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Profit margins and business cycles in the Brazilian industry: a panel data study

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  • Marcos Lima
  • Marcelo Resende

Abstract

The paper investigates the relationship between profit margins and business cycle in the Brazilian industry during the 1992-1998 period, taking as reference a dynamic panel data model founded around a conjectural variation framework. The empirical results indicate procyclical behaviour of profit margins for the aggregate business cycle but is less clear in the case of sector-specific business cycle variables. Among the most robust results, one can highlight the roles of lagged profitability and import intensity and the negligible role of union density. Schmalensee in 1985 (American Economic Review 75, pp. 341-51) outlined three theoretical interpretations associated with the empirical model (classical, revisionist and managerial). Econometric tests on the related restrictions do not allow one to exclusively legitimate any of the three interpretations.

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  • Marcos Lima & Marcelo Resende, 2004. "Profit margins and business cycles in the Brazilian industry: a panel data study," Applied Economics, Taylor & Francis Journals, vol. 36(9), pages 923-930.
    • Handle: RePEc:taf:applec:v:36:y:2004:i:9:p:923-930
    DOI: 10.1080/003684042000233140
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    Cited by:

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    2. Tamminen, Saara & Chang, Han-Hsin, 2012. "Company heterogeneity and mark-up variability," Working Papers 32, VATT Institute for Economic Research.
    3. Efe Can KILINÇ & Cafer Necat BERBEROĞLU, 2019. "The Relationship Between Saving, Profit Rates and Business CyclesAbstract:There are different approaches of economics schools on the sources, causes and determinants of business cycles. These approach," Sosyoekonomi Journal, Sosyoekonomi Society.
    4. Lourdes Moreno Martin & Diego Rodriguez Rodriguez, 2010. "Export activity, persistence and mark-ups," Applied Economics, Taylor & Francis Journals, vol. 42(4), pages 475-488.
    5. Gilbert Cette & Rémy Lecat & Ahmed Ould Ahmed Jiddou, 2016. "Margin rate and the cycle: the role of trade openness," Applied Economics, Taylor & Francis Journals, vol. 48(37), pages 3569-3575, August.
    6. Pires Tiberto, Bruno & Oliveira de Moraes, Claudio & Pio Corrêa, Paloma, 2020. "Does transparency of central banks communication affect credit market? Empirical evidence for advanced and emerging markets," The North American Journal of Economics and Finance, Elsevier, vol. 53(C).
    7. Shim Hyein & Chung Chune Young & Ryu Doojin, 2018. "Labor income share and imperfectly competitive product market," The B.E. Journal of Macroeconomics, De Gruyter, vol. 18(1), pages 1-16, January.
    8. Marcelo Resende, 2007. "Structure, conduct and performance: a simultaneous equations investigation for the Brazilian manufacturing industry," Applied Economics, Taylor & Francis Journals, vol. 39(7), pages 937-942.
    9. Aydemir, Resul & Guloglu, Bulent, 2017. "How do banks determine their spreads under credit and liquidity risks during business cycles?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 46(C), pages 147-157.
    10. Nina Ponikvar & Maks Tajnikar, 2011. "Are the Determinants of Markup Size Industry-Specific? The Case of Slovenian Manufacturing Firms," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 58(2), pages 229-244, June.

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