Importance of Melon Type, Size, Grade, Container, and Season in Determining Melon Prices

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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Bibliographic Details
Main Author: Russell Tronstad
Format: Article
Language:English
Published: Western Agricultural Economics Association 1995-07-01
Series:Journal of Agricultural and Resource Economics
Subjects:
binary split
cart
hedonic
relative importance
terminal node
Online Access:https://ageconsearch.umn.edu/record/30924
id doaj-8d99789d39fe47a7831fb77a13415260
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spelling doaj-8d99789d39fe47a7831fb77a134152602020-11-25T02:38:45ZengWestern Agricultural Economics AssociationJournal of Agricultural and Resource Economics1068-55022327-82851995-07-01201324810.22004/ag.econ.3092430924Importance of Melon Type, Size, Grade, Container, and Season in Determining Melon PricesRussell TronstadClassification 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.https://ageconsearch.umn.edu/record/30924binary splitcarthedonicrelative importanceterminal node
collection DOAJ
language English
format Article
sources DOAJ
author Russell Tronstad
spellingShingle Russell Tronstad
Importance of Melon Type, Size, Grade, Container, and Season in Determining Melon Prices
Journal of Agricultural and Resource Economics
binary split
cart
hedonic
relative importance
terminal node
author_facet Russell Tronstad
author_sort Russell Tronstad
title Importance of Melon Type, Size, Grade, Container, and Season in Determining Melon Prices
title_short Importance of Melon Type, Size, Grade, Container, and Season in Determining Melon Prices
title_full Importance of Melon Type, Size, Grade, Container, and Season in Determining Melon Prices
title_fullStr Importance of Melon Type, Size, Grade, Container, and Season in Determining Melon Prices
title_full_unstemmed Importance of Melon Type, Size, Grade, Container, and Season in Determining Melon Prices
title_sort importance of melon type, size, grade, container, and season in determining melon prices
publisher Western Agricultural Economics Association
series Journal of Agricultural and Resource Economics
issn 1068-5502
2327-8285
publishDate 1995-07-01
description 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.
topic binary split
cart
hedonic
relative importance
terminal node
url https://ageconsearch.umn.edu/record/30924
work_keys_str_mv AT russelltronstad importanceofmelontypesizegradecontainerandseasonindeterminingmelonprices
_version_ 1724789828325736448

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