Big Data and Happiness
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- Thomas T. Hills & Eugenio Proto & Daniel Sgroi & Chanuki Illushka Seresinhe, 2019.
"Historical analysis of national subjective wellbeing using millions of digitized books,"
Nature Human Behaviour, Nature, vol. 3(12), pages 1271-1275, December.
- Hills, Thomas & Proto, Eugenio & Sgroi, Daniel, 2015. "Historical Analysis of National Subjective Wellbeing Using Millions of Digitized Books," IZA Discussion Papers 9195, Institute of Labor Economics (IZA).
- Hills, Thomas & , & Sgroi, Daniel & Illushka Seresinhe, Chanuki, 2019. "Historical Analysis of National Subjective Wellbeing using Millions of Digitized Books," CEPR Discussion Papers 13636, C.E.P.R. Discussion Papers.
- Thomas Hills & Eugenio Proto & Daniel Sgroi & Chanuki Illushka Seresinhe, 2016. "Historical Analysis of National Subjective Wellbeing Using Millions of Digitized Books," CESifo Working Paper Series 5906, CESifo.
- Hills, Thomas & Proto, Eugenio & Sgroi, Daniel, 2019. "Historical Analysis of National Subjective Wellbeing using millions of Digitized Books," The Warwick Economics Research Paper Series (TWERPS) 1186, University of Warwick, Department of Economics.
- Hills, Thomas & Proto, Eugenio & Sgroi, Daniel & Seresinhe, Chanuki Illushka, 2015. "Historical Analysis of National Subjective Wellbeing using Millions of Digitized Books," CAGE Online Working Paper Series 236, Competitive Advantage in the Global Economy (CAGE).
- Iacus Stefano M. & Salini Silvia & Siletti Elena & Porro Giuseppe, 2020.
"Controlling for Selection Bias in Social Media Indicators through Official Statistics: a Proposal,"
Journal of Official Statistics, Sciendo, vol. 36(2), pages 315-338, June.
- Iacus Stefano M. & Porro Giuseppe & Salini Silvia & Siletti Elena, 2020. "Controlling for Selection Bias in Social Media Indicators through Official Statistics: a Proposal," Journal of Official Statistics, Sciendo, vol. 36(2), pages 315-338, June.
- Simon Kuznets, 1934.
"National Income, 1929-1932,"
NBER Books,
National Bureau of Economic Research, Inc, number kuzn34-1.
- Simon Kuznets, 1934. "National Income, 1929-1932," NBER Chapters, in: National Income, 1929-1932, pages 1-12, National Bureau of Economic Research, Inc.
- Richardson, Adam & van Florenstein Mulder, Thomas & Vehbi, Tuğrul, 2021.
"Nowcasting GDP using machine-learning algorithms: A real-time assessment,"
International Journal of Forecasting, Elsevier, vol. 37(2), pages 941-948.
- Adam Richardson & Thomas van Florenstein Mulder & Tugrul Vehbi, 2019. "Nowcasting New Zealand GDP using machine learning algorithms," IFC Bulletins chapters, in: Bank for International Settlements (ed.), The use of big data analytics and artificial intelligence in central banking, volume 50, Bank for International Settlements.
- Adam Richardson & Thomas van Florenstein Mulder & Tugrul Vehbi, 2018. "Nowcasting New Zealand GDP using machine learning algorithms," CAMA Working Papers 2018-47, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Renault, Thomas, 2017.
"Intraday online investor sentiment and return patterns in the U.S. stock market,"
Journal of Banking & Finance, Elsevier, vol. 84(C), pages 25-40.
- Thomas Renault, 2017. "Intraday online investor sentiment and return patterns in the U.S. stock market," Post-Print hal-03205113, HAL.
- Broadstock, David C. & Zhang, Dayong, 2019. "Social-media and intraday stock returns: The pricing power of sentiment," Finance Research Letters, Elsevier, vol. 30(C), pages 116-123.
- Yann Algan & Elizabeth Beasley & Florian Guyot & Kazuhito Higad & Fabrice Murtin & Claudia Senik, 2015.
"Big Data Measures of Well-Being: Evidence from a Google Well-Being Index in the US,"
PSE Working Papers
hal-03429943, HAL.
- Yann Algan & Elizabeth Beasley & Florian Guyot & Kazuhito Higad & Fabrice Murtin & Claudia Senik, 2015. "Big Data Measures of Well-Being: Evidence from a Google Well-Being Index in the US," SciencePo Working papers Main hal-03429943, HAL.
- Yann Algan & Elizabeth Beasley & Florian Guyot & Kazuhito Higad & Fabrice Murtin & Claudia Senik, 2015. "Big Data Measures of Well-Being: Evidence from a Google Well-Being Index in the US," Working Papers hal-03429943, HAL.
- repec:spo:wpmain:info:hdl:2441/5k53daedc2827oa91tfpuscvbn is not listed on IDEAS
- Rajagopal, 2014.
"The Human Factors,"
Palgrave Macmillan Books, in: Architecting Enterprise, chapter 9, pages 225-249,
Palgrave Macmillan.
- Rajagopal, 2013. "The Human Factors," Palgrave Macmillan Books, in: Managing Social Media and Consumerism, chapter 9, pages 173-194, Palgrave Macmillan.
- Ed Diener & Eunkook Suh, 1997. "Measuring Quality Of Life: Economic, Social, And Subjective Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 40(1), pages 189-216, January.
- Peter Dodds & Christopher Danforth, 2010. "Measuring the Happiness of Large-Scale Written Expression: Songs, Blogs, and Presidents," Journal of Happiness Studies, Springer, vol. 11(4), pages 441-456, August.
- Steyn, Dimitri H. W. & Greyling, Talita & Rossouw, Stephanie & Mwamba, John M., 2020. "Sentiment, emotions and stock market predictability in developed and emerging markets," GLO Discussion Paper Series 502, Global Labor Organization (GLO).
- Amitava Krishna Dutt & Benjamin Radcliff (ed.), 2009. "Happiness, Economics and Politics," Books, Edward Elgar Publishing, number 13280.
- repec:hal:spmain:info:hdl:2441/5k53daedc2827oa91tfpuscvbn is not listed on IDEAS
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Cited by:
- Indy Wijngaards & Owen C. King & Martijn J. Burger & Job Exel, 2022. "Worker Well-Being: What it Is, and how it Should Be Measured," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 17(2), pages 795-832, April.
- Tiziana CARPI & Airo HINO & Stefano Maria IACUS & Giuseppe PORRO, 2022.
"A Japanese Subjective Well-Being Indicator Based on Twitter Data [‘Collective Smile: Measuring Societal Happiness from Geolocated Images’],"
Social Science Japan Journal, University of Tokyo and Oxford University Press, vol. 25(2), pages 273-296.
- Tiziana Carpi & Airo Hino & Stefano Maria Iacus & Giuseppe Porro, 2020. "On a Japanese Subjective Well-Being Indicator Based on Twitter data," Papers 2012.14372, arXiv.org.
- Tiziana Carpi & Airo Hino & Stefano Maria Iacus & Giuseppe Porro, 2021. "Twitter Subjective Well-Being Indicator During COVID-19 Pandemic: A Cross-Country Comparative Study," Papers 2101.07695, arXiv.org.
- Rossouw, Stephanie & Greyling, Talita & Adhikari, Tamanna, 2021. "New Zealand's happiness and COVID-19: a Markov Switching Dynamic Regression Model," GLO Discussion Paper Series 573 [rev.], Global Labor Organization (GLO).
- Philip S. Morrison & Stephanié Rossouw & Talita Greyling, 2022. "The impact of exogenous shocks on national wellbeing. New Zealanders’ reaction to COVID-19," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 17(3), pages 1787-1812, June.
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More about this item
Keywords
Happiness; Big Data; Sentiment analysis;All these keywords.
JEL classification:
- C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
- I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
- I39 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Other
- J18 - Labor and Demographic Economics - - Demographic Economics - - - Public Policy
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2020-09-28 (Big Data)
- NEP-HAP-2020-09-28 (Economics of Happiness)
- NEP-LTV-2020-09-28 (Unemployment, Inequality and Poverty)
- NEP-PAY-2020-09-28 (Payment Systems and Financial Technology)
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