预测切萨皮克湾地区蓝蟹的船前价格:个别和综合方法

M. A. Hudson, O. Capps
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引用次数: 5

摘要

鉴于切萨皮克湾硬蓝蟹渔业对美国蓝蟹渔业的相对重要性,本文分析了该地区登陆的硬蓝蟹的船前价格。目的是评估预测海湾硬蓝蟹船前价格的替代方法;包括个别方法(趋势外推法、计量经济学和时间序列)和综合方法。检验各方法的均方误差,时间序列模型表现最好,计量模型略好于趋势外推模型。尽管在某些情况下差异很小,但没有一种复合方法优于时间序列模型。然而,时间序列趋势外推组合在识别转折点方面优于所有其他模型。一般来说,蓝蟹的船前价格似乎具有很强的时间依赖性,因此,时间序列模型的预测效果比计量模型更好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Forecasting Ex-Vessel Prices for Hard Blue Crabs in the Chesapeake Bay Region: Individual and Composite Methods
Given the relative importance of the Chesapeake Bay hard blue crab fishery to the U.S. blue crab fishery , this paper analyzes ex-vessel prices for hard blue crabs landed in this region. The purpose is to evaluate alternative methods of forecasting ex-vessel prices for hard blue crabs in the Bay; both individual methods (trend extrapolation, econometric, and time-series) and composite methods. Examining the mean squared errors for the individual methods, the time-series model performs the best, with the econometric model slightly better than the trend extrapolation model. None of the composite methods outperforms the time-series model, although in some cases the differences are slight. Nevertheless, the time-series trend extrapolation composite outperforms all other models in identifying turning points. Generally speaking, it would appear that ex-vessel prices for hard blue crabs possess strong time dependencies , and consequently, better forecasts occur with time-series models than with econometric models.
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