In fisheries, it is quite common to include a measure of fish stock as an argument of fishing production functions. Given that this information is not available in many cases, researchers use stock proxies. We show that catch-per-unit-effort, a common proxy based on the average catch of boats in a given period, introduces strong parametric restrictions when included as an explanatory variable in a linear production function. However, a proxy based on time dummy variables yields unbiased estimates of the effect of stock on catch. An empirical section that uses Monte Carlo simulation corroborates the theoretical results.

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鱼类种群代理比较。蒙特卡洛分析

在渔业中，将某种量的鱼类种群作为捕捞生产功能的论点是很普遍的。鉴于在许多情况下都无法获得此信息，因此研究人员将使用股票代理。我们显示，每单位工作量的捕获量（基于给定时期内平均船只捕获量的通用代理）在作为线性生产函数中的解释变量时引入了强大的参数限制。但是，基于时间虚拟变量的代理可以对存量对渔获量的影响进行无偏估计。使用蒙特卡洛模拟的经验部分证实了理论结果。