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Big Data and Happiness

Stephanie Rossouw and Talita Greyling ()

No 634, GLO Discussion Paper Series from Global Labor Organization (GLO)

Abstract: The pursuit of happiness. What does that mean? Perhaps a more prominent question to ask is, 'how does one know whether people have succeeded in their pursuit'? Survey data, thus far, has served us well in determining where people see themselves on their journey. However, in an everchanging world, one needs high-frequency data instead of data released with significant time-lags. High-frequency data, which stems from Big Data, allows policymakers access to virtually real-time information that can assist in effective decision-making to increase the quality of life for all. Additionally, Big Data collected from, for example, social media platforms give researchers unprecedented insight into human behaviour, allowing significant future predictive powers.

Keywords: Happiness; Big Data; Sentiment analysis (search for similar items in EconPapers)
JEL-codes: C88 I31 I39 J18 (search for similar items in EconPapers)
Date: 2020
New Economics Papers: this item is included in nep-big, nep-hap, nep-ltv and nep-pay
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3) Track citations by RSS feed

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Persistent link: https://EconPapers.repec.org/RePEc:zbw:glodps:634

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