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Going Deeper Into the Link Between the Labour Market and Inflation

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  • Tito Nícias Teixeira da Silva Filho

Abstract

The unemployment rate is one of the most closely watched economic indicators. However, it has important limitations and shortcomings as a measure of the state of the labour market. This could help to explain the fact that in traditional Phillips curves unemployment explains but a small part of inflation. This paper tries to mitigate such problems going deeper into labour market indicators. With that aim alternative unemployment rates are built and assessed, along with disaggregated unemployment rates and other labour market indicators. The evidence shows that some of those indicators have considerably greater explanatory power over inflation than the traditional unemployment rate and, therefore, should be followed closely by policymakers.

Suggested Citation

  • Tito Nícias Teixeira da Silva Filho, 2012. "Going Deeper Into the Link Between the Labour Market and Inflation," Working Papers Series 279, Central Bank of Brazil, Research Department.
    • Handle: RePEc:bcb:wpaper:279
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    References listed on IDEAS

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    1. Olivier Blanchard & Lawrence F. Katz, 1997. "What We Know and Do Not Know about the Natural Rate of Unemployment," Journal of Economic Perspectives, American Economic Association, vol. 11(1), pages 51-72, Winter.
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    5. Steven J. Davis & R. Jason Faberman & John Haltiwanger, 2006. "The Flow Approach to Labor Markets: New Data Sources and Micro-Macro Links," Journal of Economic Perspectives, American Economic Association, vol. 20(3), pages 3-26, Summer.
    6. Robert E. Hall, 1970. "Why Is the Unemployment Rate So High at Full Employment?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 1(3), pages 369-410.
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    Cited by:

    1. Bruno Martins, 2012. "Local Market Structure and Bank Competition: evidence from the Brazilian auto loan market," Working Papers Series 299, Central Bank of Brazil, Research Department.
    2. Marta Areosa. Waldyr Areosa, 2012. "Asset Prices and Monetary Policy – A sticky-dispersed information model," Working Papers Series 285, Central Bank of Brazil, Research Department.
    3. Papadimitriou, Theophilos & Gogas, Periklis & Tabak, Benjamin M., 2013. "Complex networks and banking systems supervision," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(19), pages 4429-4434.
    4. Angelo Marsiglia Fasolo, 2012. "A Note on Particle Filters Applied to DSGE Models," Working Papers Series 281, Central Bank of Brazil, Research Department.
    5. Waldyr Areosa & Marta Areosa, 2012. "Information (in) Chains: information transmission through production chains," Working Papers Series 286, Central Bank of Brazil, Research Department.
    6. Waldyr Areosa & Marta Areosa, 2012. "The Signaling Effect of Exchange Rates: pass-through under dispersed information," Working Papers Series 282, Central Bank of Brazil, Research Department.
    7. Arnildo Da Silva Correa & Sergio Afonso Lago Alves, 2016. "A Tale Of Three Gaps: Unemployment, Capacity Utilization And Output," Anais do XLII Encontro Nacional de Economia [Proceedings of the 42nd Brazilian Economics Meeting] 031, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    8. Fernando Siqueira Dos Santos, 2016. "Okun’S Law And Labor Productivity In Brazil," Anais do XLIII Encontro Nacional de Economia [Proceedings of the 43rd Brazilian Economics Meeting] 232, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].

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