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Epidemiology of Inflation Expectations and Internet Search- An Analysis for India

Author

Listed:
  • Jha, Saakshi
  • Sahu, Sohini
  • Chattopadhyay, Siddhartha
Abstract
This paper investigates how inflation expectations of individuals are formed in India. We investigate if the news on inflation plays a role in the formation of inflation expectations following the epidemiology-based work by Carroll (2003). The standard literature on this topic considers news coverage by the print and audio-visual media as the sources of formation of inflation expectations. Instead, we consider the Internet as a potential common source of information based on which agents form their expectations about future inflation. Based on data extracted from Google Trends, our results indicate that during the period 2006 to 2018, the Internet has indeed been a common source of information based on which agents have formed their expectations about future inflation, and the Internet search sentiment has had some impact on inflation expectations. Additionally, based on the inflation expectations series derived from the Google Trends data, we find that there is presence of “information stickiness” in the system since only a small fraction of the population update their inflation expectations each period.

Suggested Citation

  • Jha, Saakshi & Sahu, Sohini & Chattopadhyay, Siddhartha, 2019. "Epidemiology of Inflation Expectations and Internet Search- An Analysis for India," MPRA Paper 92666, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:92666
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    References listed on IDEAS

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    1. Theologos Dergiades & Costas Milas & Theodore Panagiotidis, 2015. "Tweets, Google trends, and sovereign spreads in the GIIPS," Oxford Economic Papers, Oxford University Press, vol. 67(2), pages 406-432.
    2. N. Gregory Mankiw & Ricardo Reis, 2002. "Sticky Information versus Sticky Prices: A Proposal to Replace the New Keynesian Phillips Curve," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(4), pages 1295-1328.
    3. Lei, Chengyao & Lu, Zhe & Zhang, Chengsi, 2015. "News on inflation and the epidemiology of inflation expectations in China," Economic Systems, Elsevier, vol. 39(4), pages 644-653.
    4. Damjan Pfajfar & Emiliano Santoro, 2013. "News on Inflation and the Epidemiology of Inflation Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(6), pages 1045-1067, September.
    5. Christopher D. Carroll, 2003. "Macroeconomic Expectations of Households and Professional Forecasters," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(1), pages 269-298.
    6. Michael J. Lamla & Thomas Maag, 2012. "The Role of Media for Inflation Forecast Disagreement of Households and Professional Forecasters," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(7), pages 1325-1350, October.
    7. Ehrmann, M. & Pfajfar, D. & Santoro, E., 2014. "Consumer Attitudes and the Epidemiology of Inflation Expectations," Discussion Paper 2014-029, Tilburg University, Center for Economic Research.
    8. 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.
    9. Afkhami, Mohamad & Cormack, Lindsey & Ghoddusi, Hamed, 2017. "Google search keywords that best predict energy price volatility," Energy Economics, Elsevier, vol. 67(C), pages 17-27.
    10. Ehrmann, M. & Pfajfar, D. & Santoro, E., 2014. "Consumer Attitudes and the Epidemiology of Inflation Expectations," Discussion Paper 2014-029, Tilburg University, Center for Economic Research.
    11. Naccarato, Alessia & Falorsi, Stefano & Loriga, Silvia & Pierini, Andrea, 2018. "Combining official and Google Trends data to forecast the Italian youth unemployment rate," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 114-122.
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    Cited by:

    1. Kučerová, Zuzana & Pakši, Daniel & Koňařík, Vojtěch, 2024. "Macroeconomic fundamentals and attention: What drives european consumers’ inflation expectations?," Economic Systems, Elsevier, vol. 48(1).
    2. Siddhartha Chattopadhyay, 2021. "The Neo-Fisherianism to Escape Zero Lower Bound," International Symposia in Economic Theory and Econometrics, in: Environmental, Social, and Governance Perspectives on Economic Development in Asia, volume 29, pages 1-19, Emerald Group Publishing Limited.
    3. Chee-Hong Law & Kim Huat Goh, 2024. "A systematic literature review of the implications of media on inflation expectations," International Economics and Economic Policy, Springer, vol. 21(2), pages 311-340, May.
    4. Goyal, Ashima & Parab, Prashant, 2021. "What influences aggregate inflation expectations of households in India?," Journal of Asian Economics, Elsevier, vol. 72(C).

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    More about this item

    Keywords

    Inflation expectations; Epidemiology; Internet search; Google Trends; India.;
    All these keywords.

    JEL classification:

    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

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