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This paper discusses how professionally qualified cisgender lesbian, gay, bisexual or queer (LGBQ) women youth workers present their self. The research examined how youth workers consciously or unconsciously shared their sexual identity with young people with whom they worked. Whilst this research focussed on youth workers, issues discussed are relevant for practitioners from a range of professional backgrounds such as therapists, social workers, teachers and health care practitioners. The research focused only on the experiences of cisgender LGBQ women as the experiences of men and trans women are different and so requires separate research.

This research taking a qualitative approach, used in-depth interviews to discuss how respondents shared information about their identity.

Some of fifteen youth workers interviewed reported not having choices about being out with the young people as their sexuality had been leaked. Others were able to pass and so choose when, or if, to be out with young people. Their different strategies to sharing information regarding their sexuality used by these participants reflected different approaches to being out.

Although there is evidence in the literature of how being out or closeted impacts on teachers there is little written about the effect on youth workers or other professionals. The little research that has been undertaken in this area focusses on the impact of identity on the clients rather than on the professionals. This article contributes to filling this gap in the literature.

This study aims to examine the impact of lending liquidity on house prices especially during black swan events such as the Global Financial Crisis of 2007–08 and COVID-19. Homeownership is an important goal for many, and house prices are a significant driver of household wealth and the wider economy. This study argues that excessive liquidity from central banks may be driving house price increases, despite negative changes to fundamental drivers. This study contributes to the literature by examining lending liquidity as a driver of house prices and evaluating the efficacy of fiscal policies aimed at boosting liquidity during black swan events.

This study aims to examine the impact of quantitative easing on Australian house prices during back swan events using data from 2004 to 2021. All macroeconomic and financial data are freely available from official sources such as the Australian Bureau of Statistics and the nation's Central Bank. Methodology wise, given the problematic nature of the data such as a mixed order of integration and the possibility of cointegration among some of the I(1) variables, the auto-regressive distributed lag model was selected given its flexibility and relative lack of assumptions.

The Australian housing market continued to perform well during the COVID-19 pandemic, with the house price index reaching an unprecedented high towards the end of 2021. Research using data from 2004 to 2021 found a consistent positive relationship between house prices and housing finance, as well as population growth and the value of work commenced on residential properties. Other traditional drivers such as the unemployment rate, economic activity, stock prices and income levels were found to be less significant. This study suggests that quantitative easing implemented during the pandemic played a significant role in the housing market's performance.

Given the severity of COVID-19, policymakers have responded with fiscal and monetary measures that are unprecedented in scale and scope. The full implications of these responses are yet to be completely understood. In Australia, the policy interest rate was reduced to a historic low of 0.1%. In the following periods house prices appreciated by over 20%. The efficacy of quantitative easing and associated fiscal policies aimed at boosting liquidity to mitigate the impact of black swan events such as the pandemic has yet to be tested empirically. This study aims to address that paucity in literature by providing such evidence.

The purpose of this article is to provide a critical account of the hate crime (HC) paradigm by exploring its historical legal definition and the limitations in addressing the multiple and structural discriminations faced by minority groups. Specifically, the article focuses on the case of Italy, where in recent years a fierce debate over a proposed law on HC against LGBT+ and disabled people ended in its rejection due to neoconservative and Catholic opposition.

Drawing on critical socio-criminological literature on HC, the paper analyses the Italian debates and socio-legal context over the past two decades regarding discrimination against LGBT+ groups and its (lack of) criminalization. It also provides a secondary analysis of recent data on violence and discrimination against LGBT+ people, collected by the Fundamental Rights Agency (FRA).

The analysis of the debate and the data collected shows that the criminal definition of HC is insufficient to capture the wider range of social and cultural violence and discrimination against LGBT+ people. Indeed, data analysis shows the effect of the low level of recognition of rights on the propensity of people to denounce and of social practitioners to recognize, discrimination and violence against LGBT+ people. It is therefore argued that the discussion on HC should move beyond the criminalization of individual violence to be entrenched in a broader reflection over the lack of recognition of sexual citizenship rights which perpetuates the vulnerability of LGBT+ people.

This paper contributes to the international socio-criminological debate on HC. It argues for a comprehensive framework that recognizes the structural nature of discrimination and violence against vulnerable groups by framing discrimination and violence against LGBT+ people as a citizenship right rather than a criminal justice issue.

This study aims to investigate the effect of monetary policy on housing prices for US economy. It specifically examines whether nominal or real interest rates are the key drivers behind fluctuations in housing prices in US.

Monthly data from January 1991 to July 2023 and various appropriate analytical tools such as unit root tests, Johansen’s cointegration test, vector error correction model (VECM), impulse response function and Granger causality test were applied for the data analysis.

The Johansen cointegration findings reveal the presence of a long-term relationship among the variables. VECM results indicate a negative correlation between nominal and real interest rates and housing prices in both the short and long terms, suggesting that a strict monetary policy can help in controlling the housing price increase in the USA. However, housing prices are more responsive to changes in nominal interest rates than to real interest rates. Additionally, the study reveals that the COVID-19 pandemic contributed to the upsurge in housing prices in the USA.

This study contributes by examining the role that nominal or real interest rates play in shaping housing prices in the USA. Moreover, given the recent significant upsurge in housing prices, this study presents a unique opportunity to investigate whether these price increases are influenced by the Federal Reserve's monetary policy decisions regarding nominal or real interest rates. Additionally, using monthly data, this study provides a deeper understanding of the fluctuations in housing prices and their connection to monetary policy tools.

This study aims to develop and validate a scale for measuring accounting service quality (ASQ), which is named ACCOUNTQUAL.

The authors initially investigated the service quality literature in the context of accounting. To develop the scale, the authors carried out three studies. First, the authors conducted 20 in-depth interviews to generate the ASQ items. Then, they undertook a survey with 174 accounting services clients to group these items into factors through exploratory factor analysis (EFA). Finally, the authors carried out another survey with 330 clients to purify and validate the scale through a confirmatory composite analysis (CCA) and structural equation modeling (SEM).

The authors were able to validate the ACCOUNTQUAL scale, which is composed of the following dimensions: efficiency, trust, technological innovation and accountant knowledge, the latter being composed of three aspects: consultative view, technical capacitation and knowledge about clients.

The authors concluded that ASQ is a multidimensional construct that covers the assessment of technical, tooling, relationship and qualification aspects of the accounting service. To the best of the authors’ knowledge, this is the first study that developed and validated a scale for measuring ASQ. If accounting service providers meets the elements presented in the scale, they will potentially deliver a high-quality service.