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A Latent Structure Approach to Measuring Reputation

Author

Listed:
  • Kwamena K. Quagrainie
  • Jill J. McCluskey
  • Maria L. Loureiro
Abstract
The present study provides estimates of reputation as a dynamic latent variable that is determined by price premiums and market data. Further, it analyzes the effect of extrinsic factors on reputation. Specifically, this study seeks to (i) quantify the reputation of Washington apples over time, (ii) study the dynamic nature of reputation, and (iii) analyze the effect of the label “Washington Apple.” The model adopted in this study is the dynamic multiple‐indicator multiple‐cause (DYMIMIC) modeling approach, which is a special case of the general latent variable modeling scheme called “state‐space” models. Both DYMIMIC and hedonic approaches are applied to the data on Washington apples, and results from the two approaches are compared.

Suggested Citation

  • Kwamena K. Quagrainie & Jill J. McCluskey & Maria L. Loureiro, 2003. "A Latent Structure Approach to Measuring Reputation," Southern Economic Journal, John Wiley & Sons, vol. 69(4), pages 966-977, April.
    • Handle: RePEc:wly:soecon:v:69:y:2003:i:4:p:966-977
    DOI: 10.1002/j.2325-8012.2003.tb00543.x
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    References listed on IDEAS

    as
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    4. Manuel Garcia & Carlos Carpio & Darren Hudson & Tullaya Boonsaeng & Chenggang Wang, 2024. "Mexican consumers' perceptions and preferences for US and Texas beef," Agribusiness, John Wiley & Sons, Ltd., vol. 40(4), pages 727-748, October.

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