Evolution of sugar exports in two centuries

Jose de Jesus Sousa Lemos, Marcos Paulo Mesquta da Cruz, Joao da Costa Filho, Elizama Cavalcante de Paiva, Erika Costa Sousa, Alexandra Pedrosa Monteiro
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Abstract

The research showed the trajectory of Brazilian exports and sugar prices between 1821 and 2020 (two centuries). The hypothesis of the research was that exporters' price forecasting errors affected their export forecasting errors in the period evaluated. The data were obtained from the Ministry of Development, Industry and Trade (MIDIC). Sugar prices were translated to 2020 Brazilian currency values (R$) and then to US dollars using the 2020 (R$/USD) average conversion rate. Autoregressive integrated moving average (ARIMA) models were used to forecast sugar exports and prices over the entire period. Geometric growth rates of exports and prices were estimated for each quartile using trend evaluation models. Dummy variables were used to test whether there were differences between the elasticities measuring the forecast errors of exports as a function of the forecast errors of sugar prices in each quartile. The estimated models proved to be parsimonious and robust from a statistical point of view. The hypotheses that prices and export quantities expanded at different rates in the four quartiles were confirmed and the estimated elasticities were shown to be statistically different suggesting that export forecasting errors are likely to be related to sugar price forecasts.
两个世纪以来糖出口的演变
该研究显示了1821年至2020年(两个世纪)巴西出口和食糖价格的轨迹。本研究的假设是出口商的价格预测误差影响其在评估期内的出口预测误差。数据来自发展、工业和贸易部(MIDIC)。食糖价格被换算成2020年巴西货币价值(雷亚尔),然后使用2020年(雷亚尔/美元)的平均汇率换算成美元。自回归综合移动平均(ARIMA)模型用于预测整个时期的糖出口和价格。使用趋势评估模型估计每个四分位数的出口和价格的几何增长率。使用虚拟变量来检验衡量出口预测误差作为每个四分位数糖价预测误差函数的弹性之间是否存在差异。从统计的角度来看,估计的模型被证明是简洁和稳健的。在四个四分位数中,价格和出口数量以不同的速度扩张的假设得到了证实,估计的弹性在统计上是不同的,这表明出口预测误差可能与食糖价格预测有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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