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Background: Universal health visiting has been a cornerstone of preventative healthcare for children in the United Kingdom (UK) for over 100 years. In 2016, Scotland introduced a new Universal Health Visiting Pathway (UHVP), involving a greater number of contacts with a particular emphasis on the first year, visits within the home setting, and rigorous developmental assessment conducted by a qualified Health Visitor. To evaluate the UHVP, an outcome indicator framework was developed using routine administrative data. This paper sets out the development of these indicators. Methods: A logic model was produced with stakeholders to define the group of outcomes, before further refining and aligning of the measures through discussions with stakeholders and inspection of data. Power calculations were carried out and initial data described for the chosen indicators. Results: Eighteen indicators were selected across eight outcome areas: parental smoking, breastfeeding, immunisations, dental health, developmental concerns, obesity, accidents and injuries, and child protection interventions. Data quality was mixed. Coverage of reviews was high; over 90% of children received key reviews. Individual item completion was more variable: 92.2% had breastfeeding data at 6–8 weeks, whilst 63.2% had BMI recorded at 27–30 months. Prevalence also varied greatly, from 1.3% of children's names being on the Child Protection register for over six months by age three, to 93.6% having received all immunisations by age two. Conclusions: Home visiting services play a key role in ensuring children and families have the right support to enable the best start in life. As these programmes evolve, it is crucial to understand whether changes lead to improvements in child outcomes. This paper describes a set of indicators using routinely-collected data, lessening additional burden on participants, and reducing response bias which may be apparent in other forms of evaluation. Further research is needed to explore the transferability of this indicator framework to other settings. [ABSTRACT FROM AUTHOR]

Background: The ethnicity data gap pertains to 3 major challenges to address ethnic health inequality: 1) Under-representation of ethnic minorities in research; 2) Poor data quality on ethnicity; 3) Ethnicity data not being meaningfully analysed. These challenges are especially relevant for research involving under-served migrant populations in the UK. We aimed to review how ethnicity is captured, reported, analysed and theorised within policy-relevant research on ethnic health inequities. Methods: We reviewed a selection of the 1% most highly cited population health papers that reported UK data on ethnicity, and extracted how ethnicity was recorded and analysed in relation to health outcomes. We focused on how ethnicity was obtained (i.e. self reported or not), how ethnic groups were categorised, whether justification was provided for any categorisation, and how ethnicity was theorised to be related to health. We held three 1-h-long guided focus groups with 10 young people from Nigeria, Turkistan, Syria, Yemen and Iran. This engagement helped us shape and interpret our findings, and reflect on. 1) How should ethnicity be asked inclusively, and better recorded? 2) Does self-defined ethnicity change over time or context? If so, why? Results: Of the 44 included papers, most (19; 43%) used self-reported ethnicity, categorised in a variety of ways. Of the 27 papers that aggregated ethnicity, 13 (48%) provided justification. Only 8 of 33 papers explicitly theorised how ethnicity related to health. The focus groups agreed that 1) Ethnicity should not be prescribed by others; individuals could be asked to describe their ethnicity in free-text which researchers could synthesise to extract relevant dimensions of ethnicity for their research; 2) Ethnicity changes over time and context according to personal experience, social pressure, and nationality change; 3) Migrants and non-migrants' lived experience of ethnicity is not fully inter-changeable, even if they share the same ethnic category. Conclusions: Ethnicity is a multi-dimensional construct, but this is not currently reflected in UK health research studies, where ethnicity is often aggregated and analysed without justification. Researchers should communicate clearly how ethnicity is operationalised for their study, with appropriate justification for clustering and analysis that is meaningfully theorised. We can only start to tackle ethnic health inequity by treating ethnicity as rigorously as any other variables in our research. [ABSTRACT FROM AUTHOR]

Robust indicators are important for identifying disadvantaged pupils in education, and for ensuring that they are rightly receiving relevant state-funded assistance. This paper compares the quality and completeness of data from England on student eligibility for free school meals (FSM) based on an administrative census, with more all-encompassing household income measures, from a smaller sample of young people. The first measure comes from the National Pupil Database (NPD), and the second from Next Steps (NS). The two datasets are linked at the individual student level. In this restricted group, FSM data is more complete (97%) than household income (47%). The bias created by missing data on income in NS calls into question its more general usefulness for analysts. FSM cannot be read neatly from income, such as referring to an income below a certain level, and vice versa. Many reportedly low-income children are not listed as FSM-eligible. However, the two values are linked, while each also provides unique information. Both measures predict attainment at school, to some extent. The paper concludes that FSM is the more practical measure at present, but also considers how access to limited income data could be made more widespread while maintaining individual data rights. [ABSTRACT FROM AUTHOR]

Copyright of Polish Statistician / Wiadomości Statystyczne is the property of State Treasury - Statistics Poland and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Sociology: Bulletin of the Yerevan State University / Banber Erevani Hamalsarani. Sots'iologia is the property of Publishing House of Yerevan State University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Background: Implementation evaluation should focus on implementation success, guided by theories and frameworks. With high staff vacancies in the health services, it is important to consider pragmatic methods of data collection for implementation evaluation. This paper presents a cross-sectional rapid evaluation of a handheld medical device designed for remote examinations, piloted in Northern England. By using downloaded device data and administrative records mapped to domains from the implementation outcomes framework, this evaluation offers a pragmatic example of assessing implementation success. Methods: The pilot design was pragmatic: sites volunteered, decided which services to use the device in, and launched when ready. The pilot and evaluation together lasted 1 year. Data was downloaded from the devices, and administrative records for the pilot accessed. Variables were mapped to five of the implementation outcomes, after reviewing with the device manufacturer and pilot team to assess robustness. Results: N=352 care episodes were recorded using the device with 223 patients. Out of 19 sites 'signed up' to the pilot, 5 launched and delivered 10 of 35 proposed projects: a site and project adoption rate of 26 and 29%, respectively. Six sites signed up to an extension period; three had launched and three had not during the original timelines, indicating some sustainability. Feasibility was high, with only one in seven care episodes needing to be repeated due to poor device quality or error (sound/audio/internet). Fidelity of device usage was low for two of the eight available device examinations. Device and staffing costs were high but potential cost savings were attributable to fewer in-person appointments. Conclusions: Through using device and administrative data, this evaluation minimised burden on busy healthcare staff yet was still guided by an evaluation framework. Five out of the eight implementation outcomes were measured, including sustainability and costs. The findings give insight into implementation challenges, particularly around adoption. For future research, it is recommended to engage with staff to prioritise outcome measurements and to focus on meaningful interpretation of indicators. [ABSTRACT FROM AUTHOR]

This paper investigates firms' responses to threshold-dependent intensity of tax enforcement. We use administrative tax return data over the entire population of German firms and exploit industry variation in firm size thresholds applied by the tax administration. In our setting, each threshold marks a considerable spike in audit intensity and hence should create strong incentives to bunch below the threshold. However, we find no such effect in our large sample analysis. We attribute this empirical observation to optimization costs, particularly to the costs associated with the operational implementation of size management and to information costs. Our paper adds to the emerging field of studies on potential distortions created by threshold-dependent firm regulation. The findings are also relevant for policymakers, as they suggest that the specific design of threshold-dependent policies might allow governments to increase the efficiency of tax audits without distorting the firm size distribution. [ABSTRACT FROM AUTHOR]

In 2020 the U.S. Federal Committee on Statistical Methodology (FCSM) released "A Framework for Data Quality", organized by 11 dimensions of data quality grouped among three domains of quality (utility, objectivity, integrity). This paper addresses the use of the FCSM Framework for data quality assessments of blended data. The FCSM Framework applies to all types of data, however best practices for implementation have not been documented. We applied the FCSM Framework for three health-research related case studies. For each case study, assessments of data quality dimensions were performed to identify threats to quality, possible mitigations of those threats, and trade-offs among them. From these assessments the authors concluded: 1) data quality assessments are more complex in practice than anticipated and expert guidance and documentation are important; 2) each dimension may not be equally important for different data uses; 3) data quality assessments can be subjective and having a quantitative tool could help explain the results, however, quantitative assessments may be closely tied to the intended use of the dataset; 4) there are common trade-offs and mitigations for some threats to quality among dimensions. This paper is one of the first to apply the FCSM Framework to specific use-cases and illustrates a process for similar data uses. [ABSTRACT FROM AUTHOR]

This paper studies the drivers of wage growth in Lithuania over the period 2008–2020. Using administrative data as well as aggregate measures reflecting the state of the economy, we estimate an extended version of a wage Phillips curve. Our reduced-form estimates indicate that nominal wage growth was tightly linked to labor market fluctuation over this period. Labor productivity, changes in the minimum wage, and the composition of employment also contributed to wage dynamics. However, we find little evidence that past inflation has been a push factor. To understand the underlying economic primitives behind our findings, we estimate a structural Bayesian autoregressive model. Our structural analysis reveals a significant contribution from aggregate supply shocks, reflecting a stronger relationship between productivity and wages than implied by our reduced-form estimates. Moreover, a historical decomposition reveals that since 2013, wages grew over and above productivity due to rising aggregate demand and labor market disturbances. [ABSTRACT FROM AUTHOR]

Objective: To describe change in costs to different funders over time for women giving birth in Queensland between 2012 and 2018. Methods: A whole-of-population linked administrative dataset was used that contained all health service use in Queensland for women who gave birth between 1 July 2012 and 30 June 2018 and their babies. Aggregated costs for mother and baby from pregnancy to 12 months postpartum were used to compare the change in costs to funders over time. Results: There was an increase in mean total cost to all funders per birth in the public system and private system from 2012 to 2018. North West Hospital and Health Service (HHS) had the highest mean total cost (in Australian dollars) in 2018 (A$42 353), while home births had the lowest (A$6105). For the majority of HHSs the proportion of births with a positive birth outcome (as defined by a composite outcome measure) has remained largely static or declined during this time period. Cairns and Hinterland HHS and Townsville HHS had the largest declines of 15% and 16% respectively, while mean total cost to all funders rose 36.39% and 46.41%, respectively. Conclusions: There has been an increase over time across Queensland in the cost of childbirth in public hospitals and in the private system, while the cost of home birth has remained static. For most HHSs this increase in cost is also associated with little change or a decline in the percentage of births with a positive outcome. Increases in cost are therefore not being translated into better outcomes for women and their babies. Routine performance monitoring of cost, quality and safety should be adopted to ensure the provision of high value maternity care in Australia. What is known about the topic? Public maternity care costs vary in Australia dependent upon place of birth, even after adjusting for clinical and demographic factors. What does this paper add? This paper compares the change in costs for mother and baby from birth through to 12 months for births across Queensland over time. Costs for maternity care have increased over time and higher-cost treatment does not necessarily result in better health outcomes. What are the implications for practitioners? Reporting of cost alongside clinical outcomes should be included in performance monitoring of public hospital maternity care. [ABSTRACT FROM AUTHOR]

As part of a set of papers using the same methods and sample selection criteria to estimate trends in male earnings volatility across survey and administrative datasets, we conduct a new investigation of male earnings volatility using data from the Survey of Income and Program Participation (SIPP) survey and SIPP-linked administrative earnings data (SIPP GSF). We find that the level of volatility is higher in the administrative earnings histories in the SIPP GSF than in the SIPP survey but that the trends are similar. Between 1984 and 2012, volatility in the SIPP survey declines slightly while volatility in the SIPP GSF increases slightly. Including imputations due to unit nonresponse in the SIPP survey data increases both the level and upward trend in volatility and poses a challenge for estimating a consistent series in the SIPP survey data. Because the density of low earnings differs considerably across datasets, and volatility may vary across the earnings distribution, we also estimate trends in volatility where we hold the earnings distribution fixed across the two data sources. Differences in the underlying earnings distribution explain much of the difference in the level of and trends in volatility between the SIPP survey and SIPP GSF. [ABSTRACT FROM AUTHOR]

Summary: This paper proposes an instrumental variable regression estimator of population totals using a sample, a set of links between the sample units and records on an administrative file, and a set of calibration totals calculated from the administrative file. This paper proposes a survey‐weighted estimator of a population total that is valid when the survey non‐response mechanism is non‐ignorable and false negatives occur in the administrative‐survey linkage. False negatives lead to measurement error in the administrative variables that are available on the survey and will lead to biased estimates if not taken into account. We show the benefit of the proposed approach in a simulation and in a case study. [ABSTRACT FROM AUTHOR]

The paper deals with the concept and the definitions of hard-to-reach groups and the ways of capturing them in administrative sources, providing a detailed discussion of the meaning of hard-to-reach in the context of administrative sources and in relation to the traditional hard-to-count groups in censuses and surveys. The review of country practices shows that hard-to-reach populations in administrative data can be interpreted in different ways and that their definition is dependent on countries' circumstances, though there are two main reasons for identifying a group as hard-to-reach in administrative sources. One of the interpretations is selecting some groups, typically considered difficult to reach with traditional survey methods (such as homeless, illegal immigrants or indigenous people) and then trying to capture them in registers to overcome the challenges of traditional field collection or to get more complete information. At first glance, administrative data might offer the potential to improve frame coverage for some target populations, but may also lead to other hard-to-reach or "hidden" populations for different population groups. Indeed, another interpretation refers to the incompleteness of registers or linked administrative databases, which makes some groups, such as children or elders, hard-to-reach and hence describe with data, due to time lag in reporting of some events or to other accuracy problems with the source itself. The paper summarizes the experience of national statistical offices in accessing hard-to-reach groups and describes problems and challenges in capturing them. It also proposes further possible work to improve access to hard-to-reach groups using administrative data. [ABSTRACT FROM AUTHOR]

Like many countries, Ireland has been researching new systems of population estimates compiled using administrative data. Ireland does not have a Central Population Register from which the estimates can be compiled. The primary step in compiling population estimates from administrative data is to first build a Statistical Population Dataset (SPD). Ideally an SPD will have one record for each person in the population containing the relevant attributes. The ideal SPD then allows compilation of statistics by simply counting over records. In practice, the compilation of SPDs is prone to error. These errors can be classified into 4 types of error; overcoverage, undercoverage, domain misclassification and linkage error. Ireland, to date, has investigated 2 different approaches to the compilation of population estimates from administrative data. The first, labeled in this paper as the simple count method, is based on building an SPD which minimises the overall number of individual record errors such that simple counts from the SPD will provide population estimates. The second, labeled in this paper as the estimation method, is based on building an SPD which aims to eliminate all error types bar that of undercoverage and then adjusts counts for undercoverage using Dual System Estimation (DSE) methods to obtain population estimates. This paper explores the advantages and disadvantages of both methods before considering how they could be integrated to eliminate the disadvantages. Many NSIs will be considering similar challenges when compiling annual Census like population estimates and this paper aims to contribute to that discussion. [ABSTRACT FROM AUTHOR]

The Global Repository of Income Dynamics (GRID) is a new open-access, crosscountry database that contains a wide range of micro statistics on income inequality, dynamics, and mobility. It has four key characteristics: it is built on micro panel data drawn from administrative records; it fully exploits the longitudinal dimension of the underlying data sets; it offers granular descriptions of income inequality and income dynamics for finely defined subpopulations; and it is designed from the ground up with the goals of harmonization and cross-country comparability. This paper introduces the database and presents a set of global trends in income inequality and income dynamics across the 13 countries that are currently in GRID. Our results are based on the statistics created for GRID by the 13 country teams who also contributed to this special issue with individual articles. [ABSTRACT FROM AUTHOR]

Over the past three decades, synthetic data methods for statistical disclosure control have continually evolved, but mainly within the domain of survey data sets. There are certain characteristics of administrative databases, such as their size, which present challenges from a synthesis perspective and require special attention. This paper, through the fitting of saturated count models, presents a synthesis method that is suitable for administrative databases. It is tuned by two parameters, σ and α. The method allows large categorical data sets to be synthesized quickly and allows risk and utility metrics to be satisfied a priori, that is, prior to synthetic data generation. The paper explores how the flexibility afforded by two‐parameter count models (the negative binomial and Poisson‐inverse Gaussian) can be utilised to protect respondents'—especially uniques'—privacy in synthetic data. Finally, an empirical example is carried out through the synthesis of a database which can be viewed as a good substitute to the English School Census. [ABSTRACT FROM AUTHOR]

Although the temporary employment services (TES) or labour broker sector has been growing in recent decades, and there has been much heated public debate on whether the jobs offered constitute 'decent work', there has been little empirical research on this sector in developing countries. In this paper, we use a unique administrative panel dataset based on income tax records for the period 2011–2015 in South Africa, to explore the wage and benefits differentials between TES and non-TES workers. We find a substantial gross wage differential of around 88 per cent, which remains high at 34 per cent even after accounting for worker fixed effects and controlling for the individual and job characteristics available in the data. We also show that TES workers are much less likely to report benefit contributions than non-TES workers, and when they do, their contributions as a percentage of the gross wage are on average much lower than among non-TES workers. These results add substance to the arguments that TES workers are in a more precarious position than non-TES workers, and that this form of employment contributes to high levels of labour market inequality in South Africa. [ABSTRACT FROM AUTHOR]

This paper aims to analyze the effect on measured inequality and its structure of using administrative data instead of survey data. Different analyses are carried out based on the Spanish Survey on Income and Living Conditions (ECV) that continued to ask households for their income despite assigning their income data as provided by the Tax Agency and the Social Security Administration. Our main finding is that the largest discrepancies between administrative and survey data are in the tails of the distribution. In addition to that, there are clear differences in the level and structure of inequality across data sources. These differences matter, and our results should be a wake-up call to interpret the results based on only one source of income data with caution. [ABSTRACT FROM AUTHOR]

Delays at court are an everlasting and potentially consequential reality of criminal justice systems, although most would agree that the timely adjudication of cases is needed from both administrative, judicial, and individual perspectives. This paper uses administrative data and a policy reform in Denmark in 2007 to measure the unconfounded association between court delays – or, more specifically, time to adjudication – and criminal recidivism within 5 years. Results show that although court delays do not push more people into recidivism, the delays matter for how many crimes recidivists end up being convicted of. Also, criminality tends to be muted during the period from charge to adjudication (even in a context with low use of pretrial detention and no bail system), whereby court delays also matter for the timing of new crimes – a finding with important theoretical implications. [ABSTRACT FROM AUTHOR]

Abstract Background Universal health visiting has been a cornerstone of preventative healthcare for children in the United Kingdom (UK) for over 100 years. In 2016, Scotland introduced a new Universal Health Visiting Pathway (UHVP), involving a greater number of contacts with a particular emphasis on the first year, visits within the home setting, and rigorous developmental assessment conducted by a qualified Health Visitor. To evaluate the UHVP, an outcome indicator framework was developed using routine administrative data. This paper sets out the development of these indicators. Methods A logic model was produced with stakeholders to define the group of outcomes, before further refining and aligning of the measures through discussions with stakeholders and inspection of data. Power calculations were carried out and initial data described for the chosen indicators. Results Eighteen indicators were selected across eight outcome areas: parental smoking, breastfeeding, immunisations, dental health, developmental concerns, obesity, accidents and injuries, and child protection interventions. Data quality was mixed. Coverage of reviews was high; over 90% of children received key reviews. Individual item completion was more variable: 92.2% had breastfeeding data at 6–8 weeks, whilst 63.2% had BMI recorded at 27–30 months. Prevalence also varied greatly, from 1.3% of children’s names being on the Child Protection register for over six months by age three, to 93.6% having received all immunisations by age two. Conclusions Home visiting services play a key role in ensuring children and families have the right support to enable the best start in life. As these programmes evolve, it is crucial to understand whether changes lead to improvements in child outcomes. This paper describes a set of indicators using routinely-collected data, lessening additional burden on participants, and reducing response bias which may be apparent in other forms of evaluation. Further research is needed to explore the transferability of this indicator framework to other settings.

The Integrated Data Infrastructure (IDI) is a collection of deidentified whole population administrative datasets, linked at the individual level, and made available through Stats NZ for 'public good' research. This paper reviews longitudinal research that has been undertaken using the IDI, and highlights the strengths, weaknesses, opportunities, and threats of using the IDI for longitudinal research. It is argued that the IDI can and has been used for longitudinal research that would be difficult or impossible to undertake without a resource such as the IDI, including longitudinal research involving small, sometimes marginalised populations, research involving intergenerational research and quasi-experimental family designs, and research investigating residential variations in the natural environment. However, issues regarding ethical governance need addressing. Researchers wishing to use the IDI should familiarise themselves with its limitations, particularly around what service use data capture and what this represents, what is missed by assessing only deficit-focused data, and the variable quality of the data. [ABSTRACT FROM AUTHOR]

The authors use de-identified data from California personal income tax returns to measure the frequency and nature of independent contracting and self-employment in California. They identify this work by the presence of a Schedule C on the tax return and/or the receipt of a Form 1099 information return. The authors estimate that 14.4% of California workers aged 18 to 64 in tax year 2016 had some independent contracting or self-employment income and approximately half of this subgroup also had earnings from traditional W-2 jobs during the year. Only a small share (1.4%) of workers had earnings from online labor platforms (often called gig work). Workers with low earnings were significantly more likely to earn independent contracting or self-employment income and to rely primarily or exclusively on that income. The article explores the characteristics of workers engaging in independent contracting and self-employment and their distribution across family type, geography, and industry. [ABSTRACT FROM AUTHOR]

Administrative data sets can play a key role in informing and influencing education provision. To date, longitudinal analysis of special educational needs (SEN) in Northern Ireland (NI) has not been a visible feature of policy discourse, even though the number of these pupils has increased at a rate that is proportionally higher than the general school population. To better understand the prevalence of SEN, this paper utilises secondary educational data collected between 2010/11 and 2021/22 to interrogate trends in NI as well as relative to other jurisdictions. Findings identify the intricacy of comparative analysis, not least due to differing approaches to data collection and reporting, as well as approaches to assessment and identification of SEN. More specifically, within the NI context, the findings identify fundamental trends across school types. The association between these trends and significant policy changes in how SEN is identified, recorded and reported is critically considered. The utility of big data is discussed, including implications for generating robust evidence, contributing to forward-planning on the future monitoring of, and provision for, SEN, and reinforcing the need for accessible new data to improve the visibility of SEN in the region. [ABSTRACT FROM AUTHOR]

Copyright of EMPIRIA: Revista de Metodología de Ciencias Sociales is the property of Editorial UNED and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Statistics Canada has maintained statistical business and address registers for decades. Its Statistical Business Register is continuously being modernized to adapt to needs for more and more timely business and institutional statistics at lower levels of geography. The statistical address register is being replaced in 2022 by a Statistical Building Register that expands coverage to the non-residential building units and includes more attributes. Since 2016, Statistics Canada had also been investigating options to add a population component to this integrated system of registers. The organization settled in 2021 on a privacy-responsible population linkage infrastructure that is designed with privacy in mind from the onset. This paper presents how the privacy landscape has evolved and shaped the statistical register infrastructure in Canada. It also describes the Secure Infrastructure for Data Integration that will be elaborated to produce reference population files to support the production of statistical information for Canadians, and how it is entrenched in privacy principles. [ABSTRACT FROM AUTHOR]

AbstractInsecure housing—particularly for low-income groups—constitutes a critical and enduring social problem. While Permanent Supportive Housing (PSH) initiatives show promise as a solution to mitigate this issue, research assessing their impact remains limited. This paper makes three contributions to the empirical PSH literature: it develops a novel framework to measure the success of PSH tenancy outcomes; it expands the evidence-base to consider the role of tenancy issues and provider-initiated tenancy-sustainment supports; and it provides new evidence on a single-site PSH initiative in Queensland (Australia)—Brisbane Common Ground (BCG). We use 10 years’ worth of administrative data on all 417 tenancies—both concluded and ongoing—taking place since the onset of BCG in July 2012 and up to November 2022. Our main analyses combine descriptive statistics, event-history analyses, and logistic regression models. Results reveal significant heterogeneity in the probability of experiencing positive PSH tenancies across socio-demographic groups, the intervening role of tenancy issues, and the partially protective role of provider tenancy-sustainment initiatives. The results, however, vary depending on the lens through which PSH tenancy outcomes are viewed. These findings stress the need for targeted PSH strategies that better cater for the complex needs of specific subgroups of tenants. [ABSTRACT FROM AUTHOR]

This paper exploits a quasi-experimental feature of the Norwegian spatial dispersal policy for UNHCR quota refugees, which leads to nearly as-if random initial residential settlement of the refugees. In this framework, we study if there are positive long-run employment consequences of being assigned to neighbourhoods with higher residential labour force participation rates. Our results show a positive and statistically significant relationship between the initial neighbourhood participation rates and refugee labour market outcomes, but these overall effects are substantively small: A one standard deviation higher participation rate in the initial neighbourhood is associated with an 1.2%-point increase in the refugees' later employment probability. However, our subgroup analysis shows substantial effects around 2.6%-points for men older than 25 years at the time of entry to Norway. In comparison, the point estimates for women and persons younger than 25 years at the time of arrival are close to zero and statistically insignificant. [ABSTRACT FROM AUTHOR]

The level of detail, coverage, accuracy, completeness and time range of personnel expenditure data available in the transversal payroll system used by South African national and provincial government departments, PERSAL, offers opportunities for wage bill analysis that is not possible with the more common and well-known approaches of using either highly summarised tabled data, reported data or survey data. This paper describes a methodology that was developed to extract trends in the wage bill and personnel numbers. The key drivers of total wage bill growth have been identified as personnel growth and salary growth and this paper demonstrates how to disaggregate total growth into these two key drivers. The full-time equivalent is proposed as a measure for annual headcounts, as it provides an accurate summary. Appropriate stratification when analysing the impact of remuneration policies is highlighted. The structuring of payroll data as employees’ career trajectories enables the analysis of changes at the personal level, adding insight to into personnel movements and improvements in salaries. [ABSTRACT FROM AUTHOR]

Worldwide, large amounts of administrative data are collected within official statistics systems on Indigenous Peoples. These data are primarily used for government and state policy purposes as opposed to by Indigenous Peoples to support Indigenous agendas (Taylor & Kukutai, 2017). In Aotearoa me Te Waipounamu New Zealand, Māori need high quality data to develop evidence-based policies and programs and to monitor government policies that impact on Māori. In this methodological paper, we describe uses of administrative data for Māori and current barriers to its use. We outline the development of a novel administrative data infrastructure and future longitudinal study. By explicating our Indigenous initiated, designed and controlled data project, we make a methodological contribution to Indigenous Data Sovereignty and Kaupapa Māori (Māori worldview) epidemiology. [ABSTRACT FROM AUTHOR]

International organisations recently brought good governance and peace in the forefront of the development agenda. The measurement of related indicators, which differ by their nature, their sources and the institutions in charge of their collection, with National Statistics Institutes in the frontline, as well as their analyses keep growing. This paper introduces the special issue of nine articles on the measurement and analyses of Governance, Peace and Security statistics in four continents. It presents initiatives for some led by the only UN city group on statistical methodologies based in Africa, the Praia Group. Members of the latter group describe the advances and challenges such data collection implies particularly in time of pandemics. Following articles focus on the state of the art of statistics about transparency in Brazil, criminal violence in France and conflict more broadly. A set of articles in four African countries interrogate the relationship between perceptions and experiences and analyse their determinants. The issue ends with the works of international leaders in governance data collection, Mali and Peru. This special issue shows how statistical data on governance make a twofold contribution to achieving the principles of SDG 16 by providing reliable indicators and voicing public opinion to governments. [ABSTRACT FROM AUTHOR]

Copyright of Urban Studies (Sage Publications, Ltd.) is the property of Sage Publications, Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

There is limited research that examines the employment-related geographical mobility (E-RGM) of journeypersons in the construction industry. Such an investigation is important because migration can help reduce labour shortages and surpluses and allow journeypersons to obtain gainful employment. In this paper we investigate the E-RGM of construction industry journeypersons. Drawing on data from the Education and Labour Market Longitudinal Platform (ELMLP) from 2008 to 2016, we find that while Ontario and Alberta gain the most migrants, the Atlantic region has more than 30% of its workforce that engages in E-RGM. Of the most mobile trades are steamfitters and pipefitters, ironworkers, and construction trade helpers and labourers. Moreover, those who are married, immigrants, and women are less likely to engage in E-RGM than are single journeypersons, non-immigrants, and men. Red Seal trades or endorsements were associated with greater mobility; however, whether journeypersons were registered in their province of residence was the greatest predictor of mobility. This finding suggests that while Red Seal programs have succeeded in creating standardised expectations across provinces and territories, place of residence has important implications for E-RGM of construction industry journeypersons. These findings point to the need for more research that examines the root causes of migration. [ABSTRACT FROM AUTHOR]

This paper builds upon existing scholarship on changing patterns and processes of internal migration, especially the surprising recently documented trend towards falling internal migration intensities since the late 20th century in many developed countries. The analysis is based on new research opportunities presented by the recent linking of administrative health data into the census‐based Scottish Longitudinal Study and points to a modest recent decrease in aggregate rates of address changing within Scotland. This decline is partly driven by the population subgroups that have been conventionally most mobile, especially over longer distances, becoming less migratory. This supports the notion of an evening out of some of the main socio‐economic determinants of migration and validates calls for a greater emphasis on the drivers and consequences of population immobility within migration studies. [ABSTRACT FROM AUTHOR]

Studies on health insurance coverage often rely on measures self‐reported by respondents, but the accuracy of such measures has not been thoroughly validated. This paper is the first to use linked Australian National Health Survey and administrative population tax data to explore the accuracy of self‐reported private health insurance (PHI) coverage in survey data. We find that 11.86% of individuals misreport their PHI coverage status, with 11.57% of true PHI holders reporting that they are uninsured and 12.37% of true non‐insured persons self‐identifying as insured. Our results show reporting errors are systematically correlated with individual and household characteristics. Our evidence on the determinants of errors is supportive of common reasons for misreporting. We directly investigate biases in the determinants of PHI enrollment using survey data. We find that, as compared to administrative data, survey data depict a quantitatively different picture of PHI enrollment determinants, especially those capturing age, gender, language proficiency, labor force status, disability status, number of children in the household, or household income. We also show that PHI coverage misreporting is subsequently associated with misreporting of reasons for purchasing PHI, type of cover and length of cover. [ABSTRACT FROM AUTHOR]

This paper studies earnings inequality and dynamics in Argentina between 1996 and 2015. Following the 2001-2002 crisis, the Argentine economy transitioned from a low- to a high-inflation regime, while collective bargaining and the minimum wage gained influence. This transition was associated with a persistent decrease in earnings dispersion and cyclical movements in higher-order moments of the distribution of earnings changes. To shed light on the changing nature of wage rigidity during this period, we develop a new method to estimate regularwage processes. As the Argentine economy transitioned from low to high inflation, the monthly frequency of regular-wage changes almost doubled, while the distribution of regular-wage changes morphed from having a mode around zero and positive skewness to having a positive mode and more symmetric tails. [ABSTRACT FROM AUTHOR]

This paper presents the statistical contingency plan for the 2021 Canadian Census of Population, developed in response to the COVID-19 pandemic, wherein administrative data was to impute non-responding households in areas with a low response rate and where the administrative data were of sufficient quality. We describe the modeling approach for predicting the quality of data available for administrative households, including important extensions to existing approaches. As well, we provide a framework for evaluating direct imputation using administrative data, relative to traditional donor imputation, in the absence of a simulation study. We conclude by discussing the evaluation using preliminary data and subsequent implementation for the 2021 Canadian Census of Population. [ABSTRACT FROM AUTHOR]

A Census of a nation's people and housing provides statistics about its health, income and social structures at a local level. While the demand for these statistics is unchanged the way they are collected is changing in many nations because of common drivers: cost pressure, web-based collection, decreasing response rates, environmental shocks and the availability of administrative data. Within this context, this paper gives an overview of the evolution of the Census in Israel, Italy, New Zealand, and the United Kingdom and thereby provides an insight of the challenges and solutions of the modern Census. [ABSTRACT FROM AUTHOR]

Abstract Background The ethnicity data gap pertains to 3 major challenges to address ethnic health inequality: 1) Under-representation of ethnic minorities in research; 2) Poor data quality on ethnicity; 3) Ethnicity data not being meaningfully analysed. These challenges are especially relevant for research involving under-served migrant populations in the UK. We aimed to review how ethnicity is captured, reported, analysed and theorised within policy-relevant research on ethnic health inequities. Methods We reviewed a selection of the 1% most highly cited population health papers that reported UK data on ethnicity, and extracted how ethnicity was recorded and analysed in relation to health outcomes. We focused on how ethnicity was obtained (i.e. self reported or not), how ethnic groups were categorised, whether justification was provided for any categorisation, and how ethnicity was theorised to be related to health. We held three 1-h-long guided focus groups with 10 young people from Nigeria, Turkistan, Syria, Yemen and Iran. This engagement helped us shape and interpret our findings, and reflect on. 1) How should ethnicity be asked inclusively, and better recorded? 2) Does self-defined ethnicity change over time or context? If so, why? Results Of the 44 included papers, most (19; 43%) used self-reported ethnicity, categorised in a variety of ways. Of the 27 papers that aggregated ethnicity, 13 (48%) provided justification. Only 8 of 33 papers explicitly theorised how ethnicity related to health. The focus groups agreed that 1) Ethnicity should not be prescribed by others; individuals could be asked to describe their ethnicity in free-text which researchers could synthesise to extract relevant dimensions of ethnicity for their research; 2) Ethnicity changes over time and context according to personal experience, social pressure, and nationality change; 3) Migrants and non-migrants’ lived experience of ethnicity is not fully inter-changeable, even if they share the same ethnic category. Conclusions Ethnicity is a multi-dimensional construct, but this is not currently reflected in UK health research studies, where ethnicity is often aggregated and analysed without justification. Researchers should communicate clearly how ethnicity is operationalised for their study, with appropriate justification for clustering and analysis that is meaningfully theorised. We can only start to tackle ethnic health inequity by treating ethnicity as rigorously as any other variables in our research.

Identity and ownership are two conceptual pillars used to define Indigenous enterprise. Approaches that use administrative data offer the opportunity to identify Indigenous-owned enterprises without the burden of a survey. It remains unclear, however, if Indigenous-owned enterprises are also likely to self-identify as Indigenous. Thus, in this paper we examine if self-identification as an Indigenous business in Aotearoa New Zealand is driven by Māori ownership. We link information from businesses that had the opportunity to self-identify as Māori in an annual survey with administrative data from Stats NZ's Integrated Data Infrastructure to calculate their proportion of Māori ownership. Then, we fit models of varying complexity using a Bayesian multilevel approach to predict the probability of self-identification as a Māori business as a function of businesses' demographic variables and proportion of Indigenous ownership. Using model comparison and out-of-sample predictions we show that Māori ownership is a weak predictor of self-identification as a Māori business. We also show how the probability of self-identification as an Indigenous enterprise changes between regions, sectors, and industries to illustrate the benefits of a quantitative approach to target businesses likely to self-identify as Māori. Predicting the extent to which enterprise owners might choose to self-identify as a Māori business is critical to identifying a robust population of Indigenous businesses and to have better estimates of the Indigenous economy. [ABSTRACT FROM AUTHOR]

German official statistics publish statistics on personal insolvency. These statistics have been recently enhanced using web scraping to extract additional information from a public website on which the insolvency announcements are published. The currently scraped data is used for quality assurance and to derive an early indicator of personal insolvency. This paper provides novel methodological analyses for the same administrative database and presents further opportunities to improve the current official statistics regarding detail and timeliness using web scraping and text mining. These newly derived statistics inform on several aspects regarding personal insolvency's demographic and spatial distribution. [ABSTRACT FROM AUTHOR]

This paper is the first to investigate the relevance of the 'granular hypothesis" proposed by Gabaix (Econometrica 2011) for employment growth. Using comprehensive data for Germany, we show that the establishment size distribution in terms of employment is indeed fat-tailed and that idiosyncratic shocks to large establishments explain a substantial portion of aggregate employment change. This relationship is more pronounced in the manufacturing than the service sector. Our findings may be an argument for stabilizing the largest establishments when hit by negative idiosyncratic shocks, since their employment fluctuations could spill over to aggregate employment growth. [ABSTRACT FROM AUTHOR]