Importance of Melon Type, Size, Grade, Container, and Season in Determining Melon Prices
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) regres...
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| Format: | Article |
| Language: | English |
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Western Agricultural Economics Association
1995-07-01
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| Series: | Journal of Agricultural and Resource Economics |
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| Online Access: | https://ageconsearch.umn.edu/record/30924 |
| Summary: | 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. |
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| ISSN: | 1068-5502 2327-8285 |