Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 344

The DOI matches its Crossref record.

Is "Learning-by-Exporting" Important? Micro-Dynamic Evidence from Colombia, Mexico and Morocco

Open access
Clerides, Sofronis, Lach, Saul, Tybout, James·1996·National Bureau of Economic Research

Abstract

Is there any empirical evidence that firms become more efficient after becoming exporters?Do firms that become exporters generate positive spillovers for domestically-oriented producers?In this paper we analyze the causal links between exporting and productivity using firm-level panel data from three semi-industrialized countries.Representing export market participation and production costs as jointly dependent autoregressive processes, we look for evidence that firms' stochastic cost processes shift when they break into foreign markets.We find that relatively efficient firms become exporters, but firms' unit costs are not affected by previous export market participation.So the well-known efficiency gap between exporters and non-exporters is due to selfselection of the more efficient firms into the export market, rather than learning by exporting, Further, we find some evidence that exporters reduce the costs of breaking into foreign markets for domestically oriented producers, but they do not appear to help these producers become more efficient.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3386/w5715

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 344

Metadata

Authors
Clerides, S., Lach, S., & Tybout, J.
Venue
National Bureau of Economic Research
Published
1996-08
OpenAlex
W4289259221
Cited by
344
References
0
Type
report
Language
en
Open access
green

About these checks

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.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Is "Learning-by-Exporting" Important? Micro-Dynamic Evidence from Colombia, Mexico and Morocco. https://app.cochat.ai/papers/10.3386/w5715
The paper
Clerides, S., Lach, S., & Tybout, J. (1996). Is "Learning-by-Exporting" Important? Micro-Dynamic Evidence from Colombia, Mexico and Morocco. National Bureau of Economic Research. https://doi.org/10.3386/w5715

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.