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Importance Of Melon Type, Size, Grade, Container, And Season In Determining Melon Prices

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  • Tronstad, Russell

Abstract

Classification and Regression Trees (CART), a computer intensive nonparametric classification method, was used to model weekly Los Angeles wholesale prices (1990-93) for twelve different melon types. CART explained more of the variation in melon prices than did an ordinary least squares (OLS) regression with dummy variables. Explanatory variables ranked as the most-to-least important by CART are as follows: week, type of melon, year, size, grade, and shipping container. The most notable price change occurs when prices fall after 13 May.

Suggested Citation

  • Tronstad, Russell, 1995. "Importance Of Melon Type, Size, Grade, Container, And Season In Determining Melon Prices," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 20(1), pages 1-10, July.
    • Handle: RePEc:ags:jlaare:30924
    DOI: 10.22004/ag.econ.30924
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    References listed on IDEAS

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    Cited by:

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    2. Ricardo Mora, 2008. "A nonparametric decomposition of the Mexican American average wage gap," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(4), pages 463-485.
    3. Kariuki, Isaac Maina & Loy, Jens-Peter & Herzfeld, Thomas, 2012. "Farmgate Private Standards and Price Premium: Evidence From the GlobalGAP Scheme in Kenya's French Beans Marketing," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 28(1), pages 42-53.

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