IDEAS home Printed from https://ideas.repec.org/p/zbw/sfb373/200313.html
   My bibliography  Save this paper

Inflation Expectations in the EU: Results from Survey Data

Author

Listed:
  • Nielsen, Hannah

Abstract

Inflation expectations are extracted from the Consumer Survey, which is conducted by the European Commission for the European Union. Using the probability method to quantify the qualitative answers different distribution functions and scaling parameters are assumed to cope with the properties of the data properly. The forecasting ability of respective series is assessed also compared to the balance statistic. Furthermore the time horizon of the survey participants while answering the questionnaire is analyzed, because the empirical results show that it might not coincide with the time horizon implied by the formulation of the question.

Suggested Citation

  • Nielsen, Hannah, 2003. "Inflation Expectations in the EU: Results from Survey Data," SFB 373 Discussion Papers 2003,13, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
  • Handle: RePEc:zbw:sfb373:200313
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/22228/1/dpsfb200313.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Vining, Daniel R, Jr & Elwertowski, Thomas C, 1976. "The Relationship between Relative Prices and the General Price Level," American Economic Review, American Economic Association, vol. 66(4), pages 699-708, September.
    2. Reckwerth, Jürgen, 1997. "Der Zusammenhang zwischen Inflation und Output in Deutschland unter besonderer Berücksichtigung der Inflationserwartungen," Discussion Paper Series 1: Economic Studies 1997,05, Deutsche Bundesbank.
    3. Balcombe, Kelvin, 1996. "The Carlson-Parkin method applied to NZ price expectations using QSBO survey data," Economics Letters, Elsevier, vol. 51(1), pages 51-57, April.
    4. Batchelor, R. A., 1981. "Aggregate expectations under the stable laws," Journal of Econometrics, Elsevier, vol. 16(2), pages 199-210, June.
    5. Praetz, Peter D, 1972. "The Distribution of Share Price Changes," The Journal of Business, University of Chicago Press, vol. 45(1), pages 49-55, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Patricks Ogiji & Tersoo Shimonkabir Shitile & Nuruddeen Usman, 2022. "Estimating asymmetries in monetary policy reaction function: an oil price augmented Taylor type rule for Nigeria under unconventional regime," Economic Change and Restructuring, Springer, vol. 55(3), pages 1655-1672, August.
    2. repec:zbw:bofism:2005_032 is not listed on IDEAS
    3. Johanna Posch & Fabio Rumler, 2015. "Semi‐Structural Forecasting of UK Inflation Based on the Hybrid New Keynesian Phillips Curve," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 34(2), pages 145-162, March.
    4. Konstantins Benkovskis & Daina Paula, 2007. "Inflation Expectations in Latvia: Consumer Survey Based Results," Working Papers 2007/01, Latvijas Banka.
    5. Menz, Jan-Oliver & Poppitz, Philipp, 2013. "Households' disagreement on inflation expectations and socioeconomic media exposure in Germany," Discussion Papers 27/2013, Deutsche Bundesbank.
    6. Snezana Eminidou & Marios Zachariadis & Elena Andreou, 2020. "Inflation Expectations and Monetary Policy Surprises," Scandinavian Journal of Economics, Wiley Blackwell, vol. 122(1), pages 306-339, January.
    7. Aleksandra Hałka & Tomasz Łyziak, 2013. "How to defi ne the Consumer Perceived Price Index? The case of Poland," NBP Working Papers 160, Narodowy Bank Polski.
    8. Lena Dr䧥r & Jan-Oliver Menz & Ulrich Fritsche, 2014. "Perceived inflation under loss aversion," Applied Economics, Taylor & Francis Journals, vol. 46(3), pages 282-293, January.
    9. Eva M. Köberl & Sarah M. Lein, 2011. "The NIRCU and the Phillips curve: an approach based on micro data," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 44(2), pages 673-694, May.
    10. Tomasz Lyziak, 2010. "Measurement of perceived and expected inflation on the basis of consumer survey data," IFC Working Papers 5, Bank for International Settlements.
    11. Petar Sorić, 2013. "Assessing the sensitivity of consumption expenditure to inflation sentiment in post-communist economies," Post-Communist Economies, Taylor & Francis Journals, vol. 25(4), pages 529-538, December.
    12. Ece Oral, 2016. "Measuring Consumer Inflation Expectations in Turkey," Eastern European Business and Economics Journal, Eastern European Business and Economics Studies Centre, vol. 2(1), pages 43-74.
    13. Konstantins Benkovskis, 2008. "The Role of Inflation Expectations in the New EU Member States: Consumer Survey Based Results," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 58(07-08), pages 298-317, Oktober.
    14. Eminidou, Snezana & Geiger, Martin & Zachariadis, Marios, 2023. "Public debt and state-dependent effects of fiscal policy in the euro area," Journal of International Money and Finance, Elsevier, vol. 130(C).
    15. Ece Oral, 2013. "Consumer Inflation Expectations in Turkey," IFC Working Papers 10, Bank for International Settlements.
    16. Paloviita, Maritta, 2005. "The role of expectations in euro area inflation dynamics," Scientific Monographs, Bank of Finland, number 2005_032.
    17. Mestre, Ricardo, 2007. "Are survey-based inflation expections in the euro area informative?," Working Paper Series 721, European Central Bank.
    18. Lena Vogel, 2008. "The Relationship between the Hybrid New Keynesian Phillips Curve and the NAIRU over Time," Macroeconomics and Finance Series 200803, University of Hamburg, Department of Socioeconomics.
    19. Yuichiro Ito & Sohei Kaihatsu, 2016. "Effects of Inflation and Wage Expectations on Consumer Spending: Evidence from Micro Data," Bank of Japan Working Paper Series 16-E-7, Bank of Japan.
    20. Aleksandra Halka & Tomasz Lyziak, 2013. "Index of perceived in ation in Poland," EcoMod2013 5595, EcoMod.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Oscar Claveria & Enric Monte & Salvador Torra, 2017. "A new approach for the quantification of qualitative measures of economic expectations," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(6), pages 2685-2706, November.
    2. Laurence Ball & N. Gregory Mankiw, 1995. "Relative-Price Changes as Aggregate Supply Shocks," The Quarterly Journal of Economics, Oxford University Press, vol. 110(1), pages 161-193.
    3. Jan Marc Berk, 1999. "Measuring inflation expectations: a survey data approach," Applied Economics, Taylor & Francis Journals, vol. 31(11), pages 1467-1480.
    4. Constantina Kottaridi & Mendez-Carbajo Diego & D. Thomakos Dimitrios, 2009. "Inflation Dynamics and the Cross-Sectional Distribution of Prices in the E.U. Periphery," Springer Books, in: Takashi Kamihigashi & Laixun Zhao (ed.), International Trade and Economic Dynamics, pages 449-475, Springer.
    5. Oscar Claveria, 2021. "Forecasting with Business and Consumer Survey Data," Forecasting, MDPI, vol. 3(1), pages 1-22, February.
    6. Olivier Biau & Hélène Erkel-Rousse & Nicolas Ferrari, 2006. "Réponses individuelles aux enquêtes de conjoncture et prévision de la production manufacturière," Économie et Statistique, Programme National Persée, vol. 395(1), pages 91-116.
    7. Oscar Claveria & Enric Monte & Salvador Torra, 2017. "Let the data do the talking: Empirical modelling of survey-based expectations by means of genetic programming," IREA Working Papers 201711, University of Barcelona, Research Institute of Applied Economics, revised May 2017.
    8. Mitchell, James, 2002. "The use of non-normal distributions in quantifying qualitative survey data on expectations," Economics Letters, Elsevier, vol. 76(1), pages 101-107, June.
    9. Oscar Claveria & Enric Monte & Salvador Torra, 2019. "Empirical modelling of survey-based expectations for the design of economic indicators in five European regions," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 46(2), pages 205-227, May.
    10. Francisco Dias & Cláudia Duarte & António Rua, 2010. "Inflation expectations in the euro area: are consumers rational?," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 146(3), pages 591-607, September.
    11. Enrico D’Elia, 2005. "Using the results of qualitative surveys in quantitative analysis," ISAE Working Papers 56, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
    12. repec:rim:rimwps:43-07 is not listed on IDEAS
    13. Cho, Guedae & Kim, MinKyoung & Koo, Won W., 2003. "Relative Agricultural Price Changes In Different Time Horizons," 2003 Annual meeting, July 27-30, Montreal, Canada 22249, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    14. Jensen, Mark J. & Maheu, John M., 2010. "Bayesian semiparametric stochastic volatility modeling," Journal of Econometrics, Elsevier, vol. 157(2), pages 306-316, August.
    15. G. D. Gettinby & C. D. Sinclair & D. M. Power & R. A. Brown, 2004. "An Analysis of the Distribution of Extreme Share Returns in the UK from 1975 to 2000," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 31(5‐6), pages 607-646, June.
    16. Yeap, Claudia & Kwok, Simon S. & Choy, S. T. Boris, 2016. "A Flexible Generalised Hyperbolic Option Pricing Model and its Special Cases," Working Papers 2016-14, University of Sydney, School of Economics.
    17. Abdelraouf, Nadine & Noureldin, Diaa, 2022. "The impact of the exchange rate regime on the dispersion of the price-change distribution: Evidence from a large panel of countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 76(C).
    18. Jessie Handbury & Tsutomu Watanabe & David E. Weinstein, 2013. "How Much Do Official Price Indexes Tell Us about Inflation?," NBER Working Papers 19504, National Bureau of Economic Research, Inc.
    19. Ashraf, Quamrul & Gershman, Boris & Howitt, Peter, 2016. "How Inflation Affects Macroeconomic Performance: An Agent-Based Computational Investigation," Macroeconomic Dynamics, Cambridge University Press, vol. 20(2), pages 558-581, March.
    20. K. Balcombe & C. J. McDermott, 2003. "Testing for asymmetric price stickiness using NZ business opinion data: a bootstrap approach," Applied Economics Letters, Taylor & Francis Journals, vol. 10(15), pages 955-958.
    21. José Santiago Fajardo Barbachan & Aquiles Rocha de Farias & José Renato Haas Ornelas, 2008. "A Goodness-of-Fit Test with Focus on Conditional Value at Risk," Brazilian Review of Finance, Brazilian Society of Finance, vol. 6(2), pages 139-155.

    More about this item

    Keywords

    Inflation expectations; survey data; quantification methods;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:sfb373:200313. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/sfhubde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.