scholarly journals Employment outcomes and patterns of real estate graduates: is gender a matter?

2016 ◽  
Vol 34 (1) ◽  
pp. 44-66 ◽  
Author(s):  
Joanna Poon ◽  
Michael Brownlow
Keyword(s):  
Real Estate ◽  
Built Environment ◽  
Dimensionality Reduction ◽  
Employment Outcomes ◽  
Full Time ◽  
Data Set ◽  
Content Type ◽  
Employment Patterns ◽  
Contract Type ◽  
The Impact

Purpose – The purpose of this paper is to investigate whether gender has an impact on real estate and built environment graduates’ employment outcomes, employment patterns and other important employment related issues, such as pay, role, contract type and employment opportunity in different states of a country. Design/methodology/approach – The data used in this paper has been collected from the Australian Graduate Survey (AGS). Data from the years 2010-2012 was combined into a single data set. Dimensionality reduction was used to prepare the data set for the courses listed in AGS data, in order to develop the simplified classifications for real estate and built environment courses which are used to conduct further analysis in this paper. Dimensionality reduction was also used to prepare data set for the further analysis of the employment outcomes and patterns for real estate graduates. Descriptive and statistical analysis methods were used to identify the impact of gender on the employment outcomes, employment patterns and other important employment related issues, such as pay, role, contract type and location of job, for real estate graduates in Australia. This paper also benchmarks the employment result of real estate graduates to built environment graduates. Findings – Recent male built environment graduates in Australia are more likely to gain full-time employment than females. The dominant role for recent female built environment graduates in Australia is a secretarial or administrative role while for the male it is a professional or technical role. Male real estate and built environment graduates are more likely to have a higher level of salary. Gender also has an impact on the contract type. Male built environment graduates are more likely to be employed on a permanent contract. On the other hand, gender has no impact on gaining employment in different states, such as New South Wales and Queensland, in Australia. The finding of this paper reinforces the view of previous literature, which is that male graduates have a more favourable employment outcomes and on better employment terms. The finding also shows that graduate employment outcomes for real estate and built environment graduates in Australia are similar to that in other countries, such as the UK, where equivalent studies have been published. Originality/value – This is pioneering research that investigates the impact of gender on employment outcomes, employment patterns and other employment related issues for real estate graduates and built environment graduates in Australia.

scholarly journals An investigation of characteristics affecting employment outcomes and patterns of real estate graduates

2016 ◽  
Vol 34 (3) ◽  
pp. 180-198 ◽  
Author(s):  
Joanna Poon
Keyword(s):  
Real Estate ◽  
Built Environment ◽  
Dimensionality Reduction ◽  
English Proficiency ◽  
Employment Outcomes ◽  
Individual Characteristics ◽  
Content Type ◽  
Employment Patterns ◽  
Graduate Survey ◽  
The Difference

Purpose – The purpose of this paper is to develop a comprehensive picture of characteristics affecting the employment outcomes and patterns for real estate graduates in Australia. Furthermore, this paper benchmarks the characteristics affecting employment prospects of real estate graduates against those of built environment graduates. Design/methodology/approach – The data used in this paper were collected by the Australian Graduate Survey (AGS). Dimensionality reduction was used to prepare the dataset for the courses listed in the AGS data, in order to develop the simplified classifications of courses used to conduct the analysis in this paper. Dimensionality reduction was also used to prepare the dataset for the analysis of the employment outcomes and patterns for real estate and built environment graduates. Descriptive and statistical analysis methods were used to identify the difference in characteristics, such as gender, age, attendance type, mode of study, degree levels and English proficiency, for real estate and built environment graduates, the level of the influence of these characteristics on their employment outcomes and patterns and the statistical relationship between individual characteristics and employment outcomes as well as employment patterns of the graduates. Findings – English proficiency was found to be an important factor for real estate and built environment graduates for securing employment and it has a statistically significant impact on the employment outcomes and patterns for the graduates. Despite the fact that age and attendance type have no statistical impact on employment outcomes for real estate and built environment graduates, they were found to have statistical significant impact on their employment patterns. Originality/value – This is pioneering research which used official government data, such as AGS data, to provide a reliable and thorough picture of the employment outcomes and patterns for real estate and built environment graduates.

Farm income and output and lending by the farm credit system

2017 ◽  
Vol 77 (1) ◽  
pp. 125-136 ◽  
Author(s):  
Denis Nadolnyak ◽  
Xuan Shen ◽  
Valentina Hartarska
Keyword(s):  
Real Estate ◽  
Financial Markets ◽  
Fixed Effects ◽  
Balance Sheet ◽  
State Level ◽  
Farm Income ◽  
Full Time ◽  
Data Set ◽  
Content Type ◽  
Rural Financial Markets

Purpose The purpose of this paper is to provide evidence of the positive impact of the FCS lending on farm incomes which should be useful to policymakers as they consider reforms and further support for this 100-year-old major agricultural lender. Design/methodology/approach The authors construct a panel for the 1991-2010 period from the FCS financial statements and evaluate how lending by the FCS institutions has affected farm incomes and farm output. The authors use fixed effects estimations and control for credit by other agricultural lenders as well as the stock of capital, prices, and interest rates. Since previous work suggests that rural financial markets are segmented and the FCS serves larger full-time farmers with mostly real-estate backed loans, the authors evaluate the impacts of farm real-estate backed loans and of short-term agricultural loans separately for a shorter period for which the data is available. The authors also perform robustness checks with alternative estimation techniques. Findings The authors found a positive association between credit by the FCS institutions and farm income and output. The magnitude of the estimated impact is larger during the 1990s than in the 2000s. Research limitations/implications The positive link between the FCS institutions’ credit and farm incomes and output supports the notion that the FCS lending was beneficial to farmers. The evidence also supports the segmentation hypothesis of rural financial markets. The financial reports data for 1991-2010 are from the ACAs and FLCAs aggregated on the regional level because there is no clear way to classify FCS lending to a more disaggregate level like the state. The authors also assemble and analyze a state-level data set that contains state-level balance sheet data for the period 1991-2003. Originality/value The authors are not aware of another work that directly links (real estate and non-real estate) credit by FCS institutions to agricultural output and farm incomes.

Diversity and group performance in a real estate project

2019 ◽  
Vol 12 (1) ◽  
pp. 62-78 ◽  
Author(s):  
Liesa Schrand ◽  
Tobias Just
Keyword(s):  
Real Estate ◽  
Work Experience ◽  
Group Performance ◽  
Work Group ◽  
Group Formation ◽  
Data Set ◽  
Content Type ◽  
Real Estate Project ◽  
Group Diversity ◽  
The Impact

Purpose Successful developers need to manage a large number of cooperation partners and find innovative solutions for specific tasks, as each real estate project is somehow unique. Thus, the question arises as to whether intelligent group formation for real estate development calls for more or rather less diverse project groups. Design/methodology/approach This paper aims to test the impact of group diversity on overall group performance with a unique data set. The authors collected the results of 150 project assignments from real estate executive education students at the IREBS Real Estate Academy from 2010 until 2016. Findings The authors find that group results were impacted positively for groups with disparity in work experience and ability. Differences in sex and age did not yield any measurable impact, neither positive nor negative. Originality/value To the best of the authors’ knowledge, this is the first time that the relationship between work group diversity and group performance was tested for real estate educational projects. The authors believe that the results are highly relevant for all university work, for which teams have to cooperate on complex rather than basic assignments and problems. Moreover, they are the first to develop a framework that combines diversity theories with a clear distinction between three diversity concepts.

Labor supply and productivity responses to non-salary benefits

2016 ◽  
Vol 45 (5) ◽  
pp. 1047-1068 ◽  
Author(s):  
Marilyn Spencer ◽  
Deniz Gevrek ◽  
Valrie Chambers ◽  
Randall Bowden
Keyword(s):  
Employee Retention ◽  
Low Cost ◽  
Full Time ◽  
Employee Benefit ◽  
Data Set ◽  
Content Type ◽  
College Tuition ◽  
The Usa ◽  
Faculty And Staff ◽  
The Impact

Purpose – The purpose of this paper is to explore the impact of a particular low marginal-cost employee benefit on employees’ intended retention and performance. By utilizing a unique data set constructed by surveying full-time faculty and staff members at a public university in the USA, the authors study the impact of this employee benefit on faculty and staff performance and retention. Design/methodology/approach – The authors focus on the impact of reduction in dependent college tuition at various levels on employees’ intentions to work harder and stay at their current job by using both OLS and ordered probit models. The authors also simulate the direct opportunity cost (reduction in revenue) in dollars and as a percent of total budgeted revenue to facilitate administrative decision making. Findings – The results provide evidence that for institutions where employee retention and productivity are a priority, maximizing or offering dependent college tuition waiver may be a relatively low-cost benefit to increase retention and productivity. In addition, the amount of the tuition waiver, number of dependents and annual salary are statistically significant predictors of intended increased productivity and intent to stay employed at the current institution. Originality/value – Employee retention and productivity is a challenge for all organizations. Although pay, benefits and organizational culture tend to be key indicators of job satisfaction, little attention is given to specific types of benefits. This study is the first comprehensive attempt to explore the relationship between the impact of this low-cost employee benefit and employee performance and retention in a higher education institution in the USA.

Driving forces for the US residential housing price: a predictive analysis

2019 ◽  
Vol 9 (4) ◽  
pp. 515-529
Author(s):  
Amirhosein Jafari ◽  
Reza Akhavian
Keyword(s):  
Real Estate ◽  
Predictive Models ◽  
Driving Forces ◽  
Housing Prices ◽  
Housing Price ◽  
Data Set ◽  
Content Type ◽  
The Usa ◽  
Decision Making Processes ◽  
The Impact

Purpose The purpose of this paper is to determine the key characteristics that determine housing prices in the USA. Data analytical models capable of predicting the driving forces of housing prices can be extremely useful in the built environment and real estate decision-making processes. Design/methodology/approach A data set of 13,771 houses is extracted from the 2013 American Housing Survey (AHS) data and used to develop a Hedonic Pricing Method (HPM). Besides, a data set of 22 houses in the city of San Francisco, CA is extracted from Redfin real estate brokerage database and used to test and validate the model. A correlation analysis is performed and a stepwise regression model is developed. Also, the best subsets regression model is selected to be used in HPM and a semi-log HPM is proposed to reduce the problem of heteroscedasticity. Findings Results show that the main driving force for housing transaction price in the USA is the square footage of the unit, followed by its location, and its number of bathrooms and bedrooms. The results also show that the impact of neighborhood characteristics (such as distance to open spaces and business centers) on the housing prices is not as strong as the impact of housing unit characteristics and location characteristics. Research limitations/implications An important limitation of this study is the lack of detailed housing attribute variables in the AHS data set. The accuracy of the prediction model could be increased by having a greater number of information regarding neighborhood and regional characteristics. Also, considering the macro business environment such as the inflation rate, the interest rates, the supply and demand for housing, and the unemployment rates, among others could increase the accuracy of the model. The authors hope that the presented study spurs additional research into this topic for further investigation. Practical implications The developed framework which is capable of predicting the driving forces of housing prices and predict the market values based on those factors could be useful in the built environment and real estate decision-making processes. Researchers can also build upon the developed framework to develop more sophisticated predictive models that benefit from a more diverse set of factors. Social implications Finally, predictive models of housing price can help develop user-friendly interfaces and mobile applications for home buyers to better evaluate their purchase choices. Originality/value Identification of the key driving forces that determine housing prices on real-world data from the 2013 AHS, and development of a prediction model for housing prices based on the studied data have made the presented research original and unique.

A longitudinal study of the impact of the Sydney Olympics on real estate markets

2015 ◽  
Vol 6 (1) ◽  
pp. 4-17 ◽  
Author(s):  
Qiang (Steven) Lu ◽  
Yupin Yang
Keyword(s):  
Real Estate ◽  
Olympic Games ◽  
Data Set ◽  
Content Type ◽  
Real Estate Markets ◽  
The Real Estate ◽  
Transaction Prices ◽  
South Wales ◽  
Long Term Impact ◽  
The Impact

Purpose – The purpose of this paper is to examine the impact of the Sydney 2000 Olympic Games on the residential real estate markets of the host city during the bidding, pre-Olympic and post-Olympic periods. Design/methodology/approach – This study uses a difference-in-differences model to analyze the transaction prices for all properties in New South Wales, Australia for the period from 1980 to 2007. Findings – The paper finds that the impact on real estate markets varies across different suburbs in the host city and over time. The real estate markets of host suburbs experience substantially higher growth during the bidding and pre-Olympic periods but not during the post-Olympic period. However, the property prices in non-host suburbs in the host city increase at a higher rate during the pre- and post-Olympic periods but not during the bidding period. Originality/value – This study offers insights into the long-term impact of the Olympic Games on host suburbs and non-host suburbs in the host city during different periods by analyzing a large longitudinal data set over a period of 27 years.

Real estate ownership and closely-held firm value

2014 ◽  
Vol 32 (3) ◽  
pp. 229-243 ◽  
Author(s):  
John Edward Graham ◽  
Craig Galbraith ◽  
Curt Stiles
Keyword(s):  
Small Business ◽  
Real Estate ◽  
Small Businesses ◽  
Business Strategy ◽  
Firm Value ◽  
Private Equity ◽  
Data Set ◽  
Content Type ◽  
The Impact ◽  
Estate Ownership

Purpose – The authors aim to measure the value of leasing, versus owning, business locations for the closely-held firm. Design/methodology/approach – The authors examine the sales transactions of small businesses in the USA – those with revenues of less than $20 million per year – between 1995 and 2010. The authors contrast the values of firms that own, and do not own, their real estate. Findings – In general, the authors find negative relationships between closely-held firm values and real estate ownership. Nowhere did the authors observe firm value being enhanced by property ownership. Research limitations/implications – The data set may be limited by the accuracy of the data provided by business brokers. Compared to the capital markets, the small business “exchange” is less efficient, but it is the only source of unlisted business sales data. Practical implications – The findings are important to the small-business broker and the investor. The broker might better advise the buyer and seller with the findings. Business owners, private equity investors, and their advisors, are all reminded to focus on the core business strategy and avoid getting “locked into” real estate ownership in a business investment. Originality/value – The impact of real estate on the valuations of closely-held firms is a largely unexamined area. And there is a lack of consistency on publicly-held company valuations as a function of real estate ownership; these public company findings and the dearth of work on the privately-held company's real estate attract the attention in this study.

Increasing revenue and attendance in Canadian Baptist churches

2015 ◽  
Vol 42 (12) ◽  
pp. 1071-1089
Author(s):  
Alan Chan ◽  
Bruce G. Fawcett ◽  
Shu-Kam Lee
Keyword(s):  
Church Health ◽  
Eastern Canada ◽  
Data Set ◽  
Content Type ◽  
Factors Affecting ◽  
Scarce Resources ◽  
Baptist Churches ◽  
And Performance ◽  
The Impact ◽  
Simulation Exercises

Purpose – Church giving and attendance are two important indicators of church health and performance. In the literature, they are usually understood to be simultaneously determined. The purpose of this paper is to estimate if there a sustainable church congregation size using Wintrobe’s (1998) dictatorship model. The authors want to examine the impact of youth and adult ministry as well. Design/methodology/approach – Using the data collected from among Canadian Baptist churches in Eastern Canada, this study investigates the factors affecting the level of the two indicators by the panel-instrumental variable technique. Applying Wintrobe’s (1998) political economy model on dictatorship, the equilibrium level of worship attendance and giving is predicted. Findings – Through various simulation exercises, the actual church congregation sizes is approximately 50 percent of the predicted value, implying inefficiency and misallocation of church resources. The paper concludes with insights on effective ways church leaders can allocate scarce resources to promote growth within churches. Originality/value – The authors are the only researchers getting the permission from the Atlantic Canada Baptist Convention to use their mega data set on church giving and congregation sizes as per the authors’ knowledge. The authors are also applying a theoretical model on dictatorship to religious/not for profits organizations.

Dynamics of affordability and immigration in the Canadian housing market

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vikkram Singh
Keyword(s):  
Low Income ◽  
Negative Impact ◽  
Policy Formulation ◽  
Housing Affordability ◽  
Immigrant Integration ◽  
Full Time ◽  
Content Type ◽  
Assistance Programs ◽  
Essential Contribution ◽  
The Impact

Purpose This study aims to make two major contributions. First, given the literature gap in housing unaffordability for different immigrant groups in Canada, it makes an essential contribution to the literature. To the best of the knowledge, this study is the first study of its kind to examine housing unaffordability by examining different immigrant groups. Second, differences in unaffordability can help understand the decline in welfare, as it can have financial implications and a negative impact on health outcomes. Third, this study’s findings are valuable for policy formulation to improve immigrant integration and ease the housing unaffordability crisis. Design/methodology/approach This study examines the determinants of housing affordability to investigate differences among various immigrant groups in Canada. A bivariate logit model using public microdata from the Canadian census estimates the determinants of moderate and severe unaffordability. Additionally, the separation of tenants and owners provides insights into the dynamics of unaffordability. The results show significant differences between immigrant groups with higher levels of unaffordability among Asian immigrants. The insights can help devise and implement housing assistance programs to address the challenges arising from the post-COVID-19 pandemic phase. Findings The results indicate that unaffordability declines with increasing age, education and full-time employment. Gender dynamics are evident, with women faring worse than men regarding the likelihood of extreme housing unaffordability. Households face a greater likelihood of unaffordability in more populous provinces and larger census metropolitan areas that struggle with the high cost of living, racial disparities and low income. Immigrants, especially from Asia, Africa and the Middle East, continue to struggle with chronic and severe unaffordability issues. The impact is much more severe for those renting, exemplifying the strain it is taking on the financial health of recent immigrants. Originality/value Given the literature gap in housing unaffordability for different immigrant groups in Canada, it makes an essential contribution to the literature. To the best of the knowledge, this study is the first study of its kind to examine housing unaffordability by examining different immigrant groups.

CEO behavior and sustainability performance: the moderating role of corporate governance

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Amel Kouaib ◽  
Asma Bouzouitina ◽  
Anis Jarboui
Keyword(s):  
Corporate Governance ◽  
Real Estate ◽  
Corporate Sustainability ◽  
Least Square ◽  
Content Type ◽  
Sustainability Performance ◽  
Corporate Sustainability Performance ◽  
Good Corporate Governance ◽  
Governance Practices ◽  
The Impact

PurposeThis paper explores how the tension between a firm's CEO overconfidence feature and externally observable hubris attribute may determine the level of corporate sustainability performance. This work also contemplates the impact of the moderator “corporate governance practices.”Design/methodology/approachThis study uses a sample of 658 firm-year-observations using a sample of European real estate firms indexed on Stoxx Europe 600 Index from 2006 to 2019. To test the developed hypotheses, feasible generalized least square (FGLS) regression is applied.FindingsFindings suggest that a good corporate governance score strengthens the positive effect of the psychological bias (CEO overconfidence) on corporate sustainability performance while it fails to attenuate the negative effect of the cognitive bias (CEO hubris).Research limitations/implicationsThe research provides an overview of the impact of CEO personality traits on the corporate sustainability performance level in the European real estate sup-sector. As corporate governance can have a major impact to control these traits, the authors recommend European real estate companies to improve their corporate governance practices.Originality/valueThis study contributes to the existent literature this gap with two empirical novelties: (1) providing a novel insight into sustainability involvement using a sample of European real estate sup-sector and (2) investigating the moderating effect on the link between CEO psychological and cognitive biases and sustainability performance. This study provides empirical evidence that entrenchment problems arising from CEO hubris would not be mitigated by a good corporate governance practice.

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