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The Real-Time Impact of the War on Russian Imports: A Synthetic Control Method Approach

Published online by Cambridge University Press:  17 May 2024

Michele Mancini ,
Francesco Paolo Conteduca Open the ORCID record for Francesco Paolo Conteduca [Opens in a new window]  and
Alessandro Borin
Michele Mancini*
Affiliation:
Banca d'Italia, Roma 00184, Italy
Francesco Paolo Conteduca
Affiliation:
Banca d'Italia, Roma 00184, Italy
Alessandro Borin
Affiliation:
Banca d'Italia, Roma 00184, Italy
*
Corresponding author: Michele Mancini; Email: [email protected]
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Abstract

In response to the invasion of Ukraine, the EU and most other advanced economies imposed extensive sanctions on Russia, intending to harm its production capabilities and hinder its economic activities by restricting its access to international trade and financial markets. This paper develops an empirical framework based on the synthetic control method to assess the impact of the war and the following sanctions on bilateral and sectoral exports to Russia almost in real time. The war and the following sanctions reduced aggregate exports to Russia by a third between March and December 2022, with the effects being stronger for sanctioning countries than for non-sanctioning ones, albeit with substantial country-level heterogeneity within each group. Exports to Russia in high-tech sectors – relatively more targeted by trade sanctions – have been disproportionately affected.

Keywords

synthetic controlRussiaSanctionsInternational tradeWar

JEL classification

F51: International Conflicts • Negotiations • Sanctions C54: Quantitative Policy Modeling F13: Trade Policy • International Trade Organizations
Type
Original Article
Information
World Trade Review , Volume 23 , Issue 4 , October 2024 , pp. 433 - 447
Copyright
Copyright © The Author(s), 2024. Published by Cambridge University Press on behalf of The Secretariat of the World Trade Organization

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Footnotes

†

Bank of Italy. The authors are grateful to Rinalds Gerinovics for his excellent research assistance and thank Riccardo Cristadoro and Giovanni Veronese, the editor Hylke Vandenbussche, and two anonymous referees for their useful comments and suggestions. The views expressed in this paper are solely those of the authors and do not necessarily reflect those of the Bank of Italy. The usual disclaimer applies.

References

Abadie, A. (2021) ‘Using Synthetic Controls: Feasibility, Data Requirements, and Methodological Aspects’, Journal of Economic Literature 59, 391–425.CrossRefGoogle Scholar
Abadie, A., and Gardeazabal, J. (2003) ‘The Economic Costs of Conflict: A Case Study of the Basque Country’, American Economic Review 93, 113–132.CrossRefGoogle Scholar
Abadie, A., Diamond, A., and Hainmueller, J. (2010) ‘Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California's Tobacco Control Program’, Journal of the American Statistical Association 105, 493–505.CrossRefGoogle Scholar
Abadie, A., Diamond, A., and Hainmueller, J. (2015) ‘Comparative Politics and the Synthetic Control Method’, American Journal of Political Science 59, 495–510.CrossRefGoogle Scholar
Adarov, A. (2023) ‘Eurasian Economic Integration: Impact Evaluation Using the Gravity Model and the Synthetic Control Methods’, Review of World Economics 159(2), 467–504.CrossRefGoogle Scholar
Addessi, W., Biagi, B., and Brandano, M.G. (2019) ‘Evaluating the Effect of the Introduction of the Euro on Tourist Flows: A Synthetic Control Approach’, The World Economy 42(5), 1554–1575.CrossRefGoogle Scholar
Athey, S., and Imbens, G.W. (2017) ‘The State of Applied Econometrics: Causality and Policy Evaluation’, Journal of Economic Perspectives 31, 3–32.CrossRefGoogle Scholar
Baier, S.L., and Bergstrand, J.H. (2009) ‘Estimating the Effects of Free Trade Agreements on International Trade Flows Using Matching Econometrics’, Journal of International Economics 77(1), 63–76.CrossRefGoogle Scholar
Belotti, F., Borin, A., and Mancini, M. (2021) ‘icio: Economic Analysis with Intercountry Input–Output Tables’, The Stata Journal 21(3), 708–755.CrossRefGoogle Scholar
Besedeš, T., Goldbach, S., and Nitsch, V. (2017) ‘You're Banned! The Effect of Sanctions on German Cross-Border Financial Flows’, Economic Policy 32(90), 263–318.CrossRefGoogle Scholar
Billmeier, A., and Nannicini, T. (2013) ‘Assessing Economic Liberalization Episodes: A Synthetic Control Approach’, Review of Economics and Statistics 95(3), 983–1001.CrossRefGoogle Scholar
Borin, A., Conteduca, F.P., Di Stefano, E., Gunnella, V., Mancini, M., and Panon, L. (2023a) ‘Trade Decoupling from Russia’, International Economics 175, 25–44.CrossRefGoogle Scholar
Borin, A., Cappadona, G., Conteduca, F.P., Hilgenstock, B., Itskhoki, O., Mancini, M., Mironov, M., and Ribakova, E. (2023b) The Impact of EU Sanctions on Russian Imports. VoxEU column, 24 May 2023.Google Scholar
Boungou, W., and Yatié, A. (2022) ‘The Impact of the Ukraine–Russia War on World Stock Market Returns’, Economics Letters 204, 110516.CrossRefGoogle Scholar
Bown, C.P. (2022) ‘Russia's War on Ukraine: A Sanctions Timeline’, Peterson Institute for International Economics, www.piie.com/blogs/realtime-economic-issues-watch/russias-war-ukraine-sanctions-timelineGoogle Scholar
Breinlich, H., Leromain, E., Novy, D., and Sampson, T. (2020) ‘Voting with Their Money: Brexit and Outward Investment by UK Firms’, European Economic Review 124, 103400.CrossRefGoogle Scholar
Broda, C., and Weinstein, D.W. (2004) ‘Variety Growth and World Welfare’, American Economic Review 94(2), 139–144.CrossRefGoogle Scholar
Chupilkin, M., Javorcik, B., and Plekhanov, A. (2023) ‘The Eurasian Roundabout: Trade Flows Into Russia Through the Caucasus and Central Asia (February 23, 2023)’, EBRD Working Paper No. 276.Google Scholar
Coe, T., and Helpman, E. (1995) ‘International R&D Spillovers’, European Economic Review 39, 859–887.CrossRefGoogle Scholar
De Benedictis, L., and Taglioni, D. (2011) ‘The Gravity Model in International Trade’, in De Benedictis, L. and Salvatici, L. (eds.), The Trade Impact of European Union Preferential Policies. Berlin, Heidelberg: Springer, pp. 55–90.CrossRefGoogle Scholar
Douch, M., and Edwards, T.H. (2022) ‘The Bilateral Trade Effects of Announcement Shocks: Brexit as a Natural Field Experiment’, Journal of Applied Econometrics 37(2), 305–329.CrossRefGoogle Scholar
Ferriani, F., and Gazzani, A.G. (2023) ‘). The Impact of the War in Ukraine on Energy Prices: Consequences for Firms’ Financial Performance’, International Economics 274, 221–230.CrossRefGoogle Scholar
Gharehgozli, O. (2017) ‘An Estimation of the Economic Cost of Recent Sanctions on Iran Using the Synthetic Control Method’, Economics Letters 157, 141–144.CrossRefGoogle Scholar
Gilchrist, D., Emery, T., Garoupa, N., and Spruk, R. (2022) ‘Synthetic Control Method: A Tool for Comparative Case Studies in Economic History’, Journal of Economic Surveys 37(2), 409–445.CrossRefGoogle Scholar
Grzegorczyk, M., Marcus, J.S., Poitiers, N., and Weil, P. (2022) The Decoupling of Russia: High-Tech Goods and Components. Bruegel-Blogs, https://link.gale.com/apps/doc/A698791904/AONE?u=anon~cab18c60&sid=googleScholar&xid=9aa7a475.Google Scholar
Gurevich, T., and Herman, P. (2018) ‘The Dynamic Gravity Dataset: 1948–2016’, USITC Working Paper 2018-02-A. Available at US International Trade Commission, www.usitc.gov/publications/332/working_papers/gurevich_herman_2018_dynamic_gravity_dataset_201802a.pdf.Google Scholar
Haidar, J.I. (2017) ‘Sanctions and Export Deflection: Evidence from Iran’, Economic Policy 32(90), 319–355.CrossRefGoogle Scholar
Head, K., and Mayer, T. (2014) ‘Gravity equations: Workhorse, Toolkit, and Cookbook’, in Gopinath, G., Helpman, E., and Rogoff, K. (eds.), Handbook of International Economics, Vol. 4. Elsevier, Chapter 3, pp. 131–195.Google Scholar
Lawrence, R.Z., and Weinstein, D.E. (1999) ‘Trade and Growth: Import-Led or Export-led? Evidence from Japan and Korea’, National Bureau of Economic Research Working Paper, 7264.CrossRefGoogle Scholar
Mahlstein, K., McDaniel, C., Schropp, S., and Tsigas, M. (2022) ‘Estimating the Economic Effects of Sanctions on Russia: An Allied Trade Embargo’, The World Economy 45(11), 3344–3383.CrossRefGoogle Scholar
Parast, L., Hunt, P., Griffin, B.A., and Powell, D. (2020) ‘When is a Match Sufficient? A Score-Based Balance Metric for the Synthetic Control Method’, Journal of Causal Inference 8(1), 209–228.CrossRefGoogle Scholar
Saia, A. (2017) ‘Choosing the Open Sea: The Cost to the UK of Staying Out of the Euro’, Journal of International Economics 108, 82–98.CrossRefGoogle Scholar
Simola, H., and Röyskö, A. (2023) ‘Russia's Technology Imports from East Asia’, Asian Economic Papers 22(1), 1–10.CrossRefGoogle Scholar
Sonnenfeld, J., Tian, S., Sokolowski, F., Wyrebkowski, M., and Kasprowicz, M. (2022) Business Retreats and Sanctions are Crippling the Russian Economy, available at SSRN 4167193.CrossRefGoogle Scholar
Steinbach, S. (2023) ‘The Russia–Ukraine War and Global Trade Reallocations’, Economics Letters 226, 111075.CrossRefGoogle Scholar
Xu, Y. (2017) ‘Generalized Synthetic Control Method: Causal Inference with Interactive Fixed Effects Models’, Political Analysis 25(1), 57–76.CrossRefGoogle Scholar