IDEAS home Printed from https://ideas.repec.org/p/ems/eureir/11892.html

Measuring weekly consumer confidence

Author

Listed:
  • Segers, R.
  • Franses, Ph.H.B.F.

Abstract

This paper puts forward a data collection method to measure weekly consumer confidence at the individual level. The data thus obtained allow to statistically analyze the dynamic correlation of such a consumer confidence indicator and to draw inference on transition rates, which is not possible for currently available monthly data collected by statistical agencies on the basis of repeated cross-sections. An application of the method to various waves of data for the Netherlands shows its merits. Upon temporal aggregation we also show the resemblance of our data with those collected by Statistics Netherlands.

Suggested Citation

  • Segers, R. & Franses, Ph.H.B.F., 2008. "Measuring weekly consumer confidence," Econometric Institute Research Papers EI 2008-01, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    • Handle: RePEc:ems:eureir:11892
    as

    Download full text from publisher

    File URL: https://repub.eur.nl/pub/11892/ei2008-01.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Erdem, Tulin & Sun, Baohong, 2001. "Testing for Choice Dynamics in Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(2), pages 142-152, April.
    2. Jeffrey M. Wooldridge, 2005. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 39-54, January.
    3. Rene Segers & Philip Hans Franses, 2014. "Panel design effects on response rates and response quality," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 68(1), pages 1-24, February.
    4. Franses,Philip Hans & Paap,Richard, 2010. "Quantitative Models in Marketing Research," Cambridge Books, Cambridge University Press, number 9780521143653.
    Full references (including those not matched with items on IDEAS)

    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. Segers, Rene & Franses, Philip Hans & de Bruijn, Bert, 2017. "A novel approach to measuring consumer confidence," Econometrics and Statistics, Elsevier, vol. 4(C), pages 121-129.
    2. Yan, Han, 2026. "A pathway towards energy transition: Urbanization and clean fuel adoption in Chinese homes," Energy Economics, Elsevier, vol. 154(C).
    3. Demoussis, Michael & Giannakopoulos, Nicholas, 2006. "The dynamics of home computer ownership in Greece," Information Economics and Policy, Elsevier, vol. 18(1), pages 73-86, March.
    4. Zucchelli, E. & Harris, M. & Zhao, X., 2012. "Ill-health and transitions to part-time work and self-employment among older workers," Health, Econometrics and Data Group (HEDG) Working Papers 12/04, HEDG, c/o Department of Economics, University of York.
    5. Regina T. Riphahn & Christoph Wunder, 2016. "State dependence in welfare receipt: transitions before and after a reform," Empirical Economics, Springer, vol. 50(4), pages 1303-1329, June.
    6. Harris, M.N. & Zhao, X. & Zucchelli, E., 2016. "The dynamics of health and labour market transitions at older ages: evidence from a multi-state model," Health, Econometrics and Data Group (HEDG) Working Papers 16/30, HEDG, c/o Department of Economics, University of York.
    7. Janssen, Aljoscha, 2020. "Switching Costs, Brand Premia and Behavioral Pricing in the Pharmaceutical Market," Working Paper Series 1317, Research Institute of Industrial Economics.
    8. Hielke Buddelmeyer & Mark Wooden, 2011. "Transitions Out of Casual Employment: The Australian Experience," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 50(1), pages 109-130, January.
    9. Na Li & Richard J. Vyn & Ken McEwan, 2016. "To Invest or Sell? The Impacts of Ontario’s Greenbelt on Farm Exit and Investment Decisions," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 38(3), pages 389-412.
    10. Partha Deb & Pravin K. Trivedi & David M. Zimmer, 2014. "Cost‐Offsets Of Prescription Drug Expenditures: Data Analysis Via A Copula‐Based Bivariate Dynamic Hurdle Model," Health Economics, John Wiley & Sons, Ltd., vol. 23(10), pages 1242-1259, October.
    11. Risselada, Hans & Verhoef, Peter C. & Bijmolt, Tammo H.A., 2010. "Staying Power of Churn Prediction Models," Journal of Interactive Marketing, Elsevier, vol. 24(3), pages 198-208.
    12. Eleonora Bartoloni, 2013. "Capital structure and innovation: causality and determinants," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 40(1), pages 111-151, February.
    13. Kerstin Bruckmeier & Katrin Hohmeyer & Stefan Schwarz, 2018. "Welfare receipt misreporting in survey data and its consequences for state dependence estimates: new insights from linked administrative and survey data," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 52(1), pages 1-21, December.
    14. Michis Antonis A, 2009. "Regression Analysis of Marketing Time Series: A Wavelet Approach with Some Frequency Domain Insights," Review of Marketing Science, De Gruyter, vol. 7(1), pages 1-43, July.
    15. Wang, Hui & Riedinger, Jeffrey & Jin, Songqing, 2015. "Land documents, tenure security and land rental development: Panel evidence from China," China Economic Review, Elsevier, vol. 36(C), pages 220-235.
    16. Nadia Ayari & Szabolcs Blazsek & Pedro Mendi, 2012. "Renewable energy innovations in Europe: a dynamic panel data approach," Applied Economics, Taylor & Francis Journals, vol. 44(24), pages 3135-3147, August.
    17. Giuseppe Attanasi & Roberta Dessi & Frédéric Moisan & Donald Robertson, 2019. "Public Goods and Future Audiences: Acting as Role Models?," GREDEG Working Papers 2019-27, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    18. Elena Bárcena-Martín & M. Carmen Blanco-Arana & Salvador Pérez-Moreno, 2017. "Dynamics of child poverty in the European countries," Working Papers 437, ECINEQ, Society for the Study of Economic Inequality.
    19. Polo, Yolanda & Sese, F. Javier & Verhoef, Peter C., 2011. "The Effect of Pricing and Advertising on Customer Retention in a Liberalizing Market," Journal of Interactive Marketing, Elsevier, vol. 25(4), pages 201-214.
    20. Evelyn Benvin & Ximena Quintanilla, 2011. "Dime si estás empleado y te diré quién eres. Dime qué tipo de contrato tienes," Working Papers 49, Superintendencia de Pensiones, revised Oct 2011.

    More about this item

    Keywords

    ;
    ;

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • E20 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - General (includes Measurement and Data)

    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:ems:eureir:11892. 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: RePub The email address of this maintainer does not seem to be valid anymore. Please ask RePub to update the entry or send us the correct address (email available below). General contact details of provider: https://edirc.repec.org/data/feeurnl.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.