scholarly journals A Framework for Official Temporary Population Statistics

2020 ◽  
Vol 36 (1) ◽  
pp. 1-24 ◽  
Author(s):  
Elin Charles-Edwards ◽  
Martin Bell ◽  
Radoslaw Panczak ◽  
Jonathan Corcoran

AbstractThere is considerable demand for official statistics on temporary populations to supplement statistics on resident and working populations. Progress has been slow, with temporary population statistics not part of the standard suite of measures produced by national statistical offices. This article adopts the framework for official statistics proposed by Raymer and colleagues as a guide to aspects relating to society, concepts, data, processing, outputs and validation. The article proposes a conceptual framework linking temporary population mobility, defined as a move more than one night in duration that does not entail a change in usual residence, and temporary populations. Using Australia as an example, we discuss various dimensions of temporary mobility that complicate its measurement. We then report the outcomes of a survey of user needs for temporary population statistics along with a desktop review of OECD countries to identify the best formulation of temporary population statistics, and current international practice respectively. The article concludes by proposing two related concepts for temporary populations: population present and person-time, which overcome a number of issues currently impeding progress in this area and discuss their potential implementation.

Author(s):  
CHRISTOPH UEHLINGER

This chapter explores the potential use of visual sources, together with the methods employed for studying them, such as iconography or iconology, for the history of ‘ancient Israel’. It describes the theoretical and conceptual framework, particularly the notion of ‘eyewitnessing’, and considers the method, particularly iconography. The chapter also presents case examples chosen from monuments which are so well known to historians of ancient Israel that they are well suited to illustrate both the pitfalls of more conventional interpretations and the potential of alternative approaches. Before turning to the sources – namely visual evidence that may be related to the history of ancient Israel and Judah – the chapter discusses the state of the art among fellow historians in neighbouring disciplines, including those belonging to the so-called ‘humanities’ (or arts and letters). It also considers visual art and history, the metaphor of legal investigation, the balancing of testimony, and the particular status of an eyewitness.


2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Frank Pega ◽  
Alistair Gray ◽  
Jaimie F. Veale ◽  
Diane Binson ◽  
Randell L. Sell

Objective.Effectively addressing health disparities experienced by sexual minority populations requires high-quality official data on sexual orientation. We developed a conceptual framework of sexual orientation to improve the quality of sexual orientation data in New Zealand’s Official Statistics System.Methods.We reviewed conceptual and methodological literature, culminating in a draft framework. To improve the framework, we held focus groups and key-informant interviews with sexual minority stakeholders and producers and consumers of official statistics. An advisory board of experts provided additional guidance.Results.The framework proposes working definitions of the sexual orientation topic and measurement concepts, describes dimensions of the measurement concepts, discusses variables framing the measurement concepts, and outlines conceptual grey areas.Conclusion.The framework proposes standard definitions and concepts for the collection of official sexual orientation data in New Zealand. It presents a model for producers of official statistics in other countries, who wish to improve the quality of health data on their citizens.


Author(s):  
Fernando Almeida ◽  
Mário Santos

Big data is a term that has risen to prominence describing data that exceeds the processing capacity of conventional database systems. Big data is a disruptive force that will affect organizations across industries, sectors, and economies. Hidden in the immense volume, variety, and velocity of data that is produced today is new information, facts, relationships, indicators, and pointers that either could not be practically discovered in the past, or simply did not exist before. This new information, effectively captured, managed, and analyzed, has the power to enhance profoundly the effectiveness of government. This chapter looks to the main challenges and issues that will have to be addressed to capture the full potential of big data. Additionally, the authors present a conceptual framework for big data analysis structured in there layers: (a) data capture and preprocessing, (b) data processing and interaction, and (c) auxiliary tools. Each has a different role to play in capturing, processing, accessing, and analyzing big data.


2020 ◽  
Vol 35 (102) ◽  
pp. 357-402 ◽  
Author(s):  
Roel Beetsma ◽  
Franc Klaassen ◽  
Ward Romp ◽  
Ron van Maurik

SUMMARY Based on narrative identification, we construct a novel comprehensive dataset of pension reform measures in OECD countries from 1970 to 2017. We then study the timing of these measures. Our main and new result is that business cycle indicators are important for their timing: a worsening makes contractionary measures more likely and expansionary measures less likely. The demography matters only in the sense that the OECD-wide demography explains the general reform trend for a country. We find no evidence that country-specific or short-run demographic developments matter. We discuss a conceptual framework with adjustment costs of changing pension generosity that can account for both the reform responsiveness to the business cycle and the lack of responsiveness to changes in demographic forecasts. We also discuss potential policy implications of our findings.


2018 ◽  
Vol 2 (1) ◽  
pp. 14-25 ◽  
Author(s):  
Elin Charles-Edwards ◽  
Radoslaw Panczak

Background  Temporary population mobility, moves of more than one night’s duration that do not entail a change in usual residence, are an important feature of the Australian population surface. The ABS Census of Population and Housing (Census) provides a snapshot of temporary movements one night every five years. Aims  This paper examines the intensity, age and spatial patterns of temporary movements captured at the 2016 Census, and creates a classification of regions based on the age profile of movers on Census nights. Data and methods  2016 Census data were extracted using ABS TableBuilder Pro. Summary metrics were calculated to measure the intensity and age profile of movements. Origin–destination flows were derived from a cross-classification of data on Place of Usual Residence and Place of Enumeration. A classification of regions (SA4s) was constructed from the age profile of movers at origins and at destinations. Results  1,142,005 individuals (about 5 per cent of the Australian population) were enumerated away from home on Census night 2016. Mobility peaked in younger (20–30) and older (65–70) age groups. Most movements were between capital city regions; however, resource regions and coastal areas were also implicated. The mobility surface was segmented by age: younger people dominated visits to cities and older movers comprise the majority of visitors to coastal areas, while remote areas had a significant proportion of visitors in the peak working ages. Conclusions  Temporary population mobility is selective by age and sex and geographically segmented by these characteristics. Improved understanding of the attribute of visitors to regions can assist to formulate and validate estimates of temporary populations from emerging data sets.


SinkrOn ◽  
2020 ◽  
Vol 5 (1) ◽  
pp. 152-163
Author(s):  
Besus Maulana Shulton ◽  
Eva Zuraidah

In recent years the existence of web-based information systems in Indonesia has increasingly felt its presence in supporting daily activities, both economic and non-economic. Manually processing data certainly cannot keep up with the need for fast, precise, and accurate presentation of information. Currently, manual data processing is considered less effective for providing reports and information for companies that are developing and have diverse transactions. The importance of Trouble Ticket Desktop Support is to make equalization of workloads that are fair and balanced besides that it is also a tool for assessment on each a technician. So with this, the author tries to examine the application of web-based technology that can be applied to problems that exist in one activity so that it can integrate the activities concerned. Ticket Desktop Support as a process to collect data from various existing sources and Desktop Support is required to be active monitor and treat user needs. With Trouble Ticket Desktop Support that is well integrated so that accessing data on Desktop Support can be done easily and quickly in order to measure the level of problems and access reports by the Head of IT Operations, as well as problems can be handled well within the scope of problem boundaries that produce the right solution to manage resources the power available, with this application it will be clear what problems are faced by the customer.


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