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Unit Record Data (unit + record_data)

Distribution by Scientific Domains

Business, Economics, Finance and Accounting	75%

Selected Abstracts

Characteristics of non-fatal opioid overdoses attended by ambulance services in Australia

AUSTRALIAN AND NEW ZEALAND JOURNAL OF PUBLIC HEALTH, Issue 6 2004
Paul Dietze
Objective: To examine the feasibility of establishing a database on non-fatal opioid overdose in order to examine patterns and characteristics of these overdoses across Australia. Methods: Unit record data on opioid overdose attended by ambulances were obtained from ambulance services in the five mainland States of Australia for available periods, along with information or case definition and opioid overdose management within these jurisdictions. Variables common across States were examined including the age and sex of cases attended, the time of day and day of week of the attendance, and the transportation outcome (whether the victim was left at the scene or transported to hospital). Results: The monthly rate of non-fatal opioid overdose attended by ambulance was generally highest in Victoria (Melbourne) followed by NSW, with the rates substantially lower in the remaining States over the period January 1999 to February 2001. Non-fatal opioid overdose victims were most likely to be male in all States, with the proportion of males highes in Victoria (77%), and were aged around 28 years with ages lowest in Western Australia (m=26) and highest in NSW (m=30). Most of the attendances occurred in the afternoon/early evening and towards the later days of the working week in all States. The rates of transportation varied according to ambulance service practice across the States with around 94% of cases transported in Western Australia and around 18% and 29% of cases transported in Melbourne and NSW respectively. Conclusions: It is feasible to establish a database of comparable data on non-fatal opioid overdoses attended by ambulances in Australia. This compilation represents a useful adjunct to existing surveillance systems on heroin (and other opioid) use and related harms. [source]

A Comparison of Income and Expenditure Inequality Estimates: The Australian Evidence, 1975,76 to 1993,94

THE AUSTRALIAN ECONOMIC REVIEW, Issue 4 2000
Paul Blacklow
Using Australian unit record data this paper compares income and expenditure inequalities over the period 1975,76 to 1993,94. The study finds inconsistencies between the two inequality movements over much of this period. We also observe differences in the nature of income and consumption disparities. Both approaches show that the ,within group' inequality dominates the ,between group' component when the population is divided into household types. The inequality estimates are sensitive to the equivalence scale used as the household size deflator but not to the cost of living index used as the price deflator. [source]

Australian House Prices: A Comparison of Hedonic and Repeat-Sales Measures,

THE ECONOMIC RECORD, Issue 269 2009
JAMES HANSEN
House prices are difficult to measure due to changes in the composition of properties sold through time and changes in the quality of housing. I explore whether these issues affect simple measures of house prices, and whether regression-based measures provide an accurate alternative to measuring pure house price changes in Australia. Using unit record data for Australia's three largest cities, regression-based approaches provide a more accurate estimate of pure price changes than a median, and are comparable, with around half of the variation in prices growth explained. These results confirm that regression-based measures are useful for measuring house price changes in Australia. [source]

Some Ethnic Dimensions of Income Distribution from Pre- to Post-reform New Zealand, 1984,1998*

THE ECONOMIC RECORD, Issue 262 2007
SRIKANTA CHATTERJEE
Based on unit record data from four household surveys conducted by Statistics New Zealand for the years 1983/1984, 1991/1992, 1995/1996 and 1997/1998, this paper addresses some ethnic dimensions of income inequality among New Zealanders over the period of the surveys. It applies alternative techniques of decomposition of the Gini coefficient of inequality by subgroups of population. It then analyses how changes in the incomes of specific population subgroups affect the overall inequality. The results help quantify the economic distances among the different ethnic populations of New Zealand, and indicate how and why these distances have been changing over time. [source]