EconPapers    
Economics at your fingertips  
 

Citizen-Generated Data and Official Statistics: an application to SDG indicators

Monica Pratesi, Claudio Ceccarelli and Stefano Menghinello

Discussion Papers from Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy

Abstract: Official statistics are collected and produced by national statistical institutions (NSIs) based upon standardized questionnaire forms and a priori designed survey frame. Although the response to NSIs' surveys is mandatory for respondent units, increasing disaffection in replying to official surveys is a common trend across many advanced countries. This work explores the possibility to use Citizen-Generated Data (CGD) as a new information source for the compilation of official statistics. CGD represent a unique and still unexploited data source that share some key characteristics with Big Data, while they present some specific features in terms of information relevance and data generating process. Given the relevance of CGD to reduce the information gap between the demand and supply of new or more robust Sustainable Development Goals (SDG) indicators, the experimental setting to assess the data quality of CGD refers to different ways to integrate official statistics and CGD. Istat collects CGD within the framework of a pilot survey focused on key SDG indicators, and the appropriate methodological approach to assess data quality for official statistics is defined according to different data integration modalities.

Keywords: Citizen-Generated Data (CGD); National statistical Institutions (NSIs); Sustainable Development Goals (SDG); Official statistics (OS); Data Science; Latent variables models; civil society organizations (CSOs) (search for similar items in EconPapers)
JEL-codes: C81 C83 (search for similar items in EconPapers)
Date: 2021-06-01
New Economics Papers: this item is included in nep-big and nep-env
Note: ISSN 2039-1854
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
https://www.ec.unipi.it/documents/Ricerca/papers/2021-274.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pie:dsedps:2021/274

Access Statistics for this paper

More papers in Discussion Papers from Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy Contact information at EDIRC.
Bibliographic data for series maintained by ().

 
Page updated 2022-09-28
Handle: RePEc:pie:dsedps:2021/274