IDEAS home Printed from https://ideas.repec.org/p/een/camaaa/2019-88.html
   My bibliography  Save this paper

Dynamic cost of living index for storable goods

Author

Listed:
  • Kozo Ueda

Abstract

Consumers hold inventory for future uses. This study investigates how such intertemporal decisions influence the cost-of-living index (COLI). To this end, I construct a simple dynamic model, in which goods are storable and nonresalable, and prices take either high (regular price) or low values (sales). I then introduce two types of dynamic COLIs. Simulation results show that neither index satisfies both monotonicity and the time reversal test.

Suggested Citation

  • Kozo Ueda, 2019. "Dynamic cost of living index for storable goods," CAMA Working Papers 2019-88, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    • Handle: RePEc:een:camaaa:2019-88
    as

    Download full text from publisher

    File URL: https://cama.crawford.anu.edu.au/sites/default/files/publication/cama_crawford_anu_edu_au/2019-12/88_2019_ueda.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Igal Hendel & Aviv Nevo, 2006. "Sales and consumer inventory," RAND Journal of Economics, RAND Corporation, vol. 37(3), pages 543-561, September.
    2. Nao Sudo & Kozo Ueda & Kota Watanabe & Tsutomu Watanabe, 2018. "Working Less and Bargain Hunting More: Macroimplications of Sales during Japan's Lost Decades," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(2-3), pages 449-478, March.
    3. Matthew Osborne, 2018. "Approximating the Cost-of-Living Index for a Storable Good," American Economic Journal: Microeconomics, American Economic Association, vol. 10(2), pages 286-314, May.
    4. Nao Sudo & Kozo Ueda & Kota Watanabe, 2014. "Micro Price Dynamics during Japan's Lost Decades," Asian Economic Policy Review, Japan Center for Economic Research, vol. 9(1), pages 44-64, January.
    5. Igal Hendel & Aviv Nevo, 2006. "Measuring the Implications of Sales and Consumer Inventory Behavior," Econometrica, Econometric Society, vol. 74(6), pages 1637-1673, November.
    6. Ueda, Kozo, 2020. "Dynamic cost of living index for storable goods," Economics Letters, Elsevier, vol. 189(C).
    7. Igal Hendel & Aviv Nevo, 2006. "Sales and Consumer Inventory," RAND Journal of Economics, The RAND Corporation, vol. 37(3), pages 543-561, Autumn.
    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. Tsutomu Watanabe & Tomoyoshi Yabu, 2023. "The demand for money at the zero interest rate bound," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(6), pages 968-976, September.
    2. Ueda, Kozo, 2020. "Dynamic cost of living index for storable goods," Economics Letters, Elsevier, vol. 189(C).
    3. Kozo Ueda & Kota Watanabe & Tsutomu Watanabe, 2021. "Household Inventory, Temporary Sales, and Price Indices," Working Papers on Central Bank Communication 033, University of Tokyo, Graduate School of Economics.
    4. Kozo Ueda & Kota Watanabe & Tsutomu Watanabe, 2020. "Consumer Inventory and the Cost of Living Index: Theory and Some Evidence from Japan," Working Papers on Central Bank Communication 025, University of Tokyo, Graduate School of Economics.
    5. Kozo Ueda & Kota Watanabe & Tsutomu Watanabe, 2024. "Household Inventory, Temporary Sales, Price Indices," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 65(1), pages 217-251, February.

    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. Kozo Ueda & Kota Watanabe & Tsutomu Watanabe, 2020. "Consumer Inventory and the Cost of Living Index: Theory and Some Evidence from Japan," Working Papers on Central Bank Communication 025, University of Tokyo, Graduate School of Economics.
    2. Fabio Antoniou & Raffaele Fiocco, 2023. "Storable Good Market With Intertemporal Cost Variations," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(1), pages 361-385, February.
    3. Giulietti, Monica & Otero, Jesús & Waterson, Michael, 2020. "Rigidities and adjustments of daily prices to costs: Evidence from supermarket data," Journal of Economic Dynamics and Control, Elsevier, vol. 116(C).
    4. Kozo Ueda & Kota Watanabe & Tsutomu Watanabe, 2021. "Household Inventory, Temporary Sales, and Price Indices," CARF F-Series CARF-F-520, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    5. Glandon, PJ, 2018. "Sales and the (Mis)measurement of price level fluctuations," Journal of Macroeconomics, Elsevier, vol. 58(C), pages 60-77.
    6. Hinnosaar, Marit, 2016. "Time inconsistency and alcohol sales restrictions," European Economic Review, Elsevier, vol. 87(C), pages 108-131.
    7. Jakina Debnam, 2017. "Selection Effects and Heterogeneous Demand Responses to the Berkeley Soda Tax Vote," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(5), pages 1172-1187.
    8. Mira Frick & Ryota Iijima & Tomasz Strzalecki, 2019. "Dynamic Random Utility," Econometrica, Econometric Society, vol. 87(6), pages 1941-2002, November.
    9. Berck, Peter & Brown, Jennifer & Perloff, Jeffrey M & Villas-Boas, Sofia B., 2007. "Sales: Tests of Theories on Causality and Timing," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt2g56n1jk, Department of Agricultural & Resource Economics, UC Berkeley.
    10. Andrew Sweeting, 2007. "Dynamic Product Repositioning in Differentiated Product Markets: The Case of Format Switching in the Commercial Radio Industry," NBER Working Papers 13522, National Bureau of Economic Research, Inc.
    11. Baker, Scott R. & Johnson, Stephanie & Kueng, Lorenz, 2024. "Financial returns to household inventory management," Journal of Financial Economics, Elsevier, vol. 151(C).
    12. Aguirregabiria, Victor & Gu, Jiaying & Luo, Yao, 2021. "Sufficient statistics for unobserved heterogeneity in structural dynamic logit models," Journal of Econometrics, Elsevier, vol. 223(2), pages 280-311.
    13. Andrew Ching & Susumu Imai & Masakazu Ishihara & Neelam Jain, 2012. "A practitioner’s guide to Bayesian estimation of discrete choice dynamic programming models," Quantitative Marketing and Economics (QME), Springer, vol. 10(2), pages 151-196, June.
    14. Jan De Loecker & Paul T. Scott, 2016. "Estimating market power Evidence from the US Brewing Industry," NBER Working Papers 22957, National Bureau of Economic Research, Inc.
    15. Stephan Seiler, 2013. "The impact of search costs on consumer behavior: A dynamic approach," Quantitative Marketing and Economics (QME), Springer, vol. 11(2), pages 155-203, June.
    16. Gonca P. Soysal & Lakshman Krishnamurthi, 2012. "Demand Dynamics in the Seasonal Goods Industry: An Empirical Analysis," Marketing Science, INFORMS, vol. 31(2), pages 293-316, March.
    17. Ching, Andrew T. & Erdem, Tülin & Keane, Michael P., 2014. "A simple method to estimate the roles of learning, inventories and category consideration in consumer choice," Journal of choice modelling, Elsevier, vol. 13(C), pages 60-72.
    18. Donna, Javier D., 2018. "Measuring Long-Run Price Elasticities in Urban Travel Demand," MPRA Paper 90059, University Library of Munich, Germany.
    19. Jun Li & Nelson Granados & Serguei Netessine, 2014. "Are Consumers Strategic? Structural Estimation from the Air-Travel Industry," Management Science, INFORMS, vol. 60(9), pages 2114-2137, September.
    20. Damien Neven & Miguel Mano, 2009. "Economics at DG Competition, 2008–2009," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 35(4), pages 317-347, December.

    More about this item

    Keywords

    consumer inventory; cost-of-living index; price index;
    All these keywords.

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • D15 - Microeconomics - - Household Behavior - - - Intertemporal Household Choice; Life Cycle Models and Saving
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:een:camaaa:2019-88. 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: Cama Admin (email available below). General contact details of provider: https://edirc.repec.org/data/asanuau.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.