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Replication data for: Agricultural Productivity and Structural Transformation: Evidence from Brazil

Version
V0
Resource Type
Dataset
Creator
  • Bustos, Paula
  • Caprettini, Bruno
  • Ponticelli, Jacopo
Publication Date
2016-06-01
Description
  • Abstract

    We study the effects of the adoption of new agricultural technologies on structural transformation. To guide empirical work, we present a simple model where the effect of agricultural productivity on industrial development depends on the factor-bias of technical change. We test the predictions of the model by studying the introduction of genetically engineered soybean seeds in Brazil, which had heterogeneous effects on agricultural productivity across areas with different soil and weather characteristics. We find that technical change in soy production was strongly labor-saving and led to industrial growth, as predicted by the model.
Availability
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Relations
  • Is supplement to
    DOI: 10.1257/aer.20131061 (Text)
Publications
  • Bustos, Paula, Bruno Caprettini, and Jacopo Ponticelli. “Agricultural Productivity and Structural Transformation: Evidence from Brazil.” American Economic Review 106, no. 6 (June 2016): 1320–65. https://doi.org/10.1257/aer.20131061.
    • ID: 10.1257/aer.20131061 (DOI)

Update Metadata: 2020-05-18 | Issue Number: 2 | Registration Date: 2019-10-12

Bustos, Paula; Caprettini, Bruno; Ponticelli, Jacopo (2016): Replication data for: Agricultural Productivity and Structural Transformation: Evidence from Brazil. Version: V0. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/E112945