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Life-Cycle Changes In Consumption Behavior: Age-Specific And Regional Variations

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  • Masayo Wakabayashi
  • Geoffrey J. D. Hewings

Abstract

type="main" xml:lang="en"> ABSTRACT: While research conducted over the last two decades has pointed to the important role played by household consumption in regional economic models, little attention has been directed to the consumption impacts associated not only with income changes, but also life-cycle changes. Using Japanese data, this paper explores some of the implications of life-cycle changes on consumption behavior using a modified AIDS (Almost Ideal Demand System) estimation system. Testing is directed to differences in age-specific consumption behavior and the potential differences in consumption by age and province.

Suggested Citation

  • Masayo Wakabayashi & Geoffrey J. D. Hewings, 2007. "Life-Cycle Changes In Consumption Behavior: Age-Specific And Regional Variations," Journal of Regional Science, Wiley Blackwell, vol. 47(2), pages 315-337, May.
  • Handle: RePEc:bla:jregsc:v:47:y:2007:i:2:p:315-337
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    File URL: http://hdl.handle.net/10.1111/j.1467-9787.2007.00511.x
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    References listed on IDEAS

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    4. Hewings, Geoffrey J. D. & Fonseca, Manuel & Guilhoto, Joaquim & Sonis, Michael, 1989. "Key sectors and structural change in the Brazilian economy: A comparison of alternative approaches and their policy implications," Journal of Policy Modeling, Elsevier, vol. 11(1), pages 67-90.
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    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.
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    Cited by:

    1. Birgit Aigner-Walder & Thomas Döring, 2012. "The Effects of Population Ageing on Private Consumption — A Simulation for Austria Based on Household Data up to 2050," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 2(1), pages 63-80, June.
    2. Geoffrey Hewings & Seryoung Park, 2007. "Aging and the Regional Economy: Simulation Results from the Chicago CGE Model," EcoMod2007 23900037, EcoMod.
    3. Zeng, Lin & Xu, Ming & Liang, Sai & Zeng, Siyu & Zhang, Tianzhu, 2014. "Revisiting drivers of energy intensity in China during 1997–2007: A structural decomposition analysis," Energy Policy, Elsevier, vol. 67(C), pages 640-647.
    4. Zhou, Xiaoyong & Zhou, Dequn & Wang, Qunwei, 2018. "How does information and communication technology affect China's energy intensity? A three-tier structural decomposition analysis," Energy, Elsevier, vol. 151(C), pages 748-759.
    5. Ronald L. Whisler & Brigitte S. Waldorf & Gordon F. Mulligan & David A. Plane, 2008. "Quality of Life and the Migration of the College‐Educated: A Life‐Course Approach," Growth and Change, Wiley Blackwell, vol. 39(1), pages 58-94, March.
    6. JIMON Stefania Amalia & BALTES Nicolae & MUNTEAN Neli, 2019. "Social Protection Of Older People And The Structure Of Consumption Expenditure In Countries Of Central And Eastern Europe," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 71(2), pages 103-117, September.
    7. K. Newbold, 2015. "Population aging: What role for regional science?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 55(2), pages 357-372, December.
    8. Chen, Quanrun & Dietzenbacher, Erik & Los, Bart & Yang, Cuihong, 2016. "Modeling the short-run effect of fiscal stimuli on GDP: A new semi-closed input–output model," Economic Modelling, Elsevier, vol. 58(C), pages 52-63.
    9. Andrea Kunnert & Oliver Fritz & Dieter Pennerstorfer & Gerhard Streicher & Birgit Aigner & Thomas Döring, 2010. "Teilbericht 3: Alterung und regionale Wettbewerbsfähigkeit," WIFO Studies, WIFO, number 41128, Juni.

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