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The purpose of this paper is to find out the causes of increasing population in the real estate area. The demographic in information of the respondents and the level of satisfaction was also carried out for this study.

The authors use both primary and secondary data. Total 329 respondents were surveyed at the real estate area after completing sample size determination. Secondary data was collected from journals, real estate offices and papers. After that, using regression and correlation analysis, the data was analyzed and finalized.

This study identified migration as the most critical variable. The study determined ten hypotheses and only accepted two. By that, this study finds out the causes of the increasing demand of plots and flats in real estate.

This study will work as a baseline study for the real estate sector in Bangladesh. Most of the research on Bangladesh’s real estate is done mainly on real estate market assessment and consumer satisfaction. Nevertheless, this study will find out the causes of the increasing population in real estate.

This study aims to recognize the role of information system (IS) model on young adults’ experience of housing and real estate chatbots. This model of IS takes into account the quality of information, the quality of system and the quality of service.

This study uses a sample frame for analysis which comprises young adult population in India, i.e. between the ages of 18 and 35. A questionnaire consisting of five components was used to collect information in a structured manner. The 386 responses thus collected were analysed using the structural equation model.

It was found that there is a significant influence of the quality of information, quality of system and quality of service on young adults’ experience of housing and real estate chatbots. The findings also showed that there is moderation role of effort expectancy between the quality parameters and young adults’ user experience of housing and real estate chatbots.

This study focusses exclusively on the young adults from various parts of India. Future research can consider larger population categories across age groups and across sectors employing chatbots.

This study will enable in-depth understanding of IS model – quality dimensions’ relation with the user experience. In particular, housing and real estate organisations will profit from the expanded usage of artificial intelligence through chatbots for user correspondence and communication.

To the best of the authors’ knowledge, this study is first of its kind, as it investigates how IS model – quality dimensions affect the young adults’ experience of housing and real estate chatbots in India. This study also ventures into identifying the moderation role of effort expectancy between the quality dimensions as per IS model and young adults’ experience of housing and real estate chatbots. This study will be useful for the stakeholders of housing and real estate industry.

The study aims to identify the reality of the role of the banking sector in financing the Palestinian real estate and construction sector. The study demonstrated the importance of this issue by highlighting the role that Palestinian banks play in treating the problem of the increasing demand for housing because of the natural increase in population numbers and their various needs, and through knowledge of historical development for banks and the facilities they provided, especially to the real estate and construction sector.

This study carried out data from (2000–2019). The descriptive analytical method and regression method was used for analyzing the measurement model. Holt’s method was used to estimate the size of housing units needed in the Palestinian territories over the next seven years.

The study concluded that there is a need to build about (200,000) residential units in the next seven years, and the study recommended the necessity of increasing the pooled contribution of banks and directing part of it to the real estate and construction sector, amending legislative laws for the real estate market and construction, reducing taxes on building supplies and encouraging the private sector with stimulus policies or share.

The study provided results and data regarding the state of the housing sector and how its financed by Palestinian banks; it clarified the limitations and difficulties that face this sector and provides a clear path for what needs to be done to develop this sector and overcome its barriers.

This current study contributes to focusing on the reality of the banking sector and its role in financing the real estate and construction sector, in addition to the appropriate period of time for the study, which ranges between 2000 and 2019, which is a period sufficient to identify the reality of Palestinian real estate and construction and banks and the relationship between them.

The researcher believes that the study differed from its predecessors through an in-depth analysis of the existing relationship between cash assets and real assets, given that the priority of real assets over cash assets, as cash assets are considered as real over cash assets, but they do not constitute a substitute for them in economic development, the study contains a vision that recommends linking the activities of the banking sector with economic and social problems and the national issue, i.e. independence and self-determination.

The purpose of the study is to determine website quality, materialism, psychological factors, hedonic value and social media as factors that influence the young adults’ impulsive housing and real estate buying behavior in India. In addition, this study also measures the mediating effects of social media influence between psychological factors and hedonic value and young adults’ impulsive housing and real estate buying behavior.

Related literature, quantifiable variables with a five-point Likert Scale, hypothesis testing and mediators are used to study the model. A systematic questionnaire that was divided into six sections was used. A total of 385 valid responses were collected and analyzed through a structural equation model.

The results suggest that materialism, psychological factors and social media have a considerable impact on young adults’ impulsive housing and real estate buying behavior. The findings also ascertained that website quality and hedonic value do not have a considerable impact on young adults’ impulsive housing and real estate buying behavior.

This study is limited to the responses of young consumers from a limited number of brokers and regions in India. Future studies could be more widespread across the globe.

As per the review of existing literature, this research is the first, to the best of the authors’ knowledge, to determine the factors affecting the impulse buying decision mainly in the housing and real estate sector with the target consumers being young.

Swiss institutional investors hold approximately 19 per cent of their wealth in property, and the bulk of the allocation to property is housing. The financial reasons which are often given to motivate this investment strategy are twofold. First, property returns are hypothesized to be lowly correlated with the returns on stocks and bonds, and the inclusion of property in portfolios of financial assets should lead to diversification benefits. Second, property is viewed as acting as an effective hedge against inflation. Empirically investigates these two assumptions on the basis of hedonic price indices for Geneva and Zurich apartment buildings. Examines whether an investor who already holds Geneva (Zurich) housing should invest in the other canton. Investigates whether real estate mutual funds should be included in the portfolio in addition to direct real estate holdings. Results suggest that housing is an effective portfolio diversifier but does not provide any better short‐term inflation‐hedging effectiveness than financial assets.

The purpose of this study is to investigate the determinants of returns on housing in Iran by analyzing capital appraisals, rents, and total returns.

This study uses data from 28 provinces of Iran over the period of 2000‐2007. Using generalized method of moments (GMM), the determinants of returns on housing in Iran are investigated.

The empirical results indicate that in particular changes in inflation and population and to a lesser extent changes in unemployment and gross domestic product (GDP) are the important determinants of returns on housing.

The findings imply that real estate investors in Iran can obtain higher returns from their housing investment if they invest in provinces that have positive changes in population, GDP and inflation and negative changes in unemployment rate.

Most studies in this area cover US and European real estate markets (particularly office market). Since findings for developed countries might not be directly transferable to emerging market economies such as Iran, therefore, more work is necessary to obtain a clearer picture of real estate markets in emerging market economies.

This paper aims to investigate the relationship between residential real estate prices and unemployment rates at the Metropolitan Statistical Area (MSA) level.

This paper uses a long time-series of MSA-level quarterly data from 1990 to 2018. It uses an instrumental variable approach to estimate the effects of residential real estate prices on unemployment rates using the geography-based land constraints measure of Saiz (2010) as the instrument.

The results show that changes in residential real estate prices do not have a causal effect on unemployment rates in the same quarter. However, it takes 9-12 months for an increase (decrease) in real estate prices to decrease (increase) unemployment rates. This effect is significant during both pre- and post-financial crisis periods and robust to control for the economic characteristics of MSAs.

This paper contributes to the emerging literature that studies the real effects of real estate. Particularly, the methodology and the findings can be used to investigate causal relationships between housing prices and small business development or economic growth. The findings are also of interest to policymakers and practitioners as they illustrate how and when real estate price shocks propagate to the real economy through unemployment rates.

This study’s findings have important implications for academics, policymakers and investors as they provide evidence of a snowball effect associated with shocks to real estate prices: increasing (decreasing) unemployment rates following a decrease (increase) in real estate prices exacerbates the real estate price movements and their economic consequences.

This paper analyzes a significantly longer period, from 1990 to 2018, than the existing literature. Additionally, it uses the MSA-level land unavailability measure of Saiz (2010) as an instrument to explore the effects of residential real estate prices on unemployment rates and when those effects are observed in the real economy.

In light of growing concerns on the scale of the housing affordability problem in Italy, and of the government's response in the form of a new Housing Plan, the purpose of this paper is to ask whether such new policy is a coherent and adequate strategy to address the alleged housing problems. In order to answer this core question, the paper first discusses whether Italy is indeed facing an affordability problem; it then analyses the evolving housing policy and the emerging solutions for its implementation to identify its core innovative features.

This paper highlights the emerging role of social housing in Italy by presenting secondary evidence of the performance of real estate markets and of the demand for rented housing for 12 Italian metropolitan areas. The paper focuses on renters in an intermediate income bracket, which represents a core emerging social housing target group. Relying on existing evidence and international literature, the paper then discusses the implications of the new legislative framework for the delivery of social housing in Italy, with a focus on discussing the system of local real estate ethical funds, setting it against the evolving European context.

The recently introduced changes to the delivery and funding model in the Italian social housing system offer an opportunity to overcome the traditional Italian approach to social housing. First, the new model serves a new target group to avoid it drifting into relative poverty, and second it allows new subjects, and primarily banking foundations, to actively pursue an ethical return on their investment in new housing. The complexity of the local real estate ethical funds, however, constitutes a source of risk in the new delivery model, and the short time for which existing funds have been operational only leaves room for some preliminary considerations. Nonetheless, the analysis conducted in this paper indicates the core areas that will need to be monitored in the medium to long term to ensure a meaningful understanding of the implications of the Plan.

A conclusive assessment of the Housing Plan and its impacts on the Italian economy requires a longer timeframe.

The paper offers an insight in the Italian rented housing market, with a focus on large metropolitan areas. It presents a review of evidence of housing affordability problems facing midium‐ to low‐income groups, and therefore adds to growing body of social housing international literature. It also provides a review of the emerging system of local real estate ethical funds, and therefore useful reference for national and international social housing and real estate funds practitioners and researchers.

This paper examines the main drives of encouraging Iranian investors in the Turkish real estate market, focusing on the interface between push factors and pull factors that drive them abroad.

This paper examines the main drives of encouraging Iranian investors in the Turkish real estate market, focusing on the interface between push factors and pull factors that drive them abroad. For this purpose, the trend of housing price growth in Iran and Turkey was compared. The review of the 11-year trend of rates shows that housing prices in both countries have been continuously rising, and these prices have undoubtedly experienced increasing shocks in Iran. For further analysis, 13 main variables leading to the repulsion of investment in Iran's housing market and 15 variables shaping the attractiveness of investment in Turkey were identified in this sector. Thirty experts subsequently ranked the significant variables based on a closed-end questionnaire using quantitative strategic planning matrix. Examining housing investment elasticity in Turkey also shows that “Turkey's economic stability compared to neighboring countries” and “acquiring Turkish citizenship through real estate investment” are among the most important variables. On the other hand, the pressure variables of housing investment in Iran were “decrease in the value of the Iranian currency in recent years,” “currency price fluctuations” and “severe fluctuations and instability in the Iranian housing market.”

Examining housing investment elasticity in Turkey also shows that “Turkey's economic stability compared to neighboring countries” and “acquiring Turkish citizenship through real estate investment” are among the most important variables. On the other hand, the pressure variables of housing investment in Iran were “decrease in the value of the Iranian currency in recent years,” “currency price fluctuations” and “severe fluctuations and instability in the Iranian housing market.”

From a theoretical standpoint, foreign investment is in support of Turkey and harmful to Iran because the Turkish government is bolstering investment attractiveness to bring increased capital inflows into this country. Practically speaking, Turkey has aimed to create a rational framework for investors by strengthening and changing its economic system, as well as amending existing constitutions in this domain. Nevertheless, Iran resists any changes in its economic system and legislation. Therefore, a wide range of attractiveness and repulsion variables has led to the migration of Iranian investors to Turkey. In the present study, such variables are illuminated.