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Using state space models as a statistical impact measurement of survey redesigns: a case study of the labour force survey of the Australian Bureau of Statistics
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作者 Xichuan(Mark)Zhang Jan A.van den Brakel Siu-Ming Tam 《Statistical Theory and Related Fields》 2019年第2期224-238,共15页
The goals of any major business transformation programme in an official statistical agency often include improving data collection efficiency,data processing methodologies and data quality.However,the achievement of s... The goals of any major business transformation programme in an official statistical agency often include improving data collection efficiency,data processing methodologies and data quality.However,the achievement of such improvements may have transitional statistical impacts that could be misinterpreted as real-world changes if they are not measured and handled appropriately.This paper describes a development work that sought to explore the design and analysis of a times-series experiment that measured the statistical impacts that sometimes occur during survey redesigns.The Labour Force Survey(LFS)of the Australian Bureau of Statistics(ABS)was used as a case study.In the present study:(1)A large-scale field experiment was designed and conducted that allowed the outgoing and the incoming surveys to run in parallel for some periods to measure the impacts of any changes to the survey process;and(2)The precision of the impact measurement was continuously improved while the new survey design was being implemented.The state space modelling(SSM)technique was adopted as the main approach,as it provides an efficient impact measurement.This approach enabled sampling error structure to be incorporated in the time-series intervention analysis.The approach was also able to be extended to take advantage of the availability of other related data sources(e.g.,the data obtained from the parallel data collection process)to improve the efficiency and accuracy of the impact measurement.As stated above,the LFS was used as a case study;however,the models and methods developed in this study could be extended to other surveys. 展开更多
关键词 Intervention analysis survey sampling structural time series modelling labour force SURVEY Kalman filter
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Accounting for liabilities related to ecosystem degradation
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作者 Sue Ogilvy Roger Burritt +4 位作者 Dionne Walsh Carl Obst Peter Meadows Peter Muradzikwa Mark Eigenraam 《Ecosystem Health and Sustainability》 SCIE 2018年第11期2-17,共16页
Introduction:A growing belief that accounting can and should play a role in halting and reversing degradation of ecosystems is leading to conceptual and methodological develop-ments that recognize the cost of degradat... Introduction:A growing belief that accounting can and should play a role in halting and reversing degradation of ecosystems is leading to conceptual and methodological develop-ments that recognize the cost of degradation,attribute the cost to the entities responsible and assure that entities can't ignore the economic burden associated with it.Outcome:Demonstration accounts prepared around a scenario where agricultural use of land includes an obligation to maintain ecosystem condition.The accounts are compliant and coherent with both the intermational accounting standards for individual entities and the United Nations'System of Environmental-Economic Accounting.Discussion:Accounting for labilities for ecosystem degradation demonstrates that,where the liability reflects the lost economic value of the ecosystem,the accounts communicate a reduction in the total net worth of the economy and a redistribution of net worth away from the party responsible for the degradation.The inclusion of both libilties for degradation and the cost of degradation does not lead to double-counting the economic impact of degradation.Conclusion:Accounting principles and frameworks encourage greater accountability for entities responsible for ecosystem condition by providing greater visibility of the economic cost to individual entities,governments and nations. 展开更多
关键词 Ecosystem accounting LIABILITIES degradation sustainability sustainable development goals(SDG)
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