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Impact of the Indian “demonetization” policy on its export performance

Author

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  • Bidisha Lahiri

    (Oklahoma State University)

  • Anurag Deb

    (Oklahoma State University)

Abstract

We examine the export impact of the Indian government’s surprise move to invalidate 86% of existing currencies overnight. This ‘demonetization' was undertaken in an attempt to eliminate illegal and untaxed transactions, and to make the financial system more reliant on electronic transactions. This policy was implemented within a production structure that significantly depended on cash and informal credit sources, and a banking infrastructure that did not reach all corners of the economy. Due to the unexpectedness of this policy, the impact is predicted to have been stronger in the short run than the long run as the economy adjusted to the new system. The synthetic control method (SCM) achieves this, and with its ability to accommodate scenarios where the policy impact may vary across post-treatment periods, provides a suitable tool for our analysis. Additionally the unexpectedness of the policy circumvents anticipation issues making the scenario an ideal candidate for SCM analysis. No long-term improvements though significant short-term losses in exports values due to this policy are uncovered that are robust across alternate specifications and estimation methods.

Suggested Citation

  • Bidisha Lahiri & Anurag Deb, 2022. "Impact of the Indian “demonetization” policy on its export performance," Empirical Economics, Springer, vol. 62(6), pages 2799-2825, June.
  • Handle: RePEc:spr:empeco:v:62:y:2022:i:6:d:10.1007_s00181-021-02126-z
    DOI: 10.1007/s00181-021-02126-z
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    1. Karmakar, Sudipto & Narayanan, Abhinav, 2020. "Do households care about cash? Exploring the heterogeneous effects of India's demonetization," Journal of Asian Economics, Elsevier, vol. 69(C).
    2. Munasib, Abdul & Rickman, Dan S., 2015. "Regional economic impacts of the shale gas and tight oil boom: A synthetic control analysis," Regional Science and Urban Economics, Elsevier, vol. 50(C), pages 1-17.
    3. Cerulli, Giovanni, 2019. "A flexible Synthetic Control Method for modeling policy evaluation," Economics Letters, Elsevier, vol. 182(C), pages 40-44.
    4. Nicole Aregger & Jessica Leutert, 2017. "Policy Evaluation by the Synthetic Control Approach: The Case of the Swiss Franc," Working Papers 17.02, Swiss National Bank, Study Center Gerzensee.
    5. Dmitry Arkhangelsky & Susan Athey & David A. Hirshberg & Guido W. Imbens & Stefan Wager, 2021. "Synthetic Difference-in-Differences," American Economic Review, American Economic Association, vol. 111(12), pages 4088-4118, December.
    6. Bibek Adhikari & Romain Duval & Bingjie Hu & Prakash Loungani, 2018. "Can Reform Waves Turn the Tide? Some Case Studies using the Synthetic Control Method," Open Economies Review, Springer, vol. 29(4), pages 879-910, September.
    7. Thomas C. Buchmueller & John DiNardo & Robert G. Valletta, 2011. "The Effect of an Employer Health Insurance Mandate on Health Insurance Coverage and the Demand for Labor: Evidence from Hawaii," American Economic Journal: Economic Policy, American Economic Association, vol. 3(4), pages 25-51, November.
    8. Benjamin Born & Gernot J Müller & Moritz Schularick & Petr Sedláček, 2019. "The Costs of Economic Nationalism: Evidence from the Brexit Experiment," The Economic Journal, Royal Economic Society, vol. 129(623), pages 2722-2744.
    9. Sarah Bohn & Magnus Lofstrom & Steven Raphael, 2014. "Did the 2007 Legal Arizona Workers Act Reduce the State's Unauthorized Immigrant Population?," The Review of Economics and Statistics, MIT Press, vol. 96(2), pages 258-269, May.
    10. Barlow, Pepita & McKee, Martin & Basu, Sanjay & Stuckler, David, 2017. "Impact of the North American free trade agreement on high-fructose corn syrup supply in Canada: a natural experiment using synthetic control methods," LSE Research Online Documents on Economics 102665, London School of Economics and Political Science, LSE Library.
    11. Amartya Lahiri, 2020. "The Great Indian Demonetization," Journal of Economic Perspectives, American Economic Association, vol. 34(1), pages 55-74, Winter.
    12. Alberto Abadie & Alexis Diamond & Jens Hainmueller, 2015. "Comparative Politics and the Synthetic Control Method," American Journal of Political Science, John Wiley & Sons, vol. 59(2), pages 495-510, February.
    13. Alberto Abadie & Javier Gardeazabal, 2003. "The Economic Costs of Conflict: A Case Study of the Basque Country," American Economic Review, American Economic Association, vol. 93(1), pages 113-132, March.
    14. Mrs. Swarnali A Hannan, 2017. "The Impact of Trade Agreements in Latin America using the Synthetic Control Method," IMF Working Papers 2017/045, International Monetary Fund.
    15. Tommaso Nannicini & Andreas Billmeier, 2011. "Economies in Transition: How Important Is Trade Openness for Growth?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 73(3), pages 287-314, June.
    16. Nikolay Doudchenko & Guido W. Imbens, 2016. "Balancing, Regression, Difference-In-Differences and Synthetic Control Methods: A Synthesis," NBER Working Papers 22791, National Bureau of Economic Research, Inc.
    17. repec:oup:econjl:v:129:y:2019:i:10:p:2722-2744. is not listed on IDEAS
    18. Andreas Billmeier & Tommaso Nannicini, 2013. "Assessing Economic Liberalization Episodes: A Synthetic Control Approach," The Review of Economics and Statistics, MIT Press, vol. 95(3), pages 983-1001, July.
    19. Chamon, Marcos & Garcia, Márcio & Souza, Laura, 2017. "FX interventions in Brazil: A synthetic control approach," Journal of International Economics, Elsevier, vol. 108(C), pages 157-168.
    20. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    21. Xu, Yiqing, 2017. "Generalized Synthetic Control Method: Causal Inference with Interactive Fixed Effects Models," Political Analysis, Cambridge University Press, vol. 25(1), pages 57-76, January.
    22. Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2010. "Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 493-505.
    23. Ebell, Monique & Hurst, Ian & Warren, James, 2016. "Modelling the long-run economic impact of leaving the European Union," Economic Modelling, Elsevier, vol. 59(C), pages 196-209.
    24. Gharehgozli, Orkideh, 2017. "An estimation of the economic cost of recent sanctions on Iran using the synthetic control method," Economics Letters, Elsevier, vol. 157(C), pages 141-144.
    25. Amr Hosny, 2012. "Algeria’s Trade with GAFTA Countries: A Synthetic Control Approach," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 19(1), pages 35-42, September.
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    More about this item

    Keywords

    Exports; Currency invalidation; Synthetic control; Counterfactual;
    All these keywords.

    JEL classification:

    • E02 - Macroeconomics and Monetary Economics - - General - - - Institutions and the Macroeconomy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade

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