Viet-Ngu Hoang

Migration is frequently linked to housing market pressures, yet evidence remains fragmented across housing outcomes and disciplines. This systematic review synthesises 122 studies published between 2000 and 2026 examining the relationship between migration and housing market outcomes, including house prices, rental prices, housing supply, investment, vacancy rates, availability, and affordability. Following PRISMA guidelines, studies were identified through Scopus, Web of Science, and EconLit. The evidence, primarily from developed economies, indicates that migration generally increases both house prices and rental prices, although the magnitude of effects varies by location, migrant group, and housing market conditions. Migration is also associated with increased housing construction, investment, and housing stock growth, although these supply responses may occur with a lag. Evidence relating to affordability, vacancy rates, and housing availability remains limited. Overall, migration is an important contributor to housing market outcomes, but its effects depend on housing supply responsiveness, local market conditions, and migrant settlement patterns. Future research should place greater emphasis on affordability, vacancy dynamics, and developing-country contexts.

The literature shows that oil shocks have heterogeneous effects on economic activities, energy markets and transition to renewable energy (RE) which are also determined by aggregate factors. The transition from non-RE to RE is only one part of the comprehensive energy transition (ET) framework. Our study provides the first empirical examination of how differing oil market shock types affect this comprehensive ET and considers the mediation effects of key aggregate factors including economic growth, financial development, stringency of environmental regulation, and research and development (R&D) expenditure. Using the Panel Structure Vector Autoregression modeling approach for OECD countries over the period from 1991 to 2020, our results provide several important findings. First, the impacts of oil market shocks on the ET are heterogeneous across the shock types and time horizons. Short-run oil price and aggregate demand shocks encourage more ET (on-impact by 0.05% and 0.01% respectively), and these effects converge in the long run. Oil supply shocks while encouraging ET (by 0.06%) in the long run discourage ET in the short run (on impact by 0.02%). R&D expenditure is the most effective factor in reducing the impact of the oil price shock on ET (from 60 percent in the baseline model to 10 percent when R&D is introduced). The distinct role of the R&D expenditure becomes less dominant for oil supply and aggregate demand shocks. JEL Classification: O3, Q2, Q3, Q4

Dashboards have become a crucial element of contemporary business operation and management; therefore, it is desirable for business students to acquire knowledge of them. This article investigates the effectiveness of designing learning activities around investment dashboards in the context of introductory business analytics (IBA) courses. We design relevant topics, assessment items, and computer tutorial sections using problem-based learning and a constructive alignment approach. Learning activities are structured around a case study in which students learn to collect data, import data into dashboard templates, visualise data, analyse data usings statistical concepts, and present how to use the completed dashboards in making business investment decisions. We use data from student surveys to assess the impact of learning activities on the academic performance and experience of students. Additionally, details of our assessment design are documented, to serve as potential resources for instructors seeking to develop similar courses.

Mandatory vaccination for COVID‐19 has received intense political and ethical debates, while the literature on the causal effects of vaccination mandates on vaccination outcomes is very limited. In this study, we examine the effects of the announcement of vaccine mandates (VMs) for workers working in three sectors, including health, education, and state governments, on the uptake of first‐dose and second‐dose vaccination across 50 states in the United States of America. We show that VM announcements have heterogeneous effects; hence, standard two‐way fixed effects and difference‐in‐differences estimators are biased. We present evidence for the heterogeneous treatment effects in single and two‐treatment settings. In the setting of a single treatment, when treating all VM announcements equally, our results show that VM announcement was associated with an increase of 20.6% first‐dose uptake from 1 July to 31 August 2021. In two‐treatment settings, our results suggest that VM announcements for workers in health or state government sectors have significant causal effects on first‐dose vaccination. Additionally, VM announcements do not have significant causal effects on second‐dose uptake. Our results are robust to the choice of differing outcome variables and periods after controlling for state‐level covariates, including COVID‐19 death, unemployment, and cumulative two‐dose vaccination.

Residential electricity consumption and time spent at home by household members increased while household income decreased during the COVID-19 pandemic restrictions. Using survey data of Japanese households purchasing electricity from the Tokyo Electric Power Company Holdings, before and during the pandemic, we examine the various dynamics at play involving income, increased time spent at home by both partners and the role of genders in energy consumption. Results show a positive relationship between changes in electricity consumption and changes in household income, suggesting that households reduced their electricity usage following a decrease in income. Interestingly, the results also show that consumption changes are positively correlated to changes in hours spent at home by working husbands but negatively correlated to changes in the hours spent at home by working wives.