IDEAS home Printed from https://ideas.repec.org/a/bla/revinw/v63y2017i4p841-866.html
   My bibliography  Save this article

Consumer Expectations: A Residual Based Approach

Author

Listed:
  • Fahd Rehman
  • Russel J. Cooper

Abstract

This paper presents an economy‐wide consumer expectations indicator that reflects different degrees of optimism or pessimism with respect to consumers’ confidence in their economy. The indicator provides a useful complement to traditional economic indicators that are frequently used to compare countries, such as gross domestic product (GDP) in purchasing power parity (PPP) terms. Our indicator may be seen as representing the influence of social wealth on economic behavior–that is, of effects left out of a standard economic analysis. We use a theoretical approach to integrate the expectations measure with the International Comparison Program's (ICP) PPP GDP statistics which produces a measure we term “effective GDP.” Compared to the ICP's PPP figures, the measure of “effective GDP” differs from the ICP's PPP estimates by as much as four to five percent in the positive direction for apparently optimistic countries and as much as two percent downwards for pessimists.

Suggested Citation

  • Fahd Rehman & Russel J. Cooper, 2017. "Consumer Expectations: A Residual Based Approach," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(4), pages 841-866, December.
  • Handle: RePEc:bla:revinw:v:63:y:2017:i:4:p:841-866
    DOI: 10.1111/roiw.12227
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/roiw.12227
    Download Restriction: no

    File URL: https://libkey.io/10.1111/roiw.12227?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Kenneth W. Clements & Dongling Chen, 2010. "Affluence and Food: A Simple Way to Infer Incomes," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(4), pages 909-926.
    2. Rehman, Fahd & Cooper, Russel J., 2014. "Regular Effective Demand Systems (REDS)," Economics Letters, Elsevier, vol. 124(2), pages 255-257.
    3. Russel J. Cooper & Keith R. McLaren, 1992. "An Empirically Oriented Demand System with Improved Regularity Properties," Canadian Journal of Economics, Canadian Economics Association, vol. 25(3), pages 652-668, August.
    4. Cooper, Russel J. & McLaren, Keith R. & Rehman, Fahd & Szewczyk, Wojciech A., 2015. "Economic welfare evaluation in an era of rapid technological change," Economics Letters, Elsevier, vol. 131(C), pages 38-40.
    5. Grace Gao, 2012. "World Food Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(1), pages 25-51.
    6. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    7. Bruce W. Hamilton, 2001. "Using Engel's Law to Estimate CPI Bias," American Economic Review, American Economic Association, vol. 91(3), pages 619-630, June.
    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. Fahd Rehman, 2020. "Optimism and pessimism: A cross‐country comparison," The World Economy, Wiley Blackwell, vol. 43(11), pages 3025-3038, November.

    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. Fahd Rehman, 2020. "Optimism and pessimism: A cross‐country comparison," The World Economy, Wiley Blackwell, vol. 43(11), pages 3025-3038, November.
    2. Kenneth W Clements & Yihui Lan & Haiyan Liu & Long Vo, 2022. "The Icp, Ppp And Household Expenditure Patterns," Economics Discussion / Working Papers 22-18, The University of Western Australia, Department of Economics.
    3. Gibson, John & Kim, Bonggeun, 2013. "Quality, Quantity, and Nutritional Impacts of Rice Price Changes in Vietnam," World Development, Elsevier, vol. 43(C), pages 329-340.
    4. Kieran Donaghy, 2011. "Models of travel demand with endogenous preference change and heterogeneous agents," Journal of Geographical Systems, Springer, vol. 13(1), pages 17-30, March.
    5. Seale, James L. & Solano, Alexis A., 2012. "The changing demand for energy in rich and poor countries over 25years," Energy Economics, Elsevier, vol. 34(6), pages 1834-1844.
    6. Cash, Sean B. & Goddard, Ellen W., 2006. "New Directions in Consumer Behaviour Research," CAFRI: Current Agriculture, Food and Resource Issues, Canadian Agricultural Economics Society, issue 7, pages 1-10, August.
    7. Filho, Irineu de Carvalho & Chamon, Marcos, 2012. "The myth of post-reform income stagnation: Evidence from Brazil and Mexico," Journal of Development Economics, Elsevier, vol. 97(2), pages 368-386.
    8. Grace Chua Ee Lin, 2003. "Food and Cross-Country Income Comparisons," Economics Discussion / Working Papers 03-14, The University of Western Australia, Department of Economics.
    9. Hartmut Egger & Simone Habermeyer, 2019. "Nonhomothetic preferences and rent sharing in an open economy," CESifo Working Paper Series 7522, CESifo.
    10. Kancs, d'Artis, 2002. "Modelling Renewable Energy Policies," Conference papers 331030, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    11. Atuesta, Laura & Paredes, Araya, 2011. "A Spatial Cost of Living Index for Colombia using a Microeconomic Approach and Censored Data," MPRA Paper 30580, University Library of Munich, Germany.
    12. Ingvild Almås & Timothy K.M. Beatty & Thomas F. Crossley, 2018. "Lost in Translation: What do Engel Curves Tell us about the Cost of Living?," CESifo Working Paper Series 6886, CESifo.
    13. Almås, Ingvild & Johnsen, Åshild Auglænd, 2012. "The cost of living in China: Implications for inequality and poverty," Discussion Paper Series in Economics 21/2012, Norwegian School of Economics, Department of Economics.
    14. Paul Blacklow & Aaron Nicholas & Ranjan Ray, 2010. "Demographic Demand Systems With Application To Equivalence Scales Estimation And Inequality Analysis: The Australian Evidence," Australian Economic Papers, Wiley Blackwell, vol. 49(3), pages 161-179, September.
    15. Emi Nakamura & Jón Steinsson & Miao Liu, 2016. "Are Chinese Growth and Inflation Too Smooth? Evidence from Engel Curves," American Economic Journal: Macroeconomics, American Economic Association, vol. 8(3), pages 113-144, July.
    16. Clements, Kenneth W. & Gao, Grace, 2015. "The Rotterdam demand model half a century on," Economic Modelling, Elsevier, vol. 49(C), pages 91-103.
    17. Gary Wong, 2001. "Towards A More General Approach To Testing The Time Additivity Hypothesis," School of Economics and Finance Discussion Papers and Working Papers Series 098, School of Economics and Finance, Queensland University of Technology.
    18. Maureen T. Rimmer & Alan A. Powell, 1992. "Demand Patterns Across the Development Spectrum: Estimates for the AIDADS System," Centre of Policy Studies/IMPACT Centre Working Papers op-75, Victoria University, Centre of Policy Studies/IMPACT Centre.
    19. Paul Preckel & J. A. L. Cranfield & Thomas Hertel, 2010. "A modified, implicit, directly additive demand system," Applied Economics, Taylor & Francis Journals, vol. 42(2), pages 143-155.
    20. H. Kim & Keith McLaren & K. Wong, 2013. "Empirical demand systems incorporating intertemporal consumption dynamics," Empirical Economics, Springer, vol. 45(1), pages 349-370, August.

    More about this item

    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:bla:revinw:v:63:y:2017:i:4:p:841-866. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/iariwea.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.