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News on Inflation and the Epidemiology of Inflation Expectations

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Listed author(s):
  • Pfajfar, D.

    (Tilburg University, Center For Economic Research)

  • Santoro, E.

Abstract

Abstract: This paper examines the nexus between news coverage on inflation and households' inflation expectations. In doing so, we test the epidemiological foundations of the sticky information model (Carroll, 2003, 2006). We use both aggregate and household-level data from the Survey Research Center at the University of Michigan. We highlight a fundamental disconnection between news on inflation, consumers' frequency of expectation updating and the accuracy of their expectations. Our evidence provides at best weak support to the epidemiological framework, as most of the consumers who update their expectations do not revise them towards professional forecasters' mean forecast.

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File URL: https://pure.uvt.nl/portal/files/1434404/2012-048.pdf
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Paper provided by Tilburg University, Center for Economic Research in its series Discussion Paper with number 2012-048.

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Date of creation: 2012
Handle: RePEc:tiu:tiucen:515ee09e-b946-439f-afff-d348a491b752
Contact details of provider: Web page: http://center.uvt.nl

Keywords: Inflation; Survey Expectations; News; Information Stickiness;

Other versions of this item:

Find related papers by JEL classification:
  • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
  • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
  • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

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  1. Mark Doms & Norman J. Morin, 2004. "Consumer sentiment, the economy, and the news media," Finance and Economics Discussion Series 2004-51, Board of Governors of the Federal Reserve System (U.S.).
  2. Ricardo Nunes, 2009. "On the Epidemiological Microfoundations of Sticky Information," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(5), pages 643-657, October.
  3. Lanne, Markku & Luoma, Arto & Luoto, Jani, 2009. "A naïve sticky information model of households' inflation expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 33(6), pages 1332-1344, June.
  4. Author-Name: Alan S. Blinder & Alan B. Krueger, 2004. "What Does the Public Know about Economic Policy, and How Does It Know It?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 35(1), pages 327-397.
  5. 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, Oxford University Press, vol. 117(4), pages 1295-1328.
  6. repec:pri:cepsud:99blinderkrueger is not listed on IDEAS
  7. N. Gregory Mankiw & Ricardo Reis, 2001. "Sticky Information: A Model of Monetary Nonneutrality and Structural Slumps," Harvard Institute of Economic Research Working Papers 1941, Harvard - Institute of Economic Research.
  8. Kahneman, Daniel & Tversky, Amos, 1979. "Prospect Theory: An Analysis of Decision under Risk," Econometrica, Econometric Society, vol. 47(2), pages 263-291, March.
  9. Souleles, Nicholas S, 2004. "Expectations, Heterogeneous Forecast Errors, and Consumption: Micro Evidence from the Michigan Consumer Sentiment Surveys," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 36(1), pages 39-72, February.
  10. Alan Blinder & Alan Krueger, 2004. "What Does the Public Know about Economic Policy, and How Does It Know It?," Working Papers 875, Princeton University, Department of Economics, Industrial Relations Section..
  11. Christopher D. Carroll, 2003. "Macroeconomic Expectations of Households and Professional Forecasters," The Quarterly Journal of Economics, Oxford University Press, vol. 118(1), pages 269-298.
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Cited by:

  1. David-Jan Jansen & Matthias Neuenkirch, 2017. "News Consumption, Political Preferences, and Accurate Views on Inflation," Research Papers in Economics 2017-03, University of Trier, Department of Economics.
  2. Lena Dräger & Michael Lamla, 2013. "Imperfect Information and Inflation Expectations: Evidence from Microdata," Macroeconomics and Finance Series 201301, Hamburg University, Department Wirtschaft und Politik.
  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. repec:prg:jnlpep:v:2017:y:2017:i:3:id:614:p:286-299 is not listed on IDEAS
  5. Menz, Jan-Oliver & Poppitz, Philipp, 2013. "Households' disagreement on inflation expectations and socioeconomic media exposure in Germany," Discussion Papers 27/2013, Deutsche Bundesbank, Research Centre.
  6. Ueno, Yuko, 2014. "Updating Behavior of Inflation Expectations: Evidence from Japanese Household Panel Data," CIS Discussion paper series 617, Center for Intergenerational Studies, Institute of Economic Research, Hitotsubashi University.
  7. Pfajfar, Damjan & Žakelj, Blaž, 2014. "Experimental evidence on inflation expectation formation," Journal of Economic Dynamics and Control, Elsevier, vol. 44(C), pages 147-168.
  8. Lena Draeger & Michael J. Lamla, 2013. "Imperfect information and inflation expectations," KOF Working papers 13-329, KOF Swiss Economic Institute, ETH Zurich.
  9. Michael J. Lamla & Lena Draeger, 2013. "Anchoring of Consumers' Inflation Expectations," KOF Working papers 13-339, KOF Swiss Economic Institute, ETH Zurich.
  10. Dräger, Lena & Lamla, Michael J., 2012. "Updating inflation expectations: Evidence from micro-data," Economics Letters, Elsevier, vol. 117(3), pages 807-810.
  11. Lena Dräger & Michael J. Lamla, 2013. "Anchoring of Consumers’ Inflation Expectations: Evidence from Microdata," Macroeconomics and Finance Series 201305, Hamburg University, Department Wirtschaft und Politik.
  12. Xu, Yingying & Chang, Hsu-Ling & Lobonţ, Oana-Ramona & Su, Chi-Wei, 2016. "Modeling heterogeneous inflation expectations: empirical evidence from demographic data?," Economic Modelling, Elsevier, vol. 57(C), pages 153-163.

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