IDEAS home Printed from https://ideas.repec.org/p/cth/wpaper/gru_2019_023.html
   My bibliography  Save this paper

Identification and Estimation of Forward-looking Behavior: The Case of Consumer Stockpiling

Author

Listed:
  • Andrew T. Ching

    (Johns Hopkins University)

  • Matthew Osborne

    (University of Toronto)

Abstract

Understanding how forward-looking consumers respond to price promotions in storable goods markets is an important area of research in empirical marketing and industrial organization. In prior work, researchers have assumed that consumers in these markets are very forward-looking, and calibrated their weekly discount factors to levels around 0.9995. This calibration has been used because earlier research has assumed that a consumer’s storage cost is a continuous func- tion of inventory, which rules out exclusion restrictions that can be used to identify the discount factor. We show that by properly modeling storage cost as a step function of inventory (be- cause storage cost depends on the number of packages stored, instead of the actual amount of inventory), natural exclusion restrictions arise that allow for the discount factor to be point identified. In an application to a storable good category, we find that weekly discount factors are very heterogeneous across consumers, and are on average 0.71. We show through a counter- factual exercise that if one used a model which fixed the discount factor to be consistent with the standard calibrated value, one would overpredict the effect of increased promotional depth for a product on its quantity sold by 18% in the short-term, and 15% in the long-term.

Suggested Citation

  • Andrew T. Ching & Matthew Osborne, 2019. "Identification and Estimation of Forward-looking Behavior: The Case of Consumer Stockpiling," GRU Working Paper Series GRU_2019_023, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
  • Handle: RePEc:cth:wpaper:gru_2019_023
    as

    Download full text from publisher

    File URL: https://www.cb.cityu.edu.hk/ef/doc/GRU/WPS/GRU%232019-023%20Ching.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Discount Factor; Exclusion Restriction; Stockpiling; Dynamic Programming;
    All these keywords.

    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:cth:wpaper:gru_2019_023. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: GRU (email available below). General contact details of provider: https://edirc.repec.org/data/decithk.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.