Social Safety Nets in India: Effectiveness, Nutritional Impact and Political Economy. India is, potentially, one of Australia's most significant trading and strategic partners. As India, a democratic country with low per capita income deepens its economic reforms programs, their success depends critically upon domestic political support which would require that the policies adopted make a significant dent on poverty. The proposed research will examine the impact of two of the most significant p ....Social Safety Nets in India: Effectiveness, Nutritional Impact and Political Economy. India is, potentially, one of Australia's most significant trading and strategic partners. As India, a democratic country with low per capita income deepens its economic reforms programs, their success depends critically upon domestic political support which would require that the policies adopted make a significant dent on poverty. The proposed research will examine the impact of two of the most significant policy initiatives for poverty alleviation and thus provide critical analyses of how a democratic polity should address poverty. The project's results will also have significant implications for the design of AusAID's recommended anti-poverty interventions in other developing countries. Read moreRead less
The role of branding and international trademarks in global value chains. The role of branding and international trademarks in global value chains. This project will examine the role of brands and trademarks on global value chains. Trademarks can help firms de-risk, scale up and add value to their offerings. This project will develop a machine learning algorithm to identify international trademark families and extend a novel global trademark family dataset. It will use the dataset to analyse how ....The role of branding and international trademarks in global value chains. The role of branding and international trademarks in global value chains. This project will examine the role of brands and trademarks on global value chains. Trademarks can help firms de-risk, scale up and add value to their offerings. This project will develop a machine learning algorithm to identify international trademark families and extend a novel global trademark family dataset. It will use the dataset to analyse how international trademarks are used and mis-used; how they enable vertical dis-integration and international dispersion of manufacturing production (two central features of global value chains); and how they affect businesses’ ability to enter and compete in global markets. This research should help Australian businesses extend their international reach and policy makers increase domestic gains from global value chains.Read moreRead less
Regional Comparisons of Prices, Income and Growth in Australia. We will measure how much the cost of living and rates of inflation differ across the eight capital cities in Australia, and then test whether real per capita income levels across cities are converging or diverging over time. To make such comparisons, the ABS's databases on each capital city must first be harmonized. While doing this we will review the ABS's current procedures for data construction and quality assessment. A further a ....Regional Comparisons of Prices, Income and Growth in Australia. We will measure how much the cost of living and rates of inflation differ across the eight capital cities in Australia, and then test whether real per capita income levels across cities are converging or diverging over time. To make such comparisons, the ABS's databases on each capital city must first be harmonized. While doing this we will review the ABS's current procedures for data construction and quality assessment. A further aim is to show how statistical modelling using spanning-tree methods can resolve the conflict that arises for price indexes constructed on panel data sets between temporal and spatial consistency.Read moreRead less
Can Electronic Point-of-Sale (POS) Data Improve the Australian Consumer Price Index? This project will investigate how new sources of data can be used to improve the accuracy of price indexes that are used in policy formation, such as the consumer price index. The adoption of bar-code labelling for products has provided statistical agencies with an information-rich source of 'scanner data' on prices and quantities of purchased goods. In collaboration with the Australian Bureau of Statistics, thi ....Can Electronic Point-of-Sale (POS) Data Improve the Australian Consumer Price Index? This project will investigate how new sources of data can be used to improve the accuracy of price indexes that are used in policy formation, such as the consumer price index. The adoption of bar-code labelling for products has provided statistical agencies with an information-rich source of 'scanner data' on prices and quantities of purchased goods. In collaboration with the Australian Bureau of Statistics, this project will develop mathematical and statistical methods for exploiting this new data source. The findings will contribute to the improvement of price indexes, and subsequently the many government policies that depend on these indexes.Read moreRead less
Scanner Data in the Consumer Price Index: How to expand and improve their use. The Consumer Price Index (CPI) is used in a variety of policy contexts, such as setting interest rates and determining the level of welfare payments, as well as by private industry for determining wages. The CPI is aggregate measure of price changes. It is typically constructed using survey data, which is a small sample of all the goods purchased. Electronic recording of sales, using scanned product bar codes, provide ....Scanner Data in the Consumer Price Index: How to expand and improve their use. The Consumer Price Index (CPI) is used in a variety of policy contexts, such as setting interest rates and determining the level of welfare payments, as well as by private industry for determining wages. The CPI is aggregate measure of price changes. It is typically constructed using survey data, which is a small sample of all the goods purchased. Electronic recording of sales, using scanned product bar codes, provides a huge amount of price and quantity information that potentially can be used to construct an improved CPI, and hence improved policies. The project includes the collaboration of the Australian Bureau of Statistics and the Central Bureau of Statistics (The Netherlands).Read moreRead less
Innovative financing mechanisms for higher education. Advances in statistical modelling are used to highlight the potential to apply creatively income contingent loans for the expansion of Australian and international higher education. Alternative student loan mechanisms for income support and tuition are critically analysed, and new arrangements are proposed for equitable reforms in higher education.
Investment Approaches and Applications in Financial Markets: Evolutionary Kernel Based Subset Time-Series Using Semi-Parametric Approaches. The project will develop new investment assessments based on subset time-series modeling. Innovative evolutionary kernel smoothing algorithms using semi-parametric approaches will be introduced. The project will make three important applications of this modeling in financial markets: a) benchmarking and evaluation of inflation-indexed bonds; b) evaluation of ....Investment Approaches and Applications in Financial Markets: Evolutionary Kernel Based Subset Time-Series Using Semi-Parametric Approaches. The project will develop new investment assessments based on subset time-series modeling. Innovative evolutionary kernel smoothing algorithms using semi-parametric approaches will be introduced. The project will make three important applications of this modeling in financial markets: a) benchmarking and evaluation of inflation-indexed bonds; b) evaluation of the performance of global diversified investment funds; and c) prediction to provide early warning of the emergence of destabilising deflation or inflation. These three applications will lead to improved risk management practices and investment performance. Recursive algorithms will provide new statistical methods to study investment asset price movements and market volatility.
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Investment approaches and opportunities in renewable energy and financial resource markets, using semi-parametric approaches to evolutionary subset time-series lattice-ladder modelling. The project findings will help Australian exporters and importers understand and manage energy and resource price risks more effectively. The investment community will benefit through selecting optimal asset allocations and enhancing value to investors. It will also benefit many other agencies, particularly in th ....Investment approaches and opportunities in renewable energy and financial resource markets, using semi-parametric approaches to evolutionary subset time-series lattice-ladder modelling. The project findings will help Australian exporters and importers understand and manage energy and resource price risks more effectively. The investment community will benefit through selecting optimal asset allocations and enhancing value to investors. It will also benefit many other agencies, particularly in the service industries. It is not well recognised that in developed countries, including Australia, the financial service and related sectors account for more than 60 percent of economic activity and employment, so it is critical that more sophisticated statistical methods be established, and practical applications conducted, in order to advance the understanding of complexity management in the financial service and related sectors.Read moreRead less
The improvement of investment approaches by developing and applying bootstrap methods to innovative evolutionary kernel-based subset time-series modelling. With over $1 trillion of investors' monies in the hands of fund managers, the importance of efficient investment decisions across all industry sectors is self evident. Even if the modest target of systematically improving decision making by 1 or 2 % is set, the aggregate economic benefit achieved, given the compounding effects will be enormou ....The improvement of investment approaches by developing and applying bootstrap methods to innovative evolutionary kernel-based subset time-series modelling. With over $1 trillion of investors' monies in the hands of fund managers, the importance of efficient investment decisions across all industry sectors is self evident. Even if the modest target of systematically improving decision making by 1 or 2 % is set, the aggregate economic benefit achieved, given the compounding effects will be enormous. Any developed or developing country will profit from such advanced decision-making approaches. Therefore it is critical that more sophisticated statistical methods be established, and practical applications conducted, in order to advance the understanding of complexity management in the financial investment and other relevant sectors.Read moreRead less
New methods for small group analysis from sample surveys. National and state averages of statistics on issues such as unemployment, salinity, drought impact, and health often hide large differences between population sub-groups and between small areas. This local variation needs to be understood so that effective policies can be developed and carried out efficiently and their impact monitored. This project will provide, for the first time, robust and efficient methods for providing information o ....New methods for small group analysis from sample surveys. National and state averages of statistics on issues such as unemployment, salinity, drought impact, and health often hide large differences between population sub-groups and between small areas. This local variation needs to be understood so that effective policies can be developed and carried out efficiently and their impact monitored. This project will provide, for the first time, robust and efficient methods for providing information on these variations using data from large-scale national and state surveys. This will lead to significant improvements in the data available for small population groups and small areas, allowing better targeting of policies aimed at addressing local differences.Read moreRead less