EconPapers    
Economics at your fingertips  
 

Counting the missing poor in pre-industrial societies

Mathieu Lefebvre, Pierre Pestieau and Gregory Ponthiere

Cliometrica, 2023, vol. 17, issue 1, No 6, 155-183

Abstract: Abstract Under income-differentiated mortality, poverty measures suffer from a selection bias: they do not count the missing poor (i.e., persons who would have been counted as poor provided they did not die prematurely). The Pre-Industrial period being characterized by an evolutionary advantage (i.e., a higher number of surviving children per household) of the non-poor over the poor, one may expect that the missing poor bias is substantial during that period. This paper quantifies the missing poor bias in Pre-Industrial societies, by computing the hypothetical headcount poverty rates that would have prevailed provided the non-poor did not benefit from an evolutionary advantage over the poor. Using data on Pre-Industrial England and France, we show that the sign and size of the missing poor bias are sensitive to the degree of downward social mobility.

Keywords: Poverty; Measurement; Selection effects; Missing poor (search for similar items in EconPapers)
JEL-codes: I32 N33 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11698-022-00243-y Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
Journal Article: Counting the missing poor in pre-industrial societies (2023) Downloads
Working Paper: Counting the missing poor in pre-industrial societies (2023)
Working Paper: Counting the missing poor in pre-industrial societies (2023) Downloads
Working Paper: Counting the missing poor in pre-industrial societies (2023) Downloads
Working Paper: Counting the Missing Poor in Pre-Industrial Societies (2021) Downloads
Working Paper: Counting the Missing Poor in Pre-Industrial Societies (2021) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:cliomt:v:17:y:2023:i:1:d:10.1007_s11698-022-00243-y

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11698

DOI: 10.1007/s11698-022-00243-y

Access Statistics for this article

Cliometrica is currently edited by Claude Diebolt

More articles in Cliometrica from Springer, Cliometric Society (Association Francaise de Cliométrie) Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2024-09-10
Handle: RePEc:spr:cliomt:v:17:y:2023:i:1:d:10.1007_s11698-022-00243-y