估计黄金的cagan型需求函数:1561-1913

A. Deviatov
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引用次数: 0

摘要

黄金产量和黄金价值的长时间序列,摘自Jastram的《黄金常数》一书,被用来估计一个卡根型需求函数,该函数将黄金的总实际价值与其预期回报率联系起来。该模型假设黄金产量和潜在规模变量(收入或消费)共同是外生的,并且数据测量存在误差。数据否定了这个模型:估计表明,黄金的实际价值相对于预期回报变化很大,并且与预期回报负相关,而不是正相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimating а Cagan-type Demand Function for Gold: 1561–1913
Long time series on gold production and the value of gold, taken from Jastram's book The Golden Constant, are used to estimate a Cagan-type demand function that relates the total real value of gold to its expected rate of return. The model assumes that gold production and a latent scale variable (income or consumption) are jointly exogenous and that the data are measured with error. The data reject the model: the estimates imply that the real value of gold varies a great deal relative to the expected return and depends on it negatively, rather than positively.
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