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Wages and productivity in Argentinian manufacturing: A structuralist and distributional firm-level analysis

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  • Gómez, María Celeste
  • Virgillito, Maria Enrica

Abstract

Wages and productivity represent two of the most relevant variables to consider in economic development. Given the low productivity levels that emerging countries reveal, the accumulation of productive capabilities and a narrower dispersion across sectors would enable emerging countries to overcome the middle-income trap. Yet, this positive trend in productivity should translate into higher wages. Thus, we pose the following questions applied to a middle-income trapped country: is there a link between labour productivity and wages in the Argentine manufacturing sector? Does it differ across techno-productive classes or wage levels? Which factors affect this nexus, considering premature deindustrialisation? Using a firm-level dataset from 2010 to 2016, we perform quantile regression estimates to evaluate the link between productivity and wages across the conditional wage distribution among manufacturing firms. Based on a structural analysis, we identify the differences in these elasticities at 2-ISIC code levels and across Pavitt taxonomies. Our results confirm a positive, but extremely low, pass-through between productivity and wages in the Argentinian manufacturing firms, different across sectors according to their techno-productive capabilities, robust under different empirical strategies.

Suggested Citation

  • Gómez, María Celeste & Virgillito, Maria Enrica, 2023. "Wages and productivity in Argentinian manufacturing: A structuralist and distributional firm-level analysis," GLO Discussion Paper Series 1247, Global Labor Organization (GLO).
    • Handle: RePEc:zbw:glodps:1247
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    1. Chris Freeman, 2019. "History, Co-Evolution and Economic Growth," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 28(1), pages 1-44.
    2. Alexis Dinno, 2015. "Nonparametric pairwise multiple comparisons in independent groups using Dunn's test," Stata Journal, StataCorp LP, vol. 15(1), pages 292-300, March.
    3. Munch, Jakob Roland & Skaksen, Jan Rose, 2008. "Human capital and wages in exporting firms," Journal of International Economics, Elsevier, vol. 75(2), pages 363-372, July.
    4. Acemoglu, Daron & Aghion, Philippe & Violante, Giovanni L., 2001. "Deunionization, technical change and inequality," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 55(1), pages 229-264, December.
    5. Maurizio, Roxana, 2014. "El impacto distributivo del salario mínimo en la Argentina, el Brasil, Chile y el Uruguay," Políticas Sociales 37208, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    6. Dosi, Giovanni, 1993. "Technological paradigms and technological trajectories : A suggested interpretation of the determinants and directions of technical change," Research Policy, Elsevier, vol. 22(2), pages 102-103, April.
    7. Arza, Valeria & López, Andrés, 2010. "Innovation and Productivity in the Argentine Manufacturing Sector," IDB Publications (Working Papers) 1974, Inter-American Development Bank.
    8. Syrquin, Moshe, 1988. "Patterns of structural change," Handbook of Development Economics, in: Hollis Chenery & T.N. Srinivasan (ed.), Handbook of Development Economics, edition 1, volume 1, chapter 7, pages 203-273, Elsevier.
    9. Juan M. Graña, 2018. "Labor market trends in a low and heterogeneous productivity country. Evidence from Argentina’s manufacturing," Brazilian Journal of Political Economy, Center of Political Economy, vol. 38(2), pages 358-376.
    10. Malerba, Franco, 2002. "Sectoral systems of innovation and production," Research Policy, Elsevier, vol. 31(2), pages 247-264, February.
    11. Daron Acemoglu & Alex Xi He & Daniel le Maire, 2022. "Eclipse of Rent-Sharing: The Effects of Managers' Business Education on Wages and the Labor Share in the US and Denmark," Working Papers 22-58, Center for Economic Studies, U.S. Census Bureau.
    12. Coad, Alex, 2010. "Investigating the exponential age distribution of firms," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 4, pages 1-30.
    13. Cyrille Schwellnus & Andreas Kappeler & Pierre-Alain Pionnier, 2017. "The Decoupling of Median Wages from Productivity in OECD Countries," International Productivity Monitor, Centre for the Study of Living Standards, vol. 32, pages 44-60, Spring.
    14. Juan Eduardo Santarcangelo, 2017. "Growth, Employment, and Income Distribution in Argentina, 1990-2010," Review of Radical Political Economics, Union for Radical Political Economics, vol. 49(2), pages 219-232, June.
    15. Pavitt, Keith, 1984. "Sectoral patterns of technical change: Towards a taxonomy and a theory," Research Policy, Elsevier, vol. 13(6), pages 343-373, December.
    16. Maria Celeste Gómez, 2020. "Elementos de poder sindical y sus efectos en la desigualdad salarial argentina: afiliación, negociación colectiva y conflictos laborales," Revista CIFE, Universidad Santo Tomás, vol. 22(36), pages 21-46, January.
    17. C. A. Hidalgo & B. Klinger & A. -L. Barabasi & R. Hausmann, 2007. "The Product Space Conditions the Development of Nations," Papers 0708.2090, arXiv.org.
    18. Pablo Acosta & Gabriel Montes-Rojas, 2014. "Informal Jobs and Trade Liberalisation in Argentina," Journal of Development Studies, Taylor & Francis Journals, vol. 50(8), pages 1104-1118, August.
    19. Inter-American Development Bank & Matteo Grazzi & Carlo Pietrobelli (ed.), 2016. "Firm Innovation and Productivity in Latin America and the Caribbean," Palgrave Macmillan Books, Palgrave Macmillan, number 978-1-349-58151-1, December.
    20. Giovanni Dosi, 2000. "Sources, Procedures, and Microeconomic Effects of Innovation," Chapters, in: Innovation, Organization and Economic Dynamics, chapter 2, pages 63-114, Edward Elgar Publishing.
    21. Cyrille Schwellnus & Andreas Kappeler & Pierre-Alain Pionnier, 2017. "Decoupling of wages from productivity: Macro-level facts," OECD Economics Department Working Papers 1373, OECD Publishing.
    22. Lorenzo Cresti & Maria Enrica Virgillito, 2022. "Strategic sectors and essential jobs: a new taxonomy based on employment multipliers," LEM Papers Series 2022/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
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    More about this item

    Keywords

    Gains from productivity; Development; Asymmetries;
    All these keywords.

    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • L6 - Industrial Organization - - Industry Studies: Manufacturing
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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