Estimating Historical Inequality from Social Tables: Towards Methodological Consistency

Dieter von Fintel, Calumet Links and Erik Green ()
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Calumet Links: Stellenbosch University
Erik Green: Department of Economic History, Lund University, Postal: Department of Economic History, Lund University, Box 7083, S-220 07 Lund, Sweden

No 247, Lund Papers in Economic History from Lund University, Department of Economic History

Abstract: Research on long-term historical inequality has expanded to include previously neglected periods and societies, particularly in the global South. This is partly due to the resurgence of the social tables method in economic history, an approach which uses archival records to reconstruct income and wealth distributions in contexts where micro data is unavailable. This method can cause a downward bias in estimating inequality, but there is limited evidence of this bias in economic history. We collected a new data set of 108 historical social tables spanning over a 1000 years. We found that the compilers consistently made careful methodological choices that took data limitations into account. We found that the inequality estimates are not systematically related to the number of classes chosen or the size of the top class, but that choosing bottom classes that bundle together even small variations in income or wealth can introduce a downward bias to the inequality estimates. This drawback can be overcome by using methodological cohesion to mitigate the problem of limited information about the poorest classes in colonial archives.

Keywords: Social tables; Gini; inequality; pre-industrial; grouped data (search for similar items in EconPapers)
JEL-codes: D63 N30 (search for similar items in EconPapers)
Pages: 36 pages
Date: 2023-03-10
New Economics Papers: this item is included in nep-dem and nep-his
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Related works:
Working Paper: Estimating historical inequality from social tables: Towards Methodological Consistency (2023)
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