Big data for economic statistics
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2021Corporate Author/ s
UN.ESCAP
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RT Generic T1 Big data for economic statistics A1 Bernal, Irina, Sejersen, Tanja YR 2021 LK https://hdl.handle.net/20.500.12870/3501 PB United Nations AB This Stats Brief gives an overview of big data sources that can be used to produce economic statistics and presents country examples of the use of online price data, scanner data, mobile phone data, Earth Observations, financial transactions data and smart meter data to produce price indices, tourism statistics, poverty estimates, experimental economic statistics during COVID-19 and to monitor public sentiment. The Brief is part of ESCAP's series on the use of non-traditional data sources for official statistics. OL English(30) TY - GEN T1 - Big data for economic statistics AU - Bernal, Irina, Sejersen, Tanja Y1 - 2021 UR - https://hdl.handle.net/20.500.12870/3501 PB - United Nations AB - This Stats Brief gives an overview of big data sources that can be used to produce economic statistics and presents country examples of the use of online price data, scanner data, mobile phone data, Earth Observations, financial transactions data and smart meter data to produce price indices, tourism statistics, poverty estimates, experimental economic statistics during COVID-19 and to monitor public sentiment. The Brief is part of ESCAP's series on the use of non-traditional data sources for official statistics. @misc{20.500.12870_3501 author = {Bernal, Irina, Sejersen, Tanja}, title = {Big data for economic statistics}, year = {2021}, abstract = {This Stats Brief gives an overview of big data sources that can be used to produce economic statistics and presents country examples of the use of online price data, scanner data, mobile phone data, Earth Observations, financial transactions data and smart meter data to produce price indices, tourism statistics, poverty estimates, experimental economic statistics during COVID-19 and to monitor public sentiment. The Brief is part of ESCAP's series on the use of non-traditional data sources for official statistics.}, url = {https://hdl.handle.net/20.500.12870/3501} } @misc{20.500.12870_3501 author = {Bernal, Irina, Sejersen, Tanja}, title = {Big data for economic statistics}, year = {2021}, abstract = {This Stats Brief gives an overview of big data sources that can be used to produce economic statistics and presents country examples of the use of online price data, scanner data, mobile phone data, Earth Observations, financial transactions data and smart meter data to produce price indices, tourism statistics, poverty estimates, experimental economic statistics during COVID-19 and to monitor public sentiment. The Brief is part of ESCAP's series on the use of non-traditional data sources for official statistics.}, url = {https://hdl.handle.net/20.500.12870/3501} } TY - GEN T1 - Big data for economic statistics AU - Bernal, Irina, Sejersen, Tanja UR - https://hdl.handle.net/20.500.12870/3501 PB - United Nations AB - This Stats Brief gives an overview of big data sources that can be used to produce economic statistics and presents country examples of the use of online price data, scanner data, mobile phone data, Earth Observations, financial transactions data and smart meter data to produce price indices, tourism statistics, poverty estimates, experimental economic statistics during COVID-19 and to monitor public sentiment. The Brief is part of ESCAP's series on the use of non-traditional data sources for official statistics.Metadata
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Stats Brief
No. 28, 2021
No. 28, 2021
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Abstract
This Stats Brief gives an overview of big data sources that can be used to produce economic statistics and presents country examples of the use of online price data, scanner data, mobile phone data, Earth Observations, financial transactions data and smart meter data to produce price indices, tourism statistics, poverty estimates, experimental economic statistics during COVID-19 and to monitor public sentiment. The Brief is part of ESCAP's series on the use of non-traditional data sources for official statistics.