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Temporal causality and the dynamics of judicial appellate caseload, real income and socio-economic complexity in Australia

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  • Paresh Kumar Narayan
  • Russell Smyth

Abstract

This study applies Granger causality tests within a multivariate error correction framework to examine the relationship between judicial caseload, real income and urbanization for Australia using annual data from 1904 to 2001. Decomposition of variance and impulse response functions are also considered. The Granger causality results as well as the decomposition of variance and impulse response functions suggest that urbanization is the most exogenous of the three variables in both the long run and short run while judicial caseload and real income are relatively exogenous in the short run.

Suggested Citation

  • Paresh Kumar Narayan & Russell Smyth, 2006. "Temporal causality and the dynamics of judicial appellate caseload, real income and socio-economic complexity in Australia," Applied Economics, Taylor & Francis Journals, vol. 38(19), pages 2209-2219.
    • Handle: RePEc:taf:applec:v:38:y:2006:i:19:p:2209-2219
    DOI: 10.1080/00036840500427569
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    References listed on IDEAS

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    1. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
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    1. Paresh Kumar Narayan & Russell Smyth, 2007. "What Explains Dissent on the High Court of Australia? An Empirical Assessment Using a Cointegration and Error Correction Approach," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 4(2), pages 401-425, July.
    2. Shah, Hamid Ali & Shah, Attaullah, 2016. "The relationship between judicial efficiency and corporate cash holdings: An international study," Economic Modelling, Elsevier, vol. 59(C), pages 448-462.
    3. Lee Chew Ging & Ng Pek Kim, 2011. "The dynamics of divorce, income, and female labor force participation in Singapore," Economics Bulletin, AccessEcon, vol. 31(4), pages 2757-2768.

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