Portuguese Economic Journal

, Volume 16, Issue 3, pp 169–187 | Cite as

Is time-variant information stickiness state-dependent?

  • Yingying XuEmail author
  • Zhixin Liu
  • Zichao Jia
  • Chi-Wei Su
Original Article


This paper estimates information stickiness with regard to inflation expectations in the United States and the Eurozone for the 1981/06–2015/12 and 1998/Q4–2015/Q2 periods, respectively, and further investigates whether such information stickiness is state-dependent. Based on a bootstrap sub-sample rolling-window estimation, we find that information stickiness varies over time, which contradicts the strict time dependency implied under sticky-information theory. We provide evidence that information stickiness depends on inflation volatility, which indicates that information stickiness is state-dependent and that it has a time trend. Using a threshold model, we estimate structural changes in the state-dependence and time-trend of information stickiness. The results show that information stickiness has been more dependent on inflation volatility and has had a higher time-trend in both regions following the 2008 financial crisis.


Information stickiness Inflation expectations State dependence 

JEL classification

E31 E52 E58 D84 



This research is supported by the National Social Science Foundation (Grant number: 15BJY155) and the Ministry of Education’s Humanities and Social Science Research Project (Grant number: 15YJC630042).


  1. Andrade P, Le Bihan H (2013) Inattentive professional forecasters. J Monet Econ 60(8):967–982CrossRefGoogle Scholar
  2. Balcilar M, Ozdemir ZA, Arslanturk Y (2010) Economic growth and energy consumption causal nexus viewed through a bootstrap rolling window. Energy Econ 32(6):1398–1410CrossRefGoogle Scholar
  3. Blinder AS, Krueger AB (2004) What does the public know about economic policy, and how does it know it? National Bureau of Economic Research Working paper, no. w10787Google Scholar
  4. Bloom N, Garicano L, Sadun R, Van Reenen J (2014) The distinct effects of information technology and communication technology on firm organization. Manag Sci 60(12):2859–2885CrossRefGoogle Scholar
  5. Bonomo M, Carvalho C (2004) Endogenous time-dependent rules and inflation inertia. J Money Credit Bank 36(6):1015–1041CrossRefGoogle Scholar
  6. Bowdler C, Malik A (2005) Openness and inflation volatility Panel data evidence. University of Oxford Working PaperGoogle Scholar
  7. Branch WA, Carlson J, Evans GW, McGough B (2009) Monetary policy, endogenous inattention and the volatility trade-off. Econ J 119(534):123–157CrossRefGoogle Scholar
  8. Caner M, Hansen BE (2004) Instrumental variable estimation of a threshold model. Economet Theor 20(5):813–843CrossRefGoogle Scholar
  9. Carrillo JA (2010) How well does sticky information explain inflation and output inertia? METEOR Research Memoranda, no. 018Google Scholar
  10. Carroll CD (2003) Macroeconomic expectations of households and professional forecasters. Q J Econ 118(1):269–298CrossRefGoogle Scholar
  11. Chen P (2008b) Equilibrium illusion, economic complexity and evolutionary foundation in economic analysis. Evol Inst Econ Rev 5(1):81–127CrossRefGoogle Scholar
  12. Coibion O (2010) Testing the sticky information Phillips curve. Rev Econ Stat 92(1):87–101CrossRefGoogle Scholar
  13. Coibion O, Gorodnichenko Y (2008) Strategic interaction among heterogeneous price-setters in an estimated DSGE model. National Bureau of Economic Research Working Paper, no. 14323Google Scholar
  14. Coibion O, Gorodnichenko Y (2015) Information rigidity and the expectations formation process a simple framework and new facts. Am Econ Rev 105(8):2644–2678CrossRefGoogle Scholar
  15. Dennis R, Söderström U (2006) How important is precommitment for monetary policy? J Money Credit Bank 38(4):847–872CrossRefGoogle Scholar
  16. Doepke J, Dovern J, Fritsche U, Slacalek J (2008) The dynamics of European inflation expectations. BE J Macroecon 8 Article 12Google Scholar
  17. Dovern J (2013) When are GDP forecasts updated? Evidence from a large international panel. Econ Lett 120(3):521–524CrossRefGoogle Scholar
  18. Dovern J, Fritsche U, Loungani P, Tamirisa NT (2015) Information rigidities comparing average and individual forecasts for a large international panel. Int J Forecast 31(1):144–154CrossRefGoogle Scholar
  19. Dräger L, Lamla MJ (2015) Disagreement à la Taylor evidence from survey microdata. Hamburg University, Department Wirtschaft und Politik, Macroeconomics and Finance Series, no. 201503Google Scholar
  20. Ernst H (1997) The use of patent data for technological forecasting the diffusion of CNC-technology in the machine tool industry. Small Bus Econ 9(4):361–381CrossRefGoogle Scholar
  21. Gomes O (2012) Transitional dynamics in sticky-information general equilibrium models. Comput Econ 39(4):387–407CrossRefGoogle Scholar
  22. Granato J, Lo M, Wong MS (2006) Testing monetary policy intentions in open economies. South Econ J 72(3):730–746CrossRefGoogle Scholar
  23. Gurkaynak RS, Levin A, Swanson E (2010) Does inflation targeting anchor long-run inflation expectations? Evidence from the US, UK, and Sweden. J Eur Econ Assoc 8(6):1208–1242Google Scholar
  24. Hansen BE (1999) Threshold effects in non-dynamic panels estimation, testing, and inference. J Econ 93(2):345–368CrossRefGoogle Scholar
  25. Khan H, Zhu Z (2002) Estimates of the sticky information Phillips curve for the United States, Canada, and the United Kingdom. Bank of Canada Working Paper, no. 19Google Scholar
  26. Kiley MT (2007) A quantitative comparison of sticky-price and sticky-information models of price setting. J Money Credit Bank 39(s1):101–125CrossRefGoogle Scholar
  27. Kim JII, Lee J (2013) How important are inflation expectations in driving Asian inflation? Bank for International Settlements Papers, no. 70:41–63Google Scholar
  28. Korenok O (2008) Empirical comparison of sticky price and sticky information models. J Macroecon 30(3):906–927CrossRefGoogle Scholar
  29. Korenok O, Swanson NR (2007) How sticky is sticky enough? A distributional and impulse response analysis of New Keynesian DSGE models. J Money Credit Bank 39(6):1481–1508CrossRefGoogle Scholar
  30. Kretschmer T (2012) Information and communication technologies and productivity growth: A survey of the literature. OECD Digital Economy Papers, no. 195Google Scholar
  31. Lamla MJ, Lein SM (2014) The role of media for consumers’ inflation expectation formation. J Econ Behav Organ 106:62–77CrossRefGoogle Scholar
  32. Lamla MJ, Lein SM (2015) Information rigidities, inflation perceptions, and the media lessons from the euro cash changeover. Econ Inq 53(1):9–22CrossRefGoogle Scholar
  33. Lamla MJ, Maag T (2012) The role of media for inflation forecast disagreement of households and professional forecasters. J Money Credit Bank 44(7):1325–1350CrossRefGoogle Scholar
  34. Lamla MJ, Sarferaz S (2012) Updating inflation expectations. KOF Swiss Economic Institute, ETH Zurich, KOF Working Paper, no. 12-301Google Scholar
  35. Leff NH (1984) Externalities, information costs, and social benefit-cost analysis for economic development: an example from telecommunications. Econ Dev Cult Chang 32(2):255–276CrossRefGoogle Scholar
  36. Loungani P, Stekler H, Tamirisa N (2013) Information rigidity in growth forecasts Some cross-country evidence. Int J Forecast 29(4):605–621CrossRefGoogle Scholar
  37. Luo Y (2008) Consumption dynamics under information processing constraints. Rev Econ Dyn 11(2):366–385CrossRefGoogle Scholar
  38. Maćkowiak B, Wiederholt M (2009) Optimal sticky prices under rational inattention. Am Econ Rev 99(3):769–803CrossRefGoogle Scholar
  39. Mankiw NG, Reis R (2002) Sticky information versus sticky prices a proposal to replace the New Keynesian Phillips Curve. Q J Econ 117(4):1295–1328CrossRefGoogle Scholar
  40. Mankiw NG, Reis R (2006) Pervasive stickiness (expanded version). National Bureau of Economic Research Working Paper, no. 12024Google Scholar
  41. Mankiw NG, Reis R (2007) Sticky information in general equilibrium. J Eur Econ Assoc 5(23):603–613CrossRefGoogle Scholar
  42. Mankiw NG, Reis R (2010) Imperfect information and aggregate supply. National Bureau of Economic Research Working Paper, no. w15773Google Scholar
  43. Mankiw NG, Reis R, Wolfers J (2003) Disagreement about inflation expectations. Natl Bur Econ Res Macroecon Annu 18:209–270Google Scholar
  44. Norton SW (1992) Transaction costs, telecommunications, and the microeconomics of macroeconomic growth. Econ Dev Cult Chang 41(1):175–196CrossRefGoogle Scholar
  45. Nunes R (2009) On the epidemiological microfoundations of sticky information. Oxf Bull Econ Stat 71(5):643–657CrossRefGoogle Scholar
  46. Pesaran MH, Timmermann A (2005) Small sample properties of forecasts from autoregressive models under structural breaks. J Econ 129(1):183–217CrossRefGoogle Scholar
  47. Proaño CR, Schoder C, Semmler W (2014) Financial stress, sovereign debt and economic activity in industrialized countries evidence from dynamic threshold regressions. J Int Money Financ 45:17–37CrossRefGoogle Scholar
  48. Ravn SH (2014) Asymmetric monetary policy towards the stock market a DSGE approach. J Macroecon 39(A):24–41CrossRefGoogle Scholar
  49. Reid M (2015) Inflation expectations of the inattentive general public. Econ Model 46:157–166CrossRefGoogle Scholar
  50. Reis R (2006) Inattentive producers. Rev Econ Stud 73(3):793–821CrossRefGoogle Scholar
  51. Sandoval-Almazan R, Gil-Garcia JR (2014) Towards cyberactivism 2.0? Understanding the use of social media and other information technologies for political activism and social movements. Gov Inf Q 31(3):365–378CrossRefGoogle Scholar
  52. Santoro E, Petrella I, Pfajfar D, Gaffeo E (2014) Loss aversion and the asymmetric transmission of monetary policy. J Monet Econ 68:19–36CrossRefGoogle Scholar
  53. Sims CA (1998) Stickiness. Carn-Roch Conf Ser Public Policy 49:317–356CrossRefGoogle Scholar
  54. Sims CA (2003) Implications of rational inattention. J Monet Econ 50(3):665–690CrossRefGoogle Scholar
  55. Spence PR, Lachlan KA, Edwards A, Edwards C (2016) Tweeting fast matters, but only if I think about it: information updates on social media. Commun Q 64(1):55–71CrossRefGoogle Scholar
  56. Strömberg D (2004) Radio’s impact on public spending. Q J Econ 119(1):189–221CrossRefGoogle Scholar
  57. Towner TL (2012) Campaigns and elections in a web 2.0 world: uses, effects, and implications for democracy. In: Web 2.0 technologies and democratic governance. Springer New York, pp 185–199Google Scholar
  58. Van der Cruijsen C, Demertzis M (2011) How anchored are inflation expectations in EMU countries? Econ Model 28(1):281–298CrossRefGoogle Scholar
  59. Venkatesh V, Thong JY, Xu X (2012) Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Q 36(1):157–178Google Scholar
  60. Wieland E (2014) Information rigidity and state-dependence of inflation expectations new evidence from the CESifo world economic survey. Ifo Institute for Economic Research at the University of MunichGoogle Scholar
  61. Woodford, M (2002) Imperfect common knowledge and the effects of monetary policy. Knowledge, information, and expectations in modern macroeconomics In: Aghion P. et al. (eds) Honor of Edmund S. Phelps. Princeton University PressGoogle Scholar
  62. Woodford M (2011) Interest and prices foundations of a theory of monetary policy. Princeton University PressGoogle Scholar
  63. Xiao M, Zhou P (2009) The impact of information disclosure of central bank on inflation expectations:a research based on index of disclosure of People’s Bank of China. Financ Theory Pract 30(161):5–11Google Scholar
  64. Zeileis A, Leisch F, Hornik K, Kleiber C (2005) Monitoring structural change in dynamic econometric models. J Appl Econ 20(1):99–121CrossRefGoogle Scholar

Copyright information

© ISEG 2017

Authors and Affiliations

  • Yingying Xu
    • 1
    Email author
  • Zhixin Liu
    • 1
  • Zichao Jia
    • 1
  • Chi-Wei Su
    • 2
  1. 1.Beihang UniversityBeijingChina
  2. 2.Ocean University of ChinaQingdaoChina

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