Business Profitability and Long Term Industrial Change in Twentieth-Century Australia. This project will establish Australia as a pioneer in longitudinal research into business profitability in terms of assembling new data and its use to analyse the relationship of profitability with capital formation and structural change in the economy. It will extend our knowledge of long-term returns to equity investment, a category of savings and pension funding now common to most Australians, and contribut ....Business Profitability and Long Term Industrial Change in Twentieth-Century Australia. This project will establish Australia as a pioneer in longitudinal research into business profitability in terms of assembling new data and its use to analyse the relationship of profitability with capital formation and structural change in the economy. It will extend our knowledge of long-term returns to equity investment, a category of savings and pension funding now common to most Australians, and contribute to our understanding of Australia's comparative business performance in light of current debates regarding the alleged limited global competitiveness and corporate governance shortcomings of leading Australian corporations.Read moreRead less
New Approaches to the Analysis of Count Time Series. The focus of this proposal is on the analysis of data that enumerate events over time. Occurrences of such count data abound in economics and business, examples being observations on insurance claims, loan defaults and individual product demand. This project develops a suite of innovative methods for modelling and predicting event counts. The methods explicitly accommodate both the discreteness of the data and possible complexities in its evo ....New Approaches to the Analysis of Count Time Series. The focus of this proposal is on the analysis of data that enumerate events over time. Occurrences of such count data abound in economics and business, examples being observations on insurance claims, loan defaults and individual product demand. This project develops a suite of innovative methods for modelling and predicting event counts. The methods explicitly accommodate both the discreteness of the data and possible complexities in its evolution over time. In so doing, they enable both accurate inferences regarding the dynamic structure of the data to be drawn and accurate forecasts of future event counts to be produced.Read moreRead less