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The purpose of this paper is to present the views of people living with dementia in extra care housing (ECH). This is a model of housing with care and support aiming to support older people, including those with dementia, to live independently. Previous research identifies benefits but is predominantly derived from third-party accounts, with the voices of those living with dementia in ECH significantly absent.

This study adopted a qualitative approach conducting 100 interviews across 8 ECH schemes in England. Over half of the interviews were conducted with people living with dementia and their families with the remainder involving staff and commissioners.

Findings suggest there are a range of benefits including owning your own home, having a safe, age friendly location with flexible support, social interaction and continuing to live as a couple. Challenges included availability of staff, flexible resourcing, loneliness and the advancing symptoms of dementia.

Despite efforts to create an inclusive, diverse sample, the participants were all White British. Participants involved were identified by gatekeepers, which may present some bias in the selection.

Whilst ECH offers benefits to people living with dementia, addressing the challenges is essential for effective dementia care. Improving staff training, promoting person-centred care and fostering an inclusive community are critical for enhancing residents’ well-being and quality of life.

This paper explored the lived experiences of residents and family members, providing new insight into the advantages and disadvantages of ECH for people living with dementia.

The study analyzes the relationship between homeownership and financial investment of households in the context of emerging markets like India. It also examines how homeownership affects the portfolio decisions of Indian households.

Using the nationally representative All-India Debt and Investment Survey of 2019 and employing an instrumental variable approach, the authors analyze the relationship between homeownership and the share of financial assets held by Indian households. The study also employs several sensitivity checks, including alternate estimation techniques and alternative definitions of the housing variables, and accounts for additional factors to ensure that the authors are able to capture the effect of homeownership on the outcome variable.

The analysis suggests homeownership crowds out financial investment in India due to high repair and maintenance costs. The negative effect is mainly observed in urban households. Further, the findings imply that homeownership leads households to reallocate their asset portfolio. Homeowners have a lower share in liquid short term deposits, indicating the high liquidity risk of their portfolios. On the other hand, homeownership increases the share of long term retirement funds along with no effect on risky asset share. The authors observe that the crowding out effect is more striking for younger households and poorer households with low income, and the effect is lower for indebted households.

The findings underscore the need for financial awareness programs so that housing does not crowd out liquid investments of households. Additionally, the results highlight that policies should first focus on young and poor households as the negative effect is more prominent for these groups. Finally, there is scope for policies to support repair and maintenance costs incurred by vulnerable households to reduce the negative effect of housing on liquid financial investments.

This paper is among the few studies that provide insights into how homeownership relates to financial investment and portfolio decisions in the context of an emerging economy. Furthermore, the heterogeneous effects based on poor economic status and age underscore the need for complementary policies.

The purpose of the study is to emphasise the urgent need for pension policy reform within Indonesia’s social security system.

The methodology employed in this research includes qualitative techniques such as in-depth interviews and thematic content analysis.

The findings suggest various measures for pension reform, including revising eligibility criteria, adjusting benefit designs to cover housing and transportation costs, promoting Defined Benefit Plans, enforcing compliance, addressing insufficient contributions, advocating for transparency, and aligning social assistance programs with pension system enhancements. However, there is a trade-off between the adequacy of pension benefits and the amount of resources required.

This study is limited by the need for more individuals knowledgeable about pension issues in Indonesia, primarily due to their high-ranking positions, making access challenging and potentially compromising the small sample size in research.

The research underscores the importance of maintaining policy consistency. It proposes a gradual increase in pension contributions as a pivotal strategy to ensure sustained financial security for retirees, particularly in the face of fiscal constraints. Also, the government should undertake comprehensive reforms, encompassing the revision of eligibility criteria, adjustment of minimum benefit designs, encouragement of employer contributions and effective management of compliance issues.

Social implications emphasise the importance of enhancing the financial security of retirees within Indonesia’s ageing population.

The originality and value of the research lie in guiding pension reform from the viewpoint of key policymakers involved in Indonesia’s pension system.

Holy cities in India are seeing tremendous gentrification. This study aims to investigate the effect of the changing lifestyle of people towards spirituality and the changing lifestyle's impact on consumer buying behavior on properties in Indian holy cities which has not been studied anecdotally.

The research is exploratory in nature. A questionnaire has been sent to collect primary data through SurveyMonkey. Simple random sampling was used to collect a sample of 450 respondents which was also verified using G* software. The data were analyzed using descriptive statistics and partial least square–structured equation modeling (PLS-SEM).

Findings obtained through the structural model using bootstrapping technique suggest that intrinsic and extrinsic factors are attracting tourists leading to an increase in the demand for real estate in holy cities.

The research findings may vary as per the cultural differences and belief in spirituality, which is subject to perceptual biases in different holy cities.

The traditional determinants of property buying behavior are considered inadequate to attract real estate investments. The inclusion of these behavioral aspects – intrinsic and extrinsic factors may improve the investment inflows in India.

Spirituality connects to the concept of behavioral real estate, where the decision to buy property is largely affected by the emotional attachment of people.

This research adds value to fill the gap by finding out the latent determinant – emotional reasons impacting transnational gentrification in India.

House price fluctuations send vital signals to many parts of the economy, and long-term predictions of house prices are of great interest to governments and property developers. Although predictive models based on economic fundamentals are widely used, the common requirement for such studies is that underlying data are stationary. This paper aims to demonstrate the usefulness of alternative filtering methods for forecasting house prices.

We specifically focus on exponential smoothing with trend adjustment and multiplicative decomposition using median house prices for Sydney from Q3 1994 to Q1 2017. The model performance is evaluated using out-of-sample forecasting techniques and a robustness check against secondary data sources.

Multiplicative decomposition outperforms exponential smoothing at forecasting accuracy. The superior decomposition model suggests that seasonal and cyclical components provide important additional information for predicting house prices. The forecasts for 2017–2028 suggest that prices will slowly increase, going past 2016 levels by 2020 in the apartment market and by 2022/2023 in the detached housing market.

We demonstrate that filtering models are simple (univariate models that only require historical house prices), easy to implement (with no condition of stationarity) and widely used in financial trading, sports betting and other fields where producing accurate forecasts is more important than explaining the drivers of change. The paper puts forward a case for the inclusion of filtering models within the forecasting toolkit as a useful reference point for comparing forecasts from alternative models.

To the best of the authors’ knowledge, this paper undertakes the first systematic comparison of two filtering models for the Sydney housing market.

The purpose of this study is to use a lifetime income measure to evaluate the long-run housing affordability for an understudied cohort of households in the literature – the millennials. The authors do this in the context of Malaysia, measuring long-run affordability for four housing types across geographic locations and income distributions.

This study calculates a long-run housing affordability index (HAI) using data on house prices and household incomes. Essentially a ratio of predicted lifetime incomes to house prices, the HAI is computed for four common housing types in Malaysia from 2005 to 2016 and for six states in the country. The HAI is also compared across four income percentiles.

The analysis reveals varying patterns of housing affordability among different states in Malaysia. Housing affordability has declined since 2010, with most housing types being unaffordable for millennial-led households with the lowest income. Housing is most affordable for those in the highest income bracket, although even here, there are pockets of unaffordable housing as well.

Based on the findings, this study proposes three targeted interventions to improve housing affordability for Malaysian millennials.

This study fills a gap in the literature by examining the long-run housing affordability of Malaysian millennial-led households based on both geographic location and income distribution. The millennial population is understudied in the housing affordability literature, making this study a valuable contribution to the field.

This study aims to explore the situations and socio-economic and health-related factors associated with employment of older men and women in Vietnam.

This study used the nationally representative data in 2019 with a sample size of 3,049 older persons (those aged 60 and over). This study applied logistic regression analyses.

This study found that there were significant differences in employment rates between various groups of older men and women in terms of age group, residential place, marital status and educational level. Controlling for age, education, marital status, place of residence and (in) sufficient income for daily living, the results from logistic models indicated that health issues were strongly associated with lower probability to be employed for both genders. In all tests and regression models, that age and health condition were consistently related with lower employment probability of older persons implied an important consideration in raising normal retirement ages for both men and women.

Due to limitation of the cross-sectional data, this research could not explore how health influences older people’s employment overtime.

Findings of this research provide important and adaptive policy insights for Vietnam to take advantage of older workers for economic growth under an aging population.

To the best of the authors’ knowledge, this has been among the first studies exploring the role of health, which was presented by different indicators, determining employment of older men and women in Vietnam.

Organizational scholars studying compensation often place an emphasis on certain employee groups (e.g., executives). Missing from this discussion is research on the compensation systems for low-wage jobs. In this review, the authors argue that workers in low-wage jobs represent a unique employment group in their understanding of rent allocation in organizations. The authors address the design of compensation strategies in organizations that lead to different outcomes for workers in low-wage jobs versus other workers. Drawing on and integrating human resource management (HRM), inequality, and worker literatures with compensation literature, the authors describe and explain compensation systems for low-wage work. The authors start by examining workers in low-wage work to identify aspects of these workers’ jobs and lives that can influence their health, performance, and other organizationally relevant outcomes. Next, the authors explore the compensation systems common for this type of work, building on the compensation literature, by identifying the low-wage work compensation designs, proposing the likely explanations for why organizations craft these designs, and describing the worker and organizational outcomes of these designs. The authors conclude with suggestions for future research in this growing field and explore how organizations may benefit by rethinking their approach to compensation for low-wage work. In sum, the authors hope that this review will be a foundational work for those interested in investigating organizational compensation issues at the intersection of inequality and worker and organizational outcomes.

Retirement is a preparation for transitioning from one role to another and transitioning to a new stage of life. The deepening aging of the population encourages the policymakers to start the Bridge Employment plan when the society faces the unprecedented challenges of decreasing labor supply, heavier burdens of retirement and slow economic growth. The purpose of this study, the decision model for Bridge Employment has been developed by systematically reviewing the research literature.

A bibliometric analysis was conducted to cover publications on Bridge Employment for Return to Work published from 1994 to 2023, including a total of 1,936 publications collected from the Web of Science and Scopus. The patterns and trends in terms of sources of publications, intellectual structure and major topics were analyzed.

After carefully examining the results of the selected studies, three categories of individual (micro level), organizational (medium level) and contextual (macro level) factors were identified as effective factors on bridge employment and model development. Each of the mentioned factors, along with the legal, financial, managerial, educational-administrative and consulting requirements, form the basis for the development of the model and decision framework for Paul’s employment.

This model can be a basis as a framework for bridge recruitment planning so that organizations can once again use their skills–knowledge–expertise in different jobs and even training younger people.