The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Does Trade Raise Income? Evidence from the Twentieth Century
Open accessAbstract
Efforts to estimate the effects of international trade on a country’s real income have been hampered by the failure to account for the endogeneity of trade. Frankel and Romer recently use a country’s geographic attributes – notably its distance from potential trading partners – to construct an instrument to identify the effects of trade on income in 1985. Using data from the pre-World War I, the interwar, and the post-war periods, we find that the main result of Frankel and Romer is confirmed throughout the whole century: countries that trade more as a proportion of their GDP have higher incomes even after controlling for the endogeneity of trade. We also find that the OLS estimate of trade’s effect on income is biased downwards in almost every sample year. However, this result is not robust to the inclusion of distance from equator (latitude). Acknowledgments: We wish to thank Phillip Swagel for generously providing data from the IMF’s Direction of Trade Statistics, Leandro Prados de la Escosura for providing GDP data, and William Congdon for research assistance. We also thank Jeffrey Frankel, Nina Pavcnik, Dani Rodrik, David Romer, and several referees for helpful comments. Terviö thanks the Yrjö Jahnsson Foundation and the Finnish Cultural Foundation for financial support.
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.
Integrity signals
Registry
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.
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
Cites
Why do Some Countries Produce So Much More Output Per Worker than Others?
Hall, R. E., & Jones, C. I. (1999) · The Quarterly Journal of Economics · doi:10.1162/003355399555954 · Cited by 7,879
The Colonial Origins of Comparative Development: An Empirical Investigation: Reply
Acemoglu, D., Johnson, S., & Robinson, J. A. (2012) · American Economic Review · doi:10.1257/aer.102.6.3077 · Cited by 6,047
Frankel, J. A., & Romer, D. (1999) · American Economic Review · doi:10.1257/aer.89.3.379 · Cited by 5,384
The Penn World Table (Mark 5): An Expanded Set of International Comparisons, 1950-1988
Summers, R., & Heston, A. (1991) · The Quarterly Journal of Economics · doi:10.2307/2937941 · Cited by 3,429
Trade Policy and Economic Growth: A Skeptic's Guide to the Cross-National Evidence
Rodríguez, F., & Rodrik, D. (2000) · NBER Macroeconomics Annual · doi:10.1086/654419 · Cited by 2,355
An Econometric Study of International Trade Flows
Balassa, B., & Linnemann, H. (1968) · Econometrica · doi:10.2307/1907508 · Cited by 1,028
Trade blocs, currency blocs and the reorientation of world trade in the 1930s
Eichengreen, B., & Irwin, D. A. (1995) · Journal of International Economics · doi:10.1016/0022-1996(95)92754-p · Cited by 451
Self-citationInternational Comparisons of Real Product, 1820–1990: An Alternative Data Set
Prados de la Escosura, L. (2000) · Explorations in Economic History · doi:10.1006/exeh.1999.0731 · Cited by 310
The Gains from International Trade
Samuelson, P. A. (1939) · The Canadian Journal of Economics and Political Science · doi:10.2307/137133 · Cited by 293
Jones, C. I. (2000) · Cited by 9
Cited by
Railroads of the Raj: Estimating the Impact of Transportation Infrastructure
Donaldson, D. (2018) · American Economic Review · doi:10.1257/aer.20101199 · Cited by 1,634
Trade Liberalization and Poverty: The Evidence So Far
Winters, L. A., McCulloch, N., & McKay, A. (2004) · Journal of Economic Literature · doi:10.1257/002205104773558056 · Cited by 1,085
Samargandi, N., Fidrmuc, J., & Ghosh, S. (2015) · World Development · doi:10.1016/j.worlddev.2014.11.010 · Cited by 647
Trade Liberalisation and Economic Performance: An Overview
Winters, L. A. (2004) · The Economic Journal · doi:10.1111/j.0013-0133.2004.00185.x · Cited by 459
Court, J., & Maxwell, S. (2005) · Journal of International Development · doi:10.1002/jid.1234 · Cited by 54
Metadata
- Authors
- Irwin, D., & Tervio, M.
- Venue
- National Bureau of Economic Research
- Publisher
- National Bureau of Economic Research
- Published
- 2000-06
- OpenAlex
- W2169030761
- Cited by
- 455
- References
- 10
- 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: Does Trade Raise Income? Evidence from the Twentieth Century. https://app.cochat.ai/papers/10.3386/w7745
- The paper
- Irwin, D., & Tervio, M. (2000). Does Trade Raise Income? Evidence from the Twentieth Century. National Bureau of Economic Research. https://doi.org/10.3386/w7745
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.