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This study aims to examine living preference and tenure among millennials, with a particular focus on the impact of ethnic and cultural diversity on housing outcomes including observed homeownership inequalities.

Using the individual panel data from three waves in American Housing Survey, 2015–2019, this study compares the likelihood of co-residing among Asian and Hispanic millennials with non-Hispanic white millennial peers. Furthermore, this study estimates the effect of co-residence on homeownership across generational and ethnic backgrounds.

This study finds a preference for coresident adult familial households among foreign-born Asian and Hispanic millennials, and US-born Hispanic millennials when compared to their non-Hispanic white millennial peers. The results are robust after considering neighborhood selection bias, affordability and education. The effect of co-residence on ownership is significant and positive, suggesting this living arrangement contributes to homeownership across all generational and ethnic groups.

Housebuilders should be aware of Asian and Hispanic millennials’ increased appetite for extended family living arrangements and consider increasing the physical size of affordable or workforce-oriented rental housing and new single family construction to accommodate more adult co-living arrangements.

This study provides a more comprehensive understanding of the role ethnic and cultural diversity has on millennial adult living preferences and its generational differences, which is not just “boomeranging” as identified by previous literature, contributing to the growing interest in the housing research on the effect of ethnic diversity and culture on millennials’ homeownership rates.

The purpose of this study is to look at the market reaction to stock dividend announcements of real estate investment trusts (REITs) and further look at their determinants.

The paper uses standard event methodology for market reaction to determine abnormal returns and CARs. Additionally the paper uses a logistic regression to analyze determinants.

Using a sample of 37 announcements from fourth quarter 2008 till first quarter 2010, the paper finds a mean negative abnormal return of −1.23 percent on the day of the announcement. Further, following the announcement day, the paper finds a weak significant positive abnormal return on the day after that (+1), which may convey some optimism from the investors. Further, when the paper looks at the characteristics of such REITs, it finds that REITs with higher leverage ratio and larger asset bases are more likely to issue stock dividend. Additionally, the results also indicate that the stock dividend announcement lead to an abnormal turnover of 0.24 percent for these REITs on the day following the announcement. This may suggest an increase in the marketability of the stock dividend REITs after the announcement date.

First, the reaction of the market will help gauge the response of investors to such announcements. This could provide REIT managers information on ex‐ante investor reaction to such dividend decisions. Second, this study will help identify the characteristics of REITs that declare stock dividends. For investors who rely on market trading information, study in this regard will help them to build up their portfolios.

This is the only study that looks exclusively at stock dividends in REITs and the second study to look at stock dividends in REITs in general. It is different from the other study in this field because of its methodology, sample size and some distinct results.

The purpose of this paper is to observe the decision‐making behavior of real estate investors, both novice and experts. In doing so, the study looks at the information content of the decision‐making process of these players involved in real estate investments.

The paper uses a controlled experiment to directly observe the decision‐making process of the two group of investors (novices and experts) used in this study.

The findings give us an insight on the type of data utilized by the two groups. Expert's frequency of cue utilization was greater in all cues except two. In four cues in particular, underwriter's analysis of stabilized cash flow, loan summary, Phase I and environmental reports and current rent roll the expert's frequency was twice that of novices. This suggests that experience may sensitize experts to the importance of some attributes of real estate overlooked by novices. This study also finds evidence of order of presentation of cues influencing the sequence of cue access by the subjects suggesting the possibility of recency behavior and its impact on real estate investment decision‐making. However, the findings are not conclusive and have to be tested further in future research.

The paper gives an insight into the area of real estate decision‐making, which is a critical aspect of any company involved in real estate investments. The findings from this study can help in inputs for building a normative model of real estate investments that may help streamline the real estate decision‐making process across the industry.

The purpose of this paper is to consider the operating performance of real estate investment trust initial public offerings (REIT IPOs) as a measure to find additional evidence of market timing in this sector.

A sample of REIT IPOs is analyzed to determine the relationship between IPO clustering and several measures of REIT operating performance.

The results suggest that timing the market by marginal firms in the REIT sector would be difficult, due to the transparent nature of REITs, leading to lower level of informational asymmetry between REIT managers and investors. Consistent with results found for non‐REIT firms in industry clusters, no evidence was found of a significant difference between the operating performance of REITs which are part of an IPO cluster and those that went public outside of the identified cluster periods.

This study shows that REIT market is efficient and would not allow REIT managers to time the market.

Using stringent measures of identifying REIT IPO clusters and operating performance as a measure to gauge market timing, this study differs from previous studies and provides additional and robust evidence of transparent nature of REITs that leads to reduced information asymmetry between managers and investors. This result supports the theory that REITs are more transparent and thus less likely to be over‐invested during IPO cluster periods.

This research article aims to prioritize the risks associated with the implementation of the project-based learning (PBL) concept in engineering institutions and develop possible strategies for risk management.

In this research article, various risks associated with the implementation of the PBL concept in engineering institutions are discovered by taking inputs from academicians and performing a literature survey of peer-reviewed journal articles. Then, identified risks are prioritized by using the Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) method. Finally, the risk mitigation strategies are developed.

From the literature survey, 11 risks associated with the implementation of the PBL concept are identified. The TOPSIS method resulted in group dynamics risk and faculty training risk as the top two risks in the implementation of the PBL concept, whereas anxiety risk and poor prior learning experience risk are relatively low-ranked risks.

The outcome of the research is based on the responses received through questionnaires. There are other methods also available for risk analysis, which are beyond this study.

The outcome of this research work will help the implementer of the PBL concept to effectively deal with the risks involved in implementing the PBL concept in engineering institutions by adopting strategies.

This research paper gives an idea about risks associated with the PBL implementation in engineering institutions. Also, this paper uses TOPSIS method for ranking of identified risks.