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Income differences and input-output structure

Author

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  • Fadinger, Harald
  • Ghiglino, Christian
  • Teteryatnikova, Mariya

Abstract

We consider a multi-sector general equilibrium model with IO linkages, sector-specific productivities and tax rates. Using tools from network theory, we investigate how the IO structure interacts with productivities and taxes in the determination of aggregate income. We show that aggregate income is a simple function of the first and second moments of the distribution of the IO multipliers, sectoral productivities and sectoral tax rates. We then estimate the parameters of the model to fit their joint empirical distribution. Poor countries have more extreme distributions of IO multipliers than rich economies: there are a few high-multiplier sectors, while most sectors have very low multipliers; by contrast, rich countries have more sectors with intermediate multipliers. Moreover, the correlations of these with productivities and tax rates are positive in poor countries, while being negative in rich ones. The estimated model predicts cross-country income differences extremely well, also out-of-sample. Finally, we perform a number of counterfactuals and compute optimal tax rates.

Suggested Citation

  • Fadinger, Harald & Ghiglino, Christian & Teteryatnikova, Mariya, 2015. "Income differences and input-output structure," Working Papers 15-11, University of Mannheim, Department of Economics.
  • Handle: RePEc:mnh:wpaper:39627
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    2. Vasco M. Carvalho & Alireza Tahbaz-Salehi, 2019. "Production Networks: A Primer," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 635-663, August.
    3. Johannes Boehm & Ezra Oberfield, 2020. "Misallocation in the Market for Inputs: Enforcement and the Organization of Production," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(4), pages 2007-2058.
    4. 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.
    5. Sophie Osotimehin & Latchezar Popov, 2018. "Misallocation and intersectoral linkages," 2018 Meeting Papers 561, Society for Economic Dynamics.
    6. 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.
    7. Norbu, Nyingtob Pema & Tateno, Yusuke & Bolesta, Andrzej, 2021. "Structural transformation and production linkages in Asia-Pacific least developed countries: An input-output analysis," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 510-524.
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    9. repec:hal:wpspec:info:hdl:2441/3lt9cev6r09aqpj1a1248i83gg is not listed on IDEAS
    10. Dungey, Mardi & Volkov, Vladimir, 2018. "R&D and wholesale trade are critical to the economy: Identifying dominant sectors from economic networks," Economics Letters, Elsevier, vol. 162(C), pages 81-85.
    11. Gloria, José & Miranda-Pinto, Jorge & Fleming-Muñoz, David, 2024. "Production network diversification and economic development," Journal of Economic Behavior & Organization, Elsevier, vol. 218(C), pages 281-295.
    12. Daron Acemoglu & Pablo D. Azar, 2020. "Endogenous Production Networks," Econometrica, Econometric Society, vol. 88(1), pages 33-82, January.
    13. repec:spo:wpmain:info:hdl:2441/3lt9cev6r09aqpj1a1248i83gg is not listed on IDEAS
    14. 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.
    15. Pablo D. Azar, 2021. "Moore’s Law and Economic Growth," Staff Reports 970, Federal Reserve Bank of New York.
    16. Mercer-Blackman, Valerie & Mariasingham, Joseph & Garay, Krizia, 2018. "Using Input-output Links to Measure the Potential for Service-Led Development in Formerly Transition Economies," Conference papers 332983, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    17. Magalhães, Manuela & Afonso, Óscar, 2017. "A multi-sector growth model with technology diffusion and networks," Research Policy, Elsevier, vol. 46(7), pages 1340-1359.
    18. Jorge Miranda Pinto, 2021. "Production Network Structure, Service Share, and Aggregate Volatility," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 39, pages 146-173, January.
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    20. Julio Leal, 2018. "Key sectors in Mexico's economic development: a perspective from input-output linkages with sector-specific distortions," 2018 Meeting Papers 571, Society for Economic Dynamics.

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    More about this item

    Keywords

    input-output structure ; networks ; productivity ; cross-country income differences;
    All these keywords.

    JEL classification:

    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation

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