Applications of information theory to economics and finance

Applications of information theory to economics and finance Thesis

School of Economics, Finance and Property

  • Author(s): Singh, Ranjodh
  • Published: 2019
  • Publisher: Curtin University
  • Volume: PhD

Abstract: (Relevant part of abstract) Finally, the thesis proposes a new method of modelling population changes. It is based on the cohort component model whereby the individuals in a given age group category transition to the next age group category over time. Based on this, the change in population for each age group is calculated and is modelled using a varying limit censoring regression model. Prior to the modelling stage, the Kullback-Leibler (KL) divergence measure is used to assess if there is difference in the population across two different time periods. These methods are applied to model indigenous populations in regional and re-mote Australia. The results indicate that the distributions differ significantly over time. Additionally, the model predicts an increase in the overall indigenous population by ap-proximately 15% from 2011 to 2016. In the absence of population forecasts for regional and remote communities in Australia, these results bring direct benefits to researchers and planning agencies. The results also have important ramifications for services providers such as housing, health, education and infrastructure.

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Singh, Ranjodh, 2019, Applications of information theory to economics and finance, Volume:PhD, Thesis, viewed 16 June 2024,

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