sources: 15709

This table contains all the sources for our datasets. The description column contains JSON encoded as text that contains useful additional fields like a longer descriptive text "additionalInfo".

Data license: CC-BY

This data as json

id name description createdAt updatedAt datasetId additionalInfo link dataPublishedBy
15709 Algan, Beasley, Guyot and Murtin (2014) 
{
    "additionalInfo": "This paper collects web searches related to well-being by using Google Trends, a tool provided freely by Google that enables to study the evolution of the salience of keywords across space and over time. For a given keyword, Google Trends gives the evolution of the number of requests that contained that keyword for each week since 2004, at a detailed geographical level (from a city or a region to the whole world). Here, this tool tracks all the queries related to emotional, physiological and physical pain across and within US states and cities. \t\t\t\t\t\t\t\t\t",
    "dataPublishedBy": "Yann Algan, Elizabeth Beasley, Florian Guyot, and Fabrice Murtin (2014) \u2018Big Data Measures of Human Well-Being: Evidence from a Google Stress Index on US States\u2019. Sciences Po Working Paper"
}
 2018-09-27 11:01:12 2018-09-27 11:01:12 3052 This paper collects web searches related to well-being by using Google Trends, a tool provided freely by Google that enables to study the evolution of the salience of keywords across space and over time. For a given keyword, Google Trends gives the evolution of the number of requests that contained that keyword for each week since 2004, at a detailed geographical level (from a city or a region to the whole world). Here, this tool tracks all the queries related to emotional, physiological and physical pain across and within US states and cities.   Yann Algan, Elizabeth Beasley, Florian Guyot, and Fabrice Murtin (2014) ‘Big Data Measures of Human Well-Being: Evidence from a Google Stress Index on US States’. Sciences Po Working Paper

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