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Export sophistication: A dynamic panel data approach

Author

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  • Evzen Kocenda

    (Institute of Economic Studies, Faculty of Social Sciences, Charles University in Prague, Czech Republic)

  • Karen Poghosyan

    (Central Bank of Armenia, Economic Research Department, Yerevan, Armenia)

Abstract

In this paper we analyze export sophistication based on a large panel dataset (2001?2015; 101 countries) and using various estimation algorithms. Using Monte Carlo simulations we evaluate the bias properties of estimators and show that GMM-type estimators outperform instrumentalvariable and fixed-effects estimators. Based on our analysis we document that GDP per capita and the size of the economy exhibit significant and positive effects on export sophistication; weak institutional quality exhibits negative effect. We also show that export sophistication is path-dependent and stable even during a major economic crisis, which is especially important for emerging and developing economies.

Suggested Citation

  • Evzen Kocenda & Karen Poghosyan, 2017. "Export sophistication: A dynamic panel data approach," KIER Working Papers 980 Classification-C52; C, Kyoto University, Institute of Economic Research.
    • Handle: RePEc:kyo:wpaper:980
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    Cited by:

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    3. Chletsos, Michael & Roupakias, Stelios, 2019. "Immigration and the economic performance of countries," MPRA Paper 94994, University Library of Munich, Germany.
    4. Rehman, Faheem Ur & Islam, Md. Monirul & Raza, Syed Ali, 2023. "Does disaggregate energy consumption matter to export sophistication and diversification in OECD countries? A robust panel model analysis," Renewable Energy, Elsevier, vol. 206(C), pages 274-284.
    5. Ridha Nouira & Sami Saafi, 2022. "What Drives the Relationship Between Export Upgrading and Growth? The Role of Human Capital, Institutional Quality, and Economic Development," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(3), pages 1944-1961, September.
    6. Baumöhl, Eduard & Iwasaki, Ichiro & Kočenda, Evžen, 2019. "Institutions and determinants of firm survival in European emerging markets," Journal of Corporate Finance, Elsevier, vol. 58(C), pages 431-453.
    7. Song Zhang & Chunlai Chen, 2020. "Does Outward Foreign Direct Investment Facilitate China's Export Upgrading?," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 28(5), pages 64-89, September.
    8. Burak Sencer Atasoy, 2021. "The determinants of export sophistication: Does digitalization matter?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5135-5159, October.
    9. Haini, Hazwan & Wei Loon, Pang & Li Li, Pang, 2023. "Can export diversification promote export upgrading? Evidence from an oil-dependent economy," Resources Policy, Elsevier, vol. 80(C).
    10. Semanur SoyyiÄŸit, 2019. "The Relationship Between Middle Income Trap and Structural Transformation: The Case of Selected Countries," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 11(4), pages 217-235, December.
    11. Evžen Kočenda & Karen Poghosyan, 2018. "Export Sophistication: A Dynamic Panel Data Approach," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(12), pages 2799-2814, September.
    12. Kai Zhang & Dongyuan Liu, 2023. "Does Green Finance Promote Export Sophistication? An Analysis of the Moderating Effect Based on Green Taxes," Sustainability, MDPI, vol. 15(10), pages 1-18, May.
    13. Karishma Banga, 2022. "Digital Technologies and Product Upgrading in Global Value Chains: Empirical Evidence from Indian Manufacturing Firms," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 34(1), pages 77-102, February.

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    More about this item

    Keywords

    international trade; export sophistication; emerging and developing economies; specialization; dynamic panel data; Monte Carlo simulation; panel data estimators;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • F31 - International Economics - - International Finance - - - Foreign Exchange

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