-19 pandemic, Istat performed the quick survey “Situation and perspectives of Italian enterprises during the COVID-19 health emergency,” with the aim of assessing the economic situation and the specific actions adopted by businesses to reduce the economic impacts of the emergency. To ensure the continuity in the information flow and to analyze the temporal evolution of the observed phenomena, the survey has been repeated in three different waves. The outcomes of each wave was released just after 2 months from the launch of the survey. The present work analyses the characteristics of the sampling strategy and describes the complexity of the data editing process, in the case of a survey planned to produce estimates able to ensure an acceptable level of accuracy in the maximum timeliness.

The Italian quick survey on the effects of the COVID-19 health emergency on businesses: sampling strategy and data editing / Casciano, M. C.; Varriale, R.. - In: APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY. - ISSN 1524-1904. - (2023), pp. 1-12. [10.1002/asmb.2761]

The Italian quick survey on the effects of the COVID-19 health emergency on businesses: sampling strategy and data editing

Varriale R.
2023

Abstract

During the first phase of the COVID-19 pandemic, Istat performed the quick survey “Situation and perspectives of Italian enterprises during the COVID-19 health emergency,” with the aim of assessing the economic situation and the specific actions adopted by businesses to reduce the economic impacts of the emergency. To ensure the continuity in the information flow and to analyze the temporal evolution of the observed phenomena, the survey has been repeated in three different waves. The outcomes of each wave was released just after 2 months from the launch of the survey. The present work analyses the characteristics of the sampling strategy and describes the complexity of the data editing process, in the case of a survey planned to produce estimates able to ensure an acceptable level of accuracy in the maximum timeliness.
2023
COVID-19; data editing; sampling strategy; statistical survey
01 Pubblicazione su rivista::01a Articolo in rivista
The Italian quick survey on the effects of the COVID-19 health emergency on businesses: sampling strategy and data editing / Casciano, M. C.; Varriale, R.. - In: APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY. - ISSN 1524-1904. - (2023), pp. 1-12. [10.1002/asmb.2761]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1683704
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