Latin American exports during the first globalization: How statistical aggregation and standardization affect our understanding of trade

Marc Badia-Miró, Anna Carreras-Marín, Agustina Rayes
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Abstract

Abstract Data constraints determine the scope of historical research. The gradual digitalization of large sources has increased the number of approaches that can be applied to comprehend the past. Here, we show an example of how trade data can shed new light to better understand growth patterns of Latin America at the end of nineteenth century. Latin American exports during the First Globalization has mainly focused on the high concentration of few products to few markets. In this article, we propose a complementary way to measure diversification by considering the relative number of goods and the number of trade partners. To do so, we had to deal with historical official trade data hardly comparable, which has been homogenized for some countries in a 1910 benchmark (SITC-rev2). From that, we can offer a new measure of trade diversification, internationally comparable over time and across countries. Standardizing trade data also implies some consequences in the sense that the number of items for industrial goods is always greater than those for primary goods, arising the question if lower diversification is an inevitable result of specialization on commodities, or instead, it is a statistical artifact driven by the standard criterium we impose on data.
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第一次全球化中的拉丁美洲出口:统计汇总和标准化如何影响我们对贸易的理解
数据约束决定了历史研究的范围。大型资源的逐渐数字化增加了可用于理解过去的方法的数量。在这里,我们展示了一个例子,说明贸易数据如何为更好地理解19世纪末拉丁美洲的增长模式提供了新的视角。在第一次全球化期间,拉丁美洲的出口主要集中在少数产品对少数市场的高度集中。在本文中,我们提出了一种互补的方法,通过考虑商品的相对数量和贸易伙伴的数量来衡量多样化。为此,我们必须处理难以比较的历史官方贸易数据,这些数据在1910年的基准(SITC-rev2)中对一些国家进行了同质化处理。由此,我们可以提供一种新的衡量贸易多样化的方法,可以在不同的时间和国家之间进行国际比较。标准化贸易数据也意味着一些后果,即工业品的项目数量总是大于初级产品的项目数量,这就产生了一个问题,即低多样化是商品专业化的必然结果,还是相反,它是由我们强加给数据的标准标准驱动的统计人工制品。
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