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- Galli, Stefania, 1989, et al.
(författare)
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Economic Inequality in Latin America and Africa, 1650 to 1950: Can a comparison of historical trajectories help to understand underdevelopment?
- 2023
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Ingår i: Economic History of Developing Regions. - : Informa UK Limited. - 2078-0389 .- 2078-0397. ; 38:1, s. 41-64
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Tidskriftsartikel (refereegranskat)abstract
- The present article provides a comparative review of historicaleconomic inequality in the two most unequal regions of theworld, namely Latin America and Africa. This contributionexamines novel studies that provide quantitative estimates ofincome and/or wealth inequality in the two continents in termsof sources, methods, results and interpretations, focusing on theperiod 1650 to 1950. The article shows that although scholars inthe two regions have often employed similar methodologies,their results are far from conforming to a uniform pattern. Thepresent review highlights how scholars of Latin America andAfrica tend to remain geographically isolated, failing to capturethe learning opportunities stemming from the work of theircontinental counterparts in terms of both sources and methods.
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| 2. |
- Galli, Stefania, 1989, et al.
(författare)
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Reconstructing a slave society: Building the DWI panel, 1760-1914
- 2023
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- In this article, we discuss the sources employed and the methodological choices that entailed assembling a novel, individual-level, large panel dataset containing an incredible wealth of data for a full population in the Caribbeans over the long run, the DWI panel. The panel contains over 1.35 million observations spanning 154 years, well over 100 variables, and its records are linked across sources along demographic and geographic lines throughout the entire period. This richness is all the more valuable in light of the limited source’s availability characteristics of the area and is hoped to lead to a renewed debate over our understanding of former slave societies, while fostering collaborations with scholars relying on similar datasets for other areas of the world.
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