Revolutionary Transition
Inheritance Change and Fertility Decline
Bibliographic Data
| ID | 10171128 |
|---|---|
| Authors | Victor Gay (0000-0001-9912-3841, Institute for Advanced Study in Toulouse), Paula E Gobbi (0000-0002-6647-2030, Université Libre de Bruxelles), Paula Gobbi, Marc Goñi (0000-0002-6862-0973, Centre for Economic Policy Research) |
| Year | 2025 |
| Publication date | 2025-12-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of Political Economy (JOURNAL) |
| Journal identifiers | ISSN: 0022-3808 • E-ISSN: 1537-534X |
| Publisher | University of Chicago Press (PUBLISHER • US) |
| DOI | 10.1086/739821 |
| OpenAlex | W4390862822 |
| Language | EN |
| Citations received | 6 |
| References cited | 71 |
We test Le Play’s (1875) hypothesis that the French Revolution contributed to France’s early fertility decline. In 1793, a series of inheritance reforms abolished local inheritance practices, imposing equal partition of assets among all children. We develop a theoretical framework that predicts a decline in fertility following these reforms because of indivisibility constraints in parents’ assets. We test this hypothesis by combining a newly created map of pre-Revolution local inheritance practices together with demographic data from the Henry database and from rowdsourced geneaologies in Geni.com. We provide difference-in-differences and regressiondiscontinuity estimates based on comparing cohorts of fertile age and cohorts too old to be fertile in 1793 between municipalities where the reforms altered and did not alter existing inheritance practices. We find that the 1793 inheritance reforms reduced completed fertility by half to one child, closed the pre-reform fertility gap between different inheritance regions, and sharply accelerated France’s early fertility transition
Biology · Demographic economics · Economics · Evolutionary biology · Fertility · Geography · Inheritance (genetic algorithm · Sociology · Transition (genetics · Demographic Trends and Gender Preferences · Demography · Genetics
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| Unique citing works | 6 |
|---|---|
| Citations per year | 3 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 4 |