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How macroeconomic variables affect admission and dismissal in the Brazilian electro-electronic sector: A VAR-based model and cluster analysis

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  • Ueda, Renan Mitsuo
  • Souza, Adriano Mendonça
  • Menezes, Rui Manuel Campilho Pereira

Abstract

Brazilian industries in the electro-electronic sector impact other areas of the economy, as they contribute to the generation of employment and income. The objective of this research is to analyze the short-term dynamic behavior vector autoregressive (VAR) models of admission and dismissal, using cluster analysis as a pretreatment to classify variable endogeneity and observe the macroeconomic variables that most impact unemployment. Cluster analysis will be used to determine if the macroeconomic variables related to the Brazilian electro-electronic sector can be classified and selected based on their exogeneity. The VAR model will be used to show the contemporary relationship among the variables and, through the use of the impulse response function and the variance decomposition, help explain their dynamics. The shock imputed by the macroeconomic variables causes employment rate instability that takes two months to return to normal. There is a significant relationship (p ≤ 0.01) between the macroeconomic variables and the number of people admitted and dismissed in the sector, indicating that abrupt changes in the macroeconomic variables will result in fluctuations in the number of employees in the Brazilian electro-electronic industry. The cluster analysis was able to classify the variables as endogenous or exogenous variables, but it was not able to order them based on exogeneity.

Suggested Citation

  • Ueda, Renan Mitsuo & Souza, Adriano Mendonça & Menezes, Rui Manuel Campilho Pereira, 2020. "How macroeconomic variables affect admission and dismissal in the Brazilian electro-electronic sector: A VAR-based model and cluster analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 557(C).
    • Handle: RePEc:eee:phsmap:v:557:y:2020:i:c:s0378437120304519
    DOI: 10.1016/j.physa.2020.124872
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    References listed on IDEAS

    as
    1. repec:cup:cbooks:9781107034662 is not listed on IDEAS
    2. Basalto, Nicolas & Bellotti, Roberto & De Carlo, Francesco & Facchi, Paolo & Pantaleo, Ester & Pascazio, Saverio, 2007. "Hausdorff clustering of financial time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 379(2), pages 635-644.
    3. Sa-ngasoongsong, Akkarapol & Bukkapatnam, Satish T.S. & Kim, Jaebeom & Iyer, Parameshwaran S. & Suresh, R.P., 2012. "Multi-step sales forecasting in automotive industry based on structural relationship identification," International Journal of Production Economics, Elsevier, vol. 140(2), pages 875-887.
    4. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    5. Mantegna,Rosario N. & Stanley,H. Eugene, 2007. "Introduction to Econophysics," Cambridge Books, Cambridge University Press, number 9780521039871, January.
    6. R. Mantegna, 1999. "Hierarchical structure in financial markets," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 11(1), pages 193-197, September.
    7. Kocakaplan, Yusuf & Deviren, Bayram & Keskin, Mustafa, 2012. "Hierarchical structures of correlations networks among Turkey’s exports and imports by currencies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(24), pages 6509-6518.
    8. Coelho, R. & Hutzler, S. & Repetowicz, P. & Richmond, P., 2007. "Sector analysis for a FTSE portfolio of stocks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 373(C), pages 615-626.
    9. Konstantakis, Konstantinos N. & Michaelides, Panayotis G. & Vouldis, Angelos T., 2016. "Non performing loans (NPLs) in a crisis economy: Long-run equilibrium analysis with a real time VEC model for Greece (2001–2015)," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 149-161.
    10. Keskin, Mustafa & Deviren, Bayram & Kocakaplan, Yusuf, 2011. "Topology of the correlation networks among major currencies using hierarchical structure methods," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(4), pages 719-730.
    11. de Senna, Viviane & Souza, Adriano Mendonça, 2016. "Assessment of the relationship of government spending on social assistance programs with Brazilian macroeconomic variables," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 21-30.
    12. Di Matteo, T. & Aste, T. & Mantegna, R.N., 2004. "An interest rates cluster analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 339(1), pages 181-188.
    13. Netšunajev, Aleksei & Glass, Katharina, 2017. "Uncertainty and employment dynamics in the euro area and the US," Journal of Macroeconomics, Elsevier, vol. 51(C), pages 48-62.
    14. de Souza Ramser, Claudia Aline & Souza, Adriano Mendonça & Souza, Francisca Mendonça & da Veiga, Claudimar Pereira & da Silva, Wesley Vieira, 2019. "The importance of principal components in studying mineral prices using vector autoregressive models: Evidence from the Brazilian economy," Resources Policy, Elsevier, vol. 62(C), pages 9-21.
    15. Cuestas, Juan Carlos & Ordóñez, Javier, 2018. "Oil prices and unemployment in the UK before and after the crisis: A Bayesian VAR approach. A note," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 200-207.
    16. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    17. Brooks,Chris, 2014. "Introductory Econometrics for Finance," Cambridge Books, Cambridge University Press, number 9781107661455, December.
    18. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    19. Zhang, Chi & Zhou, Kaile & Yang, Shanlin & Shao, Zhen, 2017. "Exploring the transformation and upgrading of China’s economy using electricity consumption data: A VAR–VEC based model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 144-155.
    20. Coelho, Ricardo & Gilmore, Claire G. & Lucey, Brian & Richmond, Peter & Hutzler, Stefan, 2007. "The evolution of interdependence in world equity markets—Evidence from minimum spanning trees," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 376(C), pages 455-466.
    21. Granger, Clive W J, 1986. "Developments in the Study of Cointegrated Economic Variables," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 48(3), pages 213-228, August.
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