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Determinantes dos movimentos pendulares no Brasil: uma análise espacial
[Determinants of commuting in Brazil: A spatial analysis]

Author

Listed:
  • Danyella Juliana Brito
  • Marcus Vinicius Amaral e Silva

Abstract

Decisions about where to live and work involve dilemmas between opportunities, wages, travel time and cost of living. The objective of this paper is to analyze which municipal factors are associated with the highest rates of commuting in Brazilian municipalities in 2010, understanding these movements as possibly spatially autocorrelated. For this purpose, techniques of spatial econometrics were used. Among the main findings is the need to consider spatial autocorrelation in the analysis of pendular mobility determinants. In addition, the results indicate that labor market and urban agglomeration variables are directly associated with greater inflows of commuters. On the other hand, the characteristics of urban infrastructure do not seem to explain commuting in the same way that it explains migratory attractivene

Suggested Citation

  • Danyella Juliana Brito & Marcus Vinicius Amaral e Silva, 2021. "Determinantes dos movimentos pendulares no Brasil: uma análise espacial [Determinants of commuting in Brazil: A spatial analysis]," Estudios Economicos, Universidad Nacional del Sur, Departamento de Economia, vol. 38(76), pages 95-122, january-j.
    • Handle: RePEc:uns:esteco:v:38:y:2021:i:76:p:95-122
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    File URL: https://revistas.uns.edu.ar/ee/article/view/1916/1249
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    More about this item

    Keywords

    mercado de trabalho; deslocamento pendular; análise espacial;
    All these keywords.

    JEL classification:

    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models

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