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Distortions and the Structure of the World Economy

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  • Lorenzo Caliendo
  • Fernando Parro
  • Aleh Tsyvinski

Abstract

We develop a model of the world economy as input-output relationships subject to distortions. We then propose a methodology to solve the identification problem, common to the literature on misallocation in input-output relationships, of separating sectoral TFPs from the sectoral distortions. Using both the input shares and the consumption shares within the CES production and CES consumption structure we derive simple closed-form sufficient statistics for the sectoral distortions and for the sectoral TFPs. We then derive a closed-form solution of the elasticities of each entry in the world input-output matrix to distortions. We compute a total of more than half a million internal distortions and TFPs and document significant heterogeneity of those across countries and sectors. We then calculate the whole matrix of about two million elasticities to distortions and TFPs of the input-output matrix of the world economy. We show that internal (within a given country) distortions significantly affect the structure of the economy of that country and have sizeable cross effects on the input-output matrix of other countries. We then find that the world GDP elasticity to changes in internal distortions is an order of magnitude larger than that of the external distortions.

Suggested Citation

  • Lorenzo Caliendo & Fernando Parro & Aleh Tsyvinski, 2017. "Distortions and the Structure of the World Economy," NBER Working Papers 23332, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:23332
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    Cited by:

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    2. Morrow, Peter M. & Trefler, Daniel, 2022. "How do endowments determine trade? quantifying the output mix, factor price, and skill-biased technology channels," Journal of International Economics, Elsevier, vol. 137(C).
    3. Benny Kleinman & Ernest Liu & Stephen J. Redding, 2024. "International Friends and Enemies," American Economic Journal: Macroeconomics, American Economic Association, vol. 16(4), pages 350-385, October.
    4. David Rezza Baqaee & Emmanuel Farhi, 2020. "Productivity and Misallocation in General Equilibrium," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(1), pages 105-163.
    5. Manova, Kalina & Berthou, Antoine & Sandoz, Charlotte & Chung, John Jong-Hyun, 2019. "Trade, Productivity and (Mis)allocation," CEPR Discussion Papers 14203, C.E.P.R. Discussion Papers.
    6. Sophie Osotimehin & Latchezar Popov, 2018. "Misallocation and intersectoral linkages," 2018 Meeting Papers 561, Society for Economic Dynamics.
    7. Alonso de Gortari, 2019. "Disentangling Global Value Chains," NBER Working Papers 25868, National Bureau of Economic Research, Inc.
    8. Robert Zymek & Alejandro Cunat, 2017. "International Value-Added Linkages in Development Accounting," Edinburgh School of Economics Discussion Paper Series 281, Edinburgh School of Economics, University of Edinburgh.
    9. Farrokhi, Farid & Lashkaripour, Ahmad & Pellegrina, Heitor S., 2024. "Trade and technology adoption in distorted economies," Journal of International Economics, Elsevier, vol. 150(C).
    10. Haishi Li, 2023. "Multinational Production and Global Shock Propagation during the Great Recession," CESifo Working Paper Series 10349, CESifo.
    11. Yoshiyuki ARATA, 2020. "The Role of Granularity in the Variance and Tail Probability of Aggregate Output," Discussion papers 20027, Research Institute of Economy, Trade and Industry (RIETI).
    12. Antrà s, Pol & Chor, Davin, 2021. "Global Value Chains," CEPR Discussion Papers 15908, C.E.P.R. Discussion Papers.
    13. Piyush Panigrahi, 2021. "Endogenous Spatial Production Networks: Quantitative Implications for Trade and Productivity," CESifo Working Paper Series 9466, CESifo.
    14. Gräbner, Claudius & Hafele, Jakob, 2020. "The emergence of core-periphery structures in the European Union: A complexity perspective," ZOE Discussion Papers 6, ZOE. institute for future-fit economies, Bonn.
    15. Daniel Lind, 2022. "The China Effect on Manufacturing Productivity in the United States and Other High-income Countries," International Productivity Monitor, Centre for the Study of Living Standards, vol. 42, pages 33-62, Spring.
    16. Alonso de Gortari, 2018. "Disentangling Global Value Chains," 2018 Meeting Papers 139, Society for Economic Dynamics.
    17. Daron Acemoglu & Pablo D. Azar, 2020. "Endogenous Production Networks," Econometrica, Econometric Society, vol. 88(1), pages 33-82, January.
    18. Sven Blank & Peter H. Egger, 2022. "On the sensitivity of trade costs to services trade restrictions†," The World Economy, Wiley Blackwell, vol. 45(3), pages 592-607, March.
    19. Tao Sun, 2024. "Systemic importance of financial services and insurance sectors: a world input–output network analysis," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 49(1), pages 63-96, January.
    20. Sophie Osotimehin & Latchezar Popov, 2023. "Misallocation and Intersectoral linkages," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 51, pages 177-198, December.
    21. Pablo D. Azar, 2021. "Moore’s Law and Economic Growth," Staff Reports 970, Federal Reserve Bank of New York.
    22. Lin Shao & Rongsheng Tang, 2021. "Allocative Efficiency and Aggregate Productivity Growth in Canada and the United States," Staff Working Papers 21-1, Bank of Canada.
    23. Dazhong Cheng & Zhiguo Xiao, 2021. "Producer Services and Productivity: A Global Value Chain Perspective," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(2), pages 418-444, June.
    24. Piyush Panigrahi, 2021. "Endogenous Spatial Production Networks: Quantitative Implications for Trade & Productivity," Cowles Foundation Discussion Papers 2314, Cowles Foundation for Research in Economics, Yale University.

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    More about this item

    JEL classification:

    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • E00 - Macroeconomics and Monetary Economics - - General - - - General
    • E1 - Macroeconomics and Monetary Economics - - General Aggregative Models
    • F00 - International Economics - - General - - - General
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development

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