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Attention economy and higher-order beliefs in voters’ online attention searches

Author

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  • Paritosh Chandra SINHA

    (Rabindra Mahavidyalaya, Champadanga, W.B., India)

Abstract

Presently we are living in an attention economy where individuals’ attention-spectrum is becoming very basic to their social, political and economic decision choices. With the use of Google Trends search volume index (SVI) data, this study explores whether the voters’ online attention searches around the context of the assembly election of West Bengal in 2021 show any higher-order beliefs or not. Methodologically, firstly, it has used the method of moments, then, followed both descriptive and inferential empirical analysis and finally, it has identified the cointegrating presence of voters’ lower-order vis-à-vis higher-order beliefs in their online search-attention for a few selected socio-politico-economic keywords. The study offers a few policy implications of online attention searches at attention management by stakeholders.

Suggested Citation

  • Paritosh Chandra SINHA, 2022. "Attention economy and higher-order beliefs in voters’ online attention searches," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(1(630), S), pages 187-214, Spring.
    • Handle: RePEc:agr:journl:v:1(630):y:2022:i:1(630):p:187-214
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    References listed on IDEAS

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    1. Angeletos, George-Marios & La’O, Jennifer, 2009. "Incomplete information, higher-order beliefs and price inertia," Journal of Monetary Economics, Elsevier, vol. 56(S), pages 19-37.
    2. Stephen Morris & Hyun Song Shin, 2002. "Social Value of Public Information," American Economic Review, American Economic Association, vol. 92(5), pages 1521-1534, December.
    3. Steven J. Bosworth, 2017. "The importance of higher-order beliefs to successful coordination," Experimental Economics, Springer;Economic Science Association, vol. 20(1), pages 237-258, March.
    4. Alexander Dolgin, 2012. "Manifesto of the New Economy," Springer Books, Springer, number 978-3-642-21277-2, December.
    5. Fousseni Chabi-Yo & Eric Ghysels & Eric Renault, 2008. "On Portfolio Separation Theorems with Heterogeneous Beliefs and Attitudes towards Risk," Staff Working Papers 08-16, Bank of Canada.
    Full references (including those not matched with items on IDEAS)

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