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Regional Beveridge Curves: A Latent Variable Approach

Author

Listed:
  • Robert Dixon
  • G.C. Lim
  • John Freebairn

Abstract

It is important to understand how labour markets in different regions are affected by ‘common’ or ‘national’ shocks including national macroeconomic, monetary and fiscal policies. This paper applies a new econometric approach - involving an unobserved components model - to identify the direction and timing of the shifts in regional Beveridge Curves. The method allows for the presence of common national factor(s) and region specific factor(s) in the determination of activity in labour markets including regional specific loadings on the common factor. The method is applied to Australian data. The results show that equilibrium unemployment rate vary by region and over time. In terms of implications for policies to reduce unemployment, these results suggest a key potential role for regional policies.

Suggested Citation

  • Robert Dixon & G.C. Lim & John Freebairn, 2010. "Regional Beveridge Curves: A Latent Variable Approach," Department of Economics - Working Papers Series 1103, The University of Melbourne.
    • Handle: RePEc:mlb:wpaper:1103
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    Citations

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    Cited by:

    1. Mark J. Holmes & Jesús Otero, 2020. "The Beveridge Curve Across US States: New Insights From a Pairwise Approach," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(2), pages 405-424, April.
    2. Klinger, Sabine & Weber, Enzo, 2014. "Decomposing Beveridge curve dynamics by correlated unobserved components: The impact of labour market reforms in Germany," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100499, Verein für Socialpolitik / German Economic Association.
    3. Sabine Klinger & Enzo Weber, 2016. "Decomposing Beveridge Curve Dynamics By Correlated Unobserved Components," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(6), pages 877-894, December.
    4. Robert Dixon & Guay Lim, 2016. "Modelling the dynamics of regional employment–population ratios and their commonality," Urban Studies, Urban Studies Journal Limited, vol. 53(2), pages 338-354, February.
    5. José Ramón García Martínez & Valeri Sorolla, 2013. "Frictional and Non Frictional Unemployment in Models with Matching Frictions," Working Papers. Serie AD 2013-02, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    6. Robert Dixon & G. C. Lim & John Freebairn, 2014. "Regional Beveridge Curves: A Latent Variable Approach," Regional Studies, Taylor & Francis Journals, vol. 48(2), pages 254-269, February.
    7. Crawley, Andrew & Welch, Sarah & Yung, Julieta, 2021. "Improving estimates of job matching efficiency with different measures of unemployment," Journal of Macroeconomics, Elsevier, vol. 67(C).
    8. Carlo Altavilla & Floro Ernesto Caroleo, 2013. "Asymmetric Effects of National-based Active Labour Market Policies," Regional Studies, Taylor & Francis Journals, vol. 47(9), pages 1482-1506, October.
    9. Dobrescu, Emilian, 2011. "Sectoral Structure and Economic Growth," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 5-36, September.

    More about this item

    JEL classification:

    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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