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Cited by 1,113

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

The Persistent Effects of Peru's Mining Mita

·2010·Econometrica
DOI 10.3982/ecta8121
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Abstract

This study utilizes regression discontinuity to examine the long-run impacts of the mita, an extensive forced mining labor system in effect in Peru and Bolivia between 1573 and 1812. Results indicate that a mita effect lowers household consumption by around 25% and increases the prevalence of stunted growth in children by around 6 percentage points in subjected districts today. Using data from the Spanish Empire and Peruvian Republic to trace channels of institutional persistence, I show that the mita's influence has persisted through its impacts on land tenure and public goods provision. Mita districts historically had fewer large landowners and lower educational attainment. Today, they are less integrated into road networks and their residents are substantially more likely to be subsistence farmers.

Overview

Integrity signals

Registry

Crossref · 10.3982/ecta8121

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

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Verification

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Citations

Cites

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Cited by

Metadata

Venue
Econometrica
Publisher
The Econometric Society
Published
2010
Volume
78
Issue
6
Pages
1863-1903
ISSN
0012-9682
DOI
10.3982/ecta8121
Cited by
1,113
References
1
Language
en
Licence
doi.wiley.com/10.1002/tdm_license_1.1 (tdm, 2069 d)

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.