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To Pool or to Aggregate? Tests with a Dynamic Panel Macroeconometric Model of Australian State Labor Markets

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  • Chaudhuri Kausik

    ()
    (Indira Gandhi Institute of Developmental Research)

  • Sheen Jeffrey R

    ()
    (University of Sydney)

Abstract

We construct a dynamic error correction model of the Australian labor market using a macroeconomic panel across seven states from 1972:3 to 1999:1. Medium-run equilibrium estimates support a real wage-productivity gap and an unemployment gap. The dynamic short-run estimates support expectations-augmented Phillips curves for wages and prices, and demand-led employment growth. We compare three procedures – pooled, aggregate and mean group estimates. Considerable heterogeneity existed across states in the pooled procedure, and state-level variables had a significant impact in the aggregate procedure. Out-of-sample aggregate forecasting for the pooled, aggregate and mean group procedures suggests that the pooled one performs best.

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Bibliographic Info

Article provided by De Gruyter in its journal The B.E. Journal of Macroeconomics.

Volume (Year): 7 (2007)
Issue (Month): 1 (January)
Pages: 1-37

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Handle: RePEc:bpj:bejmac:v:7:y:2007:i:1:n:1

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  1. David Bowman, 1999. "Efficient tests for autoregressive unit roots in panel data," International Finance Discussion Papers 646, Board of Governors of the Federal Reserve System (U.S.).
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  4. Maddala, G S & Wu, Shaowen, 1999. " A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 631-52, Special I.
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Cited by:
  1. Badri Narayanan G., 2010. "Eff ects of Trade liberalisation, Environmental and Labour Regulations on Employment in India's Organised Textile Sector," Working Papers id:2720, eSocialSciences.

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