Cited by 353Global trade and economicsEconomic and Technological InnovationInternational Business and FDI

Exports, Export Destinations, and Skills

Brambilla, Irene, Lederman, Daniel, Porto, Guido·2012·American Economic Review

Abstract

This paper explores the links between exports, export destinations, and skill utilization. We identify two mechanisms behind these links: differences across destinations in quality valuation and in exporting required services, activities that are intensive in skilled labor. Depending on the characteristics of the source country (income, language), the theories suggest a skill-bias in export destinations. We test the theory using a panel of Argentine manufacturing firms. We find that Argentine firms exporting to high-income countries hired more skilled workers than other exporters and domestic firms. Instead, we cannot identify any causal effect of exporting per se on skill utilization. (JEL F14, F16, J24, L60, O14, O19)

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Registry

Crossref · 10.1257/aer.102.7.3406

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3 of 3 references verified0 citation errors · 0 not checkable

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  • The Brambilla et al. (2012) regression is a sharp design.

    “This is a sharp design.”

    From Two-Way Fixed Effects Estimators with Heterogeneous Treatment Effects (2020) · cites this paper as Brambilla et al. (2012)

  • The stable groups assumption is presumably satisfied for the Brambilla et al. (2012) regression because it is likely that between each pair of consecutive periods, there are firms whose ratio of exports to sales does not change.

    “The stable groups assumption is presumably satisfied: it is likely that between each pair of consecutive periods, there are firms whose ratio of exports to sales does not change.”

    From Two-Way Fixed Effects Estimators with Heterogeneous Treatment Effects (2020) · cites this paper as Brambilla et al. (2012)

  • In the Brambilla et al. (2012) regression in the first column of Table 2, the dependent variable is a measure of skills in the labor force employed by firm i in industry j at period t, and the explanatory variables are firm and industry × period fixed effects, the ratio of exports to sales in firm i at period t, and controls.

    “In the regression in, say, the first column of Table 2, the dependent variable is a measure of skills in the labor force employed by firm i in industry j at period t, and the explanatory variables are firm and industry × period fixed effects, the ratio of exports to sales in firm i at period t, and some controls.”

    From Two-Way Fixed Effects Estimators with Heterogeneous Treatment Effects (2020) · cites this paper as Brambilla et al. (2012)

  • The Brambilla et al. (2012) regression corresponds to Regression 1, with some controls.

    “This regression corresponds to Regression 1, with some controls.”

    From Two-Way Fixed Effects Estimators with Heterogeneous Treatment Effects (2020) · cites this paper as Brambilla et al. (2012)

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Authors
Brambilla, I., Lederman, D., & Porto, G.
Affiliations
  • Consejo Nacional de Investigaciones Científicas y Técnicas (AR)
  • World Bank (US)
  • Universidad Nacional de La Plata (AR)
Venue
American Economic Review
Published
2012-12-01
Volume
102
Issue
7
Pages
3406-3438
ISSN
0002-8282 (ISSN-L)
OpenAlex
W2038656046
Cited by
353
References
3
Citations by year
2026: 18 · 2025: 38 · 2024: 24 · 2023: 26 · 2022: 28 · 2021: 39 · 2020: 22 · 2019: 18 · 2018: 24 · 2017: 24 · 2016: 21 · 2015: 20 · 2014: 17 · 2013: 16 · 2012: 8
FWCI
46.36
Type
journal article
Language
en
Open access
closed
Locations
  • American Economic Review (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Social Sciences › Economics, Econometrics and Finance › General Economics, Econometrics and Finance › Global trade and economics
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic and Technological Innovation
  • Social Sciences › Business, Management and Accounting › Strategy and Management › International Business and FDI
Keywords
exports, export markets, skill utilization, skilled workers, skill-biased trade, firm income, language

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