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Testing Self-Selection And Learning By Exporting Hypotheses. The Case Of Romania

Author

Listed:
  • Moisă ALTĂR

    (The Bucharest University of Economic Studies The Romanian - American University– FINSYS)

  • Ana-Maria CAZACU

    (The Bucharest University of Economics Studies)

Abstract

This paper provides empirical evidence of export-productivity link, using a comprehensive set of data on Romanian firms activating in ten business sectors. By using the semi-parametric estimation technique developed by Levinsohn and Petrin (2003) to estimate Total Factor Productivity (TFP)we find that exporters display a productivity advantage compared to their domestic counterparts. We seek to distinguish between self-selection and learning by exporting through matching techniques and we find that the most productive firms self-select in activities in international markets, including importing. Learning effects (when TFP is used as outcome) are present on a narrow sample of companies, although in most of the cases are positive and significant when using labour productivity. Stronger evidence for positive effects of international trade is found for importers, which suggests a possible learning by importing phenomenon manifested in Romanian.

Suggested Citation

  • Moisă ALTĂR & Ana-Maria CAZACU, 2016. "Testing Self-Selection And Learning By Exporting Hypotheses. The Case Of Romania," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 50(1), pages 5-22.
  • Handle: RePEc:cys:ecocyb:v:50:y:2016:i:1:p:5-22
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    References listed on IDEAS

    as
    1. Carlo Altomonte & Gabor Békés, 2009. "Trade Complexity and Productivity," KITeS Working Papers 016, KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy, revised Jul 2009.
    2. Berman, Nicolas & Berthou, Antoine & Héricourt, Jérôme, 2015. "Export dynamics and sales at home," Journal of International Economics, Elsevier, vol. 96(2), pages 298-310.
    3. Andrew Bernard & Joachim Wagner, 1997. "Exports and success in German manufacturing," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 133(1), pages 134-157, March.
    4. Jan De Loecker, 2013. "Detecting Learning by Exporting," American Economic Journal: Microeconomics, American Economic Association, vol. 5(3), pages 1-21, August.
    5. Dhyne, Emmanuel & Berthou, Antoine & Soares, Ana Cristina & Bugamelli, Matteo & Cazacu, Ana-Maria & Lalinsky, Tibor & Meriküll, Jaanika & Harasztosi, Péter & Demian, Calin-Vlad & Oropallo, Filippo, 2015. "Assessing European firms' exports and productivity distributions: the CompNet trade module," Working Paper Series 1788, European Central Bank.
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    18. repec:hal:wpspec:info:hdl:2441/10147 is not listed on IDEAS
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    20. repec:hal:spmain:info:hdl:2441/10147 is not listed on IDEAS
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    More about this item

    Keywords

    endogeneity; selection bias; TFP; semi-parametric models; matching techniques; propensity score;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • F10 - International Economics - - Trade - - - General
    • F23 - International Economics - - International Factor Movements and International Business - - - Multinational Firms; International Business
    • F61 - International Economics - - Economic Impacts of Globalization - - - Microeconomic Impacts

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