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Online Salience and Charitable Giving : Evidence from SMS Donations

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Listed:
  • Perroni, Carlo

    (University of Warwick)

  • Scharf, Kimberley

    (University of Birmingham and CEPR)

  • Talavera, Oleksandr

    (University of Birmingham)

  • Vi, Linh

    (University of Birmingham)

Abstract

We explore the link between online attention and charitable donations. Using a unique dataset on phone text donations that includes detailed information on the timing of cash gifts to charities, we link donations to time variation online searches for words that appear in those charities’ mission statements. The results suggest that an increase in the online salience to donors of the activities pursued by different charities affects the number and volume of donations made to those charities and to charities that pursue different goals. We uncover evidence of positive own salience effects and negative cross salience effects on donations.

Suggested Citation

  • Perroni, Carlo & Scharf, Kimberley & Talavera, Oleksandr & Vi, Linh, 2021. "Online Salience and Charitable Giving : Evidence from SMS Donations," The Warwick Economics Research Paper Series (TWERPS) 1325, University of Warwick, Department of Economics.
  • Handle: RePEc:wrk:warwec:1325
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    References listed on IDEAS

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    1. Krieg, Justin & Samek, Anya, 2017. "When charities compete: A laboratory experiment with simultaneous public goods," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 66(C), pages 40-57.
    2. Sarah Smith & Mark Ottoni-Wilhelm & Kimberley Scharf, 2017. "The Donation Response to Natural Disasters," Bristol Economics Discussion Papers 17/688, School of Economics, University of Bristol, UK.
    3. Meer, Jonathan, 2014. "Effects of the price of charitable giving: Evidence from an online crowdfunding platform," Journal of Economic Behavior & Organization, Elsevier, vol. 103(C), pages 113-124.
    4. Fondeur, Y. & Karamé, F., 2013. "Can Google data help predict French youth unemployment?," Economic Modelling, Elsevier, vol. 30(C), pages 117-125.
    5. Scharf, Kimberley & Smith, Sarah, 2016. "Relational altruism and giving in social groups," Journal of Public Economics, Elsevier, vol. 141(C), pages 1-10.
    6. Almunia, Miguel & Guceri, Irem & Lockwood, Ben & Scharf, Kimberley, 2020. "More giving or more givers? The effects of tax incentives on charitable donations in the UK," Journal of Public Economics, Elsevier, vol. 183(C).
    7. Scott R. Baker & Andrey Fradkin, 2017. "The Impact of Unemployment Insurance on Job Search: Evidence from Google Search Data," The Review of Economics and Statistics, MIT Press, vol. 99(5), pages 756-768, December.
    8. D’Amuri, Francesco & Marcucci, Juri, 2017. "The predictive power of Google searches in forecasting US unemployment," International Journal of Forecasting, Elsevier, vol. 33(4), pages 801-816.
    9. Pedro Bordalo & Nicola Gennaioli & Andrei Shleifer, 2013. "Salience and Consumer Choice," Journal of Political Economy, University of Chicago Press, vol. 121(5), pages 803-843.
    10. Dean Karlan & John A. List, 2007. "Does Price Matter in Charitable Giving? Evidence from a Large-Scale Natural Field Experiment," American Economic Review, American Economic Association, vol. 97(5), pages 1774-1793, December.
    11. Thomas Eisensee & David Strömberg, 2007. "News Droughts, News Floods, and U. S. Disaster Relief," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(2), pages 693-728.
    12. Zhi Da & Joseph Engelberg & Pengjie Gao, 2011. "In Search of Attention," Journal of Finance, American Finance Association, vol. 66(5), pages 1461-1499, October.
    13. Kimberley Scharf, 2014. "Private Provision Of Public Goods And Information Diffusion In Social Groups," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 55(4), pages 1019-1042, November.
    14. Lynn Wu & Erik Brynjolfsson, 2015. "The Future of Prediction: How Google Searches Foreshadow Housing Prices and Sales," NBER Chapters, in: Economic Analysis of the Digital Economy, pages 89-118, National Bureau of Economic Research, Inc.
    15. Hyunyoung Choi & Hal Varian, 2012. "Predicting the Present with Google Trends," The Economic Record, The Economic Society of Australia, vol. 88(s1), pages 2-9, June.
    16. Brown, Sarah & Harris, Mark N. & Taylor, Karl, 2012. "Modelling charitable donations to an unexpected natural disaster: Evidence from the U.S. Panel Study of Income Dynamics," Journal of Economic Behavior & Organization, Elsevier, vol. 84(1), pages 97-110.
    17. Olivier Gossner & Jakub Steiner & Colin Stewart, 2021. "Attention Please!," Econometrica, Econometric Society, vol. 89(4), pages 1717-1751, July.
    18. Maryam Dilmaghani, 2019. "Workopolis or The Pirate Bay: what does Google Trends say about the unemployment rate?," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 46(2), pages 422-445, March.
    19. Meer, Jonathan, 2017. "Does fundraising create new giving?," Journal of Public Economics, Elsevier, vol. 145(C), pages 82-93.
    20. Tatyana Deryugina & Benjamin M. Marx, 2021. "Is the Supply of Charitable Donations Fixed? Evidence from Deadly Tornadoes," American Economic Review: Insights, American Economic Association, vol. 3(3), pages 383-398, September.
    21. Klar, Samara & Piston, Spencer, 2015. "The influence of competing organisational appeals on individual donations," Journal of Public Policy, Cambridge University Press, vol. 35(2), pages 171-191, August.
    22. Smith, Geoffrey Peter, 2012. "Google Internet search activity and volatility prediction in the market for foreign currency," Finance Research Letters, Elsevier, vol. 9(2), pages 103-110.
    23. Edwards, James T. & List, John A., 2014. "Toward an understanding of why suggestions work in charitable fundraising: Theory and evidence from a natural field experiment," Journal of Public Economics, Elsevier, vol. 114(C), pages 1-13.
    24. Reinstein David A, 2011. "Does One Charitable Contribution Come at the Expense of Another?," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 11(1), pages 1-54, June.
    25. Emel Filiz-Ozbay & Neslihan Uler, 2019. "Demand for Giving to Multiple Charities: An Experimental Study," Journal of the European Economic Association, European Economic Association, vol. 17(3), pages 725-753.
    26. Vlastakis, Nikolaos & Markellos, Raphael N., 2012. "Information demand and stock market volatility," Journal of Banking & Finance, Elsevier, vol. 36(6), pages 1808-1821.
    27. Susan Rose-Ackerman, 1982. "Charitable Giving and “Excessive†Fundraising," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 97(2), pages 193-212.
    28. Chris Hand & Guy Judge, 2012. "Searching for the picture: forecasting UK cinema admissions using Google Trends data," Applied Economics Letters, Taylor & Francis Journals, vol. 19(11), pages 1051-1055, July.
    29. Cairns, Jason & Slonim, Robert, 2011. "Substitution effects across charitable donations," Economics Letters, Elsevier, vol. 111(2), pages 173-175, May.
    30. Charles T. Clotfelter, 1990. "The Impact of Tax Reform on Charitable Giving: A 1989 Perspective," NBER Working Papers 3273, National Bureau of Economic Research, Inc.
    31. Kimberley Scharf, 2014. "Private Provision Of Public Goods And Information Diffusion In Social Groups," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 55, pages 1019-1042, November.
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    More about this item

    Keywords

    Charitable Donations ; Online Search ; News Shocks JEL Classification: H41 ; D12 ; D64;
    All these keywords.

    JEL classification:

    • H41 - Public Economics - - Publicly Provided Goods - - - Public Goods
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

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