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Reconciling International Trade Data

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  • Shaar, Karam

Abstract

International trade data are in substantial measurement error. Data reported by some countries mean next to nothing. This study develops an index of trade data quality based on the consistency between a country’s claims on bilateral trade and the corresponding claims of the rest of the world from 1962 to 2014. The index takes the relative significance of each partner and data availability into account. We produce a more reliable set of bilateral and total international trade data using the index. Findings include (a) the actual exports of most countries with low data quality are considerably higher than self-reported. (b) Corruption and poor data quality are strongly correlated. (c) Global trade data quality has been deteriorating in the past three decades even though more countries have improved their data quality over time. This is because low-quality reporters have recently increased their share in global trade. (d) China tends to under-report exports and over-report imports. (e) There is only a trivial difference between US self-reported and reconciled data. The same applies to all high-quality reporters. We recommend future studies on trade use our reconciled data.

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  • Shaar, Karam, 2017. "Reconciling International Trade Data," MPRA Paper 81572, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:81572
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    1. Calderon, Cesar & Chong, Alberto & Stein, Ernesto, 2007. "Trade intensity and business cycle synchronization: Are developing countries any different?," Journal of International Economics, Elsevier, vol. 71(1), pages 2-21, March.
    2. Ferrantino, Michael J. & Liu, Xuepeng & Wang, Zhi, 2012. "Evasion behaviors of exporters and importers: Evidence from the U.S.–China trade data discrepancy," Journal of International Economics, Elsevier, vol. 86(1), pages 141-157.
    3. Elhanan Helpman & Marc Melitz & Yona Rubinstein, 2008. "Estimating Trade Flows: Trading Partners and Trading Volumes," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 123(2), pages 441-487.
    4. Basim Makhoul & Samuel Otterstrom, 1998. "Exploring the accuracy of international trade statistics," Applied Economics, Taylor & Francis Journals, vol. 30(12), pages 1603-1616.
    5. Raymond Fisman & Shang-Jin Wei, 2004. "Tax Rates and Tax Evasion: Evidence from "Missing Imports" in China," Journal of Political Economy, University of Chicago Press, vol. 112(2), pages 471-500, April.
    6. Yeats, Alexander J, 1990. "On the Accuracy of Economic Observations: Do Sub-Saharan Trade Statistics Mean Anything?," The World Bank Economic Review, World Bank, vol. 4(2), pages 135-156, May.
    7. Gehlhar, Mark J., 1996. "Reconciling Bilateral Trade Data For Use In Gtap," Technical Papers 28714, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    8. Marc J. Melitz, 2003. "The Impact of Trade on Intra-Industry Reallocations and Aggregate Industry Productivity," Econometrica, Econometric Society, vol. 71(6), pages 1695-1725, November.
    9. Gehlhar, Mark, 1996. "Reconciling Bilateral Trade Data for Use in GTAP," GTAP Technical Papers 313, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
    10. Mohsen Bahmani-Oskooee & Scott Hegerty & Hanafiah Harvey, 2013. "Exchange-rate sensitivity of commodity trade flows: Does the choice of reporting country affect the empirical estimates?," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 22(8), pages 1183-1213, December.
    11. Wang, Zhi & Gehlhar, Mark & Yao, Shunli, 2010. "A globally consistent framework for reliability-based trade statistics reconciliation in the presence of an entrepôt," China Economic Review, Elsevier, vol. 21(1), pages 161-189, March.
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    Cited by:

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    2. Peter B. Dixon & Maureen Rimmer & Nhi Tran, 2019. "GTAP-MVH, A Model for Analysing the Worldwide Effects of Trade Policies in the Motor Vehicle Sector: Theory and Data," Centre of Policy Studies/IMPACT Centre Working Papers g-290, Victoria University, Centre of Policy Studies/IMPACT Centre.
    3. Caravella, Serenella & Crespi, Francesco & Cucignatto, Giacomo & Guarascio, Dario, 2023. "Technological Sovereignty and Strategic Dependencies: The case of the Photovoltaic Supply Chain," GLO Discussion Paper Series 1330, Global Labor Organization (GLO).
    4. Elina Bryngemark & Patrik Söderholm, 2022. "Green industrial policies and domestic production of biofuels: an econometric analysis of OECD countries," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 24(2), pages 225-261, April.

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    More about this item

    Keywords

    Trade data quality; data discrepancy; trade data reconciliation;
    All these keywords.

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • F1 - International Economics - - Trade

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