The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Trade and Productivity
Open accessAbstract
We find that international trade has an economically significant and statistically robust positive effect on productivity. Our trade measure is imports plus exports relative to purchasing power parity GDP (real openness), which we argue is preferable on theoretical grounds to the nominal measure conventionally used. We also find a significantly positive aggregate scale effect. Our estimates control for proxies of institutional quality as well as geography and take into account the endogeneity of trade and institutional quality. Our analysis of the channels through which trade and scale affect productivity yields that they work through total factor productivity.
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
Instrumental Variables Regression with Weak Instruments
Staiger, D., & Stock, J. (1994) · doi:10.3386/t0151 · Cited by 5,302
Testing for Weak Instruments in Linear IV Regression
Stock, J., & Yogo, M. (2002) · doi:10.3386/t0284 · Cited by 1,842
Cited by
Trade, Foreign Investment, and Industrial Policy for Developing Countries*
Harrison, A., & Rodríguez-Clare, A. (2010) · Handbook of Development Economics · doi:10.1016/b978-0-444-52944-2.00001-x · Cited by 595
Explaining the diffusion of renewable energy technology in developing countries
Pfeiffer, B., & Mulder, P. (2013) · Energy Economics · doi:10.1016/j.eneco.2013.07.005 · Cited by 317
Financial Frictions and the Great Productivity Slowdown
Duval, R., Hong, G. H., & Timmer, Y. (2020) · The Review of Financial Studies · doi:10.1093/rfs/hhz063 · Cited by 180
BIGGER IS BETTER: MARKET SIZE, DEMAND ELASTICITY, AND INNOVATION*
Desmet, K., & Parente, S. L. (2010) · International Economic Review · doi:10.1111/j.1468-2354.2010.00581.x · Cited by 133
Financialization and the Labor Share of Income
Özdemir, O. (2019) · Review of Economic Perspectives · doi:10.2478/revecp-2019-0015 · Cited by 7
Metadata
- Authors
- Alcala, F., & Ciccone, A.
- Venue
- The Quarterly Journal of Economics
- Publisher
- Oxford University Press (OUP)
- Published
- 2004-05-01
- Volume
- 119
- Issue
- 2
- Pages
- 613-646
- ISSN
- 0033-5533 (ISSN-L)
- 1531-4650
- OpenAlex
- W2110373102
- Cited by
- 949
- References
- 2
- FWCI
- 84.43
- Type
- journal article
- 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
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.