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Competitividade industrial de Minas Gerais no período 1985-2000: um enfoque econométrico [Industrial competitiveness in Minas Gerais in 1985-2000: an econometric approach]


  • Eduardo Gonçalves

    () (Universidade Federal de Juiz de Fora)

  • Tharsila Reis de Medeiros

    (Universidade Federal de Juiz de Fora)

  • Alexandre Sabino de Oliveira

    (Universidade Federal de Juiz de Fora)

  • Cristina Márcia Barros de Castro

    (Universidade Federal de Juiz de Fora)


This paper presents an econometric analysis of competitiveness indicators related to entrepreneurial efficiency, specially those associated with relative potential competitiveness. Such indicators are obtained by means of the relation between real wage series and labor productivity in the state of Minas Gerais compared to the national indicators. This test is applied to data collected from the Pesquisa Industrial Mensal (Monthly Industrial Survey) conducted by the IBGE (the Brazilian statistics agency). The econometric characteristics of the competitiveness indicators series are analyzed using the Augmented Dickey-Fuller and Perron tests. The date of break is endogenously determined. The results are different according to the industrial sector under consideration, moment of structural adjustment in 1985-2000, and the existence or absence of an increasing or a decreasing trajectory for industrial competitiveness.

Suggested Citation

  • Eduardo Gonçalves & Tharsila Reis de Medeiros & Alexandre Sabino de Oliveira & Cristina Márcia Barros de Castro, 2003. "Competitividade industrial de Minas Gerais no período 1985-2000: um enfoque econométrico [Industrial competitiveness in Minas Gerais in 1985-2000: an econometric approach]," Nova Economia, Economics Department, Universidade Federal de Minas Gerais (Brazil), vol. 13(2), pages 81-108, July-Dece.
  • Handle: RePEc:nov:artigo:v:13:y:2003:i:2:p:81-108

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    industrial competitiveness; structural break; endogenously determined date; Minas Gerais; Brazil;

    JEL classification:

    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes


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