Historical Analysis of National Subjective Wellbeing Using Millions of Digitized Books
Eugenio Proto (),
Daniel Sgroi and
Chanuki Illushka Seresinhe
No 5906, CESifo Working Paper Series from CESifo Group Munich
In addition to improving quality of life, higher subjective wellbeing leads to fewer health problems, higher productivity, and better incomes. For these reasons subjective wellbeing has become a key focal issue among scientific researchers and governments. Yet no scientific investigator knows how happy humans were in previous centuries. Here we show that a new method based on quantitative analysis of digitized text from millions of books published over the past 200 years captures reliable trends in historical subjective wellbeing across four nations. This method uses psychological valence norms for thousands of words to compute the relative proportion of positive and negative language, indicating relative happiness during national and international wars, financial crises, and in comparison to historical trends in longevity and GDP.We validate our method using Eurobarometer survey data from the 1970s onwards and in comparison with economic, medical, and political events since 1820 and also use a set of words with stable historical meanings to support our findings. Finally we show that our results are robust to the use of diverse corpora (including text derived from newspapers) and different word norms.
Keywords: historical subjective wellbeing; language; big data; Google Books; GDP; conflict; Easterlin paradox (search for similar items in EconPapers)
JEL-codes: N30 N40 O10 D60 (search for similar items in EconPapers)
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Working Paper: Historical Analysis of National Subjective Wellbeing using Millions of Digitized Books (2019)
Working Paper: Historical Analysis of National Subjective Wellbeing using millions of Digitized Books (2019)
Working Paper: Historical Analysis of National Subjective Wellbeing using Millions of Digitized Books (2015)
Working Paper: Historical Analysis of National Subjective Wellbeing Using Millions of Digitized Books (2015)
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Persistent link: https://EconPapers.repec.org/RePEc:ces:ceswps:_5906
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