Insight into apartment attributes and location with factors and principal components

2011 ◽  
Vol 4 (2) ◽  
pp. 155-171 ◽  
Author(s):  
Alain Bonnafous ◽  
Marko Kryvobokov

PurposeThe purpose of this paper is to better understand the spatial structure of the Lyon urban area focusing on real estate. For this, two aims are formulated. The first aim is to identify and geographically analyse latent structure underlying apartment variables and location. The second aim is to decrease a number of explanatory variables in a hedonic model of real estate prices applying latent constructs.Design/methodology/approachFor the first aim of a parsimonious representation among measured variables, exploratory factor analysis is applied. For the second aim of data reduction, principal component analysis (PCA) is used. The exploited regression methodologies are global and geographically weighted ordinary least squares.FindingsFour factors are extracted, of which two represent apartment attributes and other two – location attributes. Principal components provide better insight into location attributes dividing the service employment centres into two geographical groups. The inclusion of principal components in hedonic price equation instead of initial location variables decreases goodness of fit, but does not gradually change non‐location estimates and other parameters.Originality/valueDifferently from previous applications of factor analysis and PCA in the real estate domain, oblique rotation is applied, which allows the extracted factors or components to be correlated. The scores of factors and components are interpolated from points to raster maps creating a continuous geographical distribution. Hedonic models with and without principal components are compared in detail.

2016 ◽  
Vol 9 (2) ◽  
pp. 239-255 ◽  
Author(s):  
Marsela Thanasi (Boçe)

Purpose The approved methodology of property valuation in Albania evaluates the reference property prices based on the average contractual price of properties sold and takes into account only factors such as price, square meters of living and location of property. Simple method is the one used on evaluating the reference price for a group of properties with similar characteristics. The purpose of this study is, by building a hedonistic pricing model for apartments in Tirana, to prove empirically that in addition to location, there are other characteristics that affect the value of apartments. Design/methodology/approach The capital city is chosen as a case study for the construction of a hedonistic pricing model. In the database were included detailed characteristics of 1,421 apartments. Multiple regression analysis was chosen in this model as a method to test hypotheses about the causal relationship between house value Y and independent variables XS, representing the characteristics of the property. Population equation parameters β0, β1, β2 […], βn. were evaluated by the ordinary least squares method. Selection of α-standard is 5 per cent, taking into account the significant number of observations and the degree of regression freedom. Findings Based on this study, it was proved empirically that the characteristics of the apartments as square meters of living, number of rooms, access to parking, furniture, view and surface of living affect their price. As a literature review showed, location is the most important variable that affects the value. Results showed that the marginal effect that the number of rooms has on the apartment value depends on the square meters of living of the apartment. In the same line, the effect of the square meters of living on value depends on the square meters, as the relationship between these variables is nonlinear and depends more on the number of rooms. Research limitations/implications It was impossible to find the information on property sales contracts. That is why this study was oriented toward the market and took into account the properties offered for sale at one of the biggest real estate agency “Çelësi”. More accurate information regarding properties characteristics could be obtained. The information was limited and depended on the best apartment characteristics that potential sellers wanted to advertise. On the other side, contractual sales price is oriented by the reference price, so, the applied methodology has resulted in better evaluations of real estate prices, which reflect the market price. Practical implications This study is conducted as an applicable research. After analyzing the property valuation system in Albania, the study recommends the change of the method used on apartment valuation. Improvement of the property valuation system requires first of all creation of a complete and updated database for all real estate sales. Social implications Property valuation is a very important function of the land administration system which directly affects people’s life. Property evaluation for different purposes like tax evaluation, compensation and expropriation is a process that must be designed using an equal, transparent and well-accepted methodology by all. Promotion of property valuation system development is helpful to various interest groups in society, as it can reduce the risk of investment in this sector and encourages lower rates of interest on loans. Originality/value To the author's knowledge, the hedonic model is not applied on the Albanian housing market, thus providing encouragement to deepen the study in this regard. The study is original and has a very important impact on policymakers to change the actual property valuation methodology to obtain more accurate property values.


2019 ◽  
Vol 31 (1) ◽  
pp. 194-216 ◽  
Author(s):  
Ching-Chan Cheng ◽  
Ya-Yuan Chang ◽  
Ming-Chun Tsai ◽  
Cheng-Ta Chen ◽  
Yu-Chun Tseng

Purpose This study aims to develop a comprehensive LOHAS (lifestyles of health and sustainability) restaurant service quality scale by using a rigorous qualitative and quantitative research process to effectively measure the service quality of LOHAS restaurants. Moreover, this study aims to further identify the Kano quality characteristics and strategic meanings of service attributes in LOHAS restaurants. Design/methodology/approach This study designed the preliminary items of the service quality scale for LOHAS restaurants (LORSERV scale) based on relevant literatures and expert interview procedures. This study identified the goodness of fit of the questionnaire content, construct validity and validity of the LORSERV scale using exploratory factor analysis and confirmatory factor analysis. The moderated regression was conducted to identify the Kano quality characteristics and strategic meanings of each service attribute in LOHAS restaurants. Findings The results indicated that the LORSERV scale included seven dimensions (internal sense of happiness, transitiveness, environment, healthy catering, service commitment, green practicability and thoughtfulness), for a total of 33 items. According to the results of the Kano model, the seven service attributes were categorized into the attractive quality. A total of 25 service attributes were categorized into the one-dimensional quality, and one service attribute was categorized into the must-be quality. Originality/value The contribution of this study is that the scale could facilitate operators of LOHAS restaurants to effectively understand customer perceptions of service quality and serve as a reference to upgrade and improve service quality. The identification of Kano quality characteristics for each service attribute is conducive for LOHAS restaurants to understand the strategic meanings of each service attribute and can serve as a reference to make distinctive service strategies to reach sustainable operations.


2018 ◽  
Vol 35 (6) ◽  
pp. 1253-1267 ◽  
Author(s):  
Khahan Na-nan ◽  
Kanokporn Chaiprasit ◽  
Peerapong Pukkeeree

Purpose The purpose of this paper is to develop a performance management (PM) scale questionnaire that encompasses the pre-requisite, performance planning, performance evaluation, performance review, and performance application dimensions of PM. Design/methodology/approach In the study, the 33 questionnaire questions were first validated using exploratory factor analysis (EFA) and then by confirmatory factor analysis (CFA) along the three performance dimensions. The research sample consists of 330 entrepreneurs. The factor analysis results confirm the validity of the questionnaire as a reliable entrepreneur PM evaluation tool, as evidenced by the composite reliability of 0.845 and the average variance extracted of 0.532. Findings All constructs revealed the acceptable internal consistency reliability. A good model fit was found for the measurement model using several fit index like χ2=449.983, degree of freedom=415, p-value (p)=0.114, goodness of fit index=0.927, adjusted goodness of fit index=0.901, root mean square error of approximation=0.016, and root of mean square residuals=0.032. Research limitations/implications The PM model was examined using EFA and CFA only. A sample with only SMEs entrepreneurs and large sample size and sample area can be used in future research. Practical implications This research paper is an endeavor to explore only the reliability and validity of the PM model. Thus all the five dimension, namely “pre-requisite” “performance planning,” “performance evaluation,” “performance review,” and “performance application” proved out of be reliable and validated when it will be tested in case of SMEs’ high-growth sectors and high-impact sectors. Originality/value The main contribution of this research is that all factors have a good fit and acceptable reliability value; each factor can be measured individually depending on the nature of the research.


2019 ◽  
Vol 12 (3) ◽  
pp. 345-364
Author(s):  
John Edwin Anderson

Purpose The purpose of this study is to test the hypothesis that real estate ownership contributes to life satisfaction in transition countries. Design/methodology/approach Life in Transition survey data are used to model reported life satisfaction using ordinary least squares, ordered probit, generalized ordered logit and bivariate probit models. The hypothesis tested is whether real estate ownership is associated with greater reported life satisfaction. Findings Empirical results from the variety of empirical models estimated strongly support the hypothesis that real estate ownership is associated with greater reported life satisfaction in transition countries. Research limitations/implications Analysis is limited because life satisfaction is self-reported and specifically for residents of transition countries. Practical implications Results confirm that ownership of a home, second home or land parcel is associated with greater life satisfaction. Social implications Real estate ownership can be an effective means to improve life satisfaction, especially in societies needing such improvements. Originality/value This is the first study of the link between real estate ownership and life satisfaction specifically in transition countries, and using a robust set of empirical models to address issues of ordinal dependent variables, varying coefficient estimates across dependent variable response categories, endogeneity and causality.


2019 ◽  
Vol 37 (3) ◽  
pp. 289-300
Author(s):  
Gaetano Lisi

Purpose The purpose of this paper is to provide an integrated approach that combines the two methods usually used in the real estate appraisals, namely, the income capitalisation method and the hedonic model. Design/methodology/approach In order to pull out the link between the income capitalisation approach and the hedonic model, the standard hedonic price function is introduced into the basic model of income capitalisation instead of the house market value. It follows that, from the partial derivative, a direct relation between hedonic prices and discount rate can be obtained. Finally, by using the close relationship between income capitalisation and direct capitalisation, a mathematical relation between hedonic prices and capitalisation rate is also obtained. Findings The developed method allows to estimate the capitalisation rate using only hedonic prices. Indeed, selling and hedonic prices incorporate all of the information required to correctly estimate the capitalisation rate. Furthermore, given the close relation among going-in and going-out capitalisation rates and discount rate, the proposed method could also be useful for determining both the going-out capitalisation rate and the discount rate. Practical implications Obviously, it is always preferable to estimate the capitalisation rate by just using comparable transactional data. Nevertheless, the method developed in this paper is especially useful when: the rental income data are missing and/or not entirely reliable; the data on rental income and house price are related to different homes; the capitalisation rate, in fact, should compare the rent and value of identical homes. In these cases, therefore, the method can be a valuable alternative to direct estimation. Originality/value The large and important literature on real estate economics and real estate appraisal neglects the relationship between hedonic prices and capitalisation rate, thus considering the hedonic model and the income capitalisation approach as two separate and alternative methods. This paper, instead, shows that integration is possible and relatively simple.


2019 ◽  
Vol 31 (7) ◽  
pp. 2884-2913
Author(s):  
Emre Cengiz ◽  
Funda Cengiz ◽  
Muhittin Cavusoglu ◽  
Cihan Cobanoglu

Purpose This study aims to report the descriptive statistics of cost-system obsolescence (CSO) in the Turkish hotel industry and contingent factors that affect the CSO. Design/methodology/approach To validate the reflective measurement model, first, an exploratory factor analysis in statistical package for social sciences was conducted. Then, a confirmatory factor analysis using maximum likelihood in analysis of moment structures was performed to establish the reliability and validity of the construct measurements. Findings The results demonstrate that CSO symptoms did not occur frequently in sample Turkish hotels. Turkish hotels were found to operate in intense competition and a significant relationship between competition intensity (CI) and CSO takes place. The hospitability industry has been perceived as rather uncertain. However, perceived environmental uncertainty (PEU) had no significant effect on CSO, and there was no mediation effect on the relationship between CI and CSO. Turkish hotels were found to perform market-orientated activities at a mediocre level. However, no significant relationship was found between market orientation (MO) and CSO. Additionally, Turkish hotels with decentralized decision-making structures and “prospector-type” strategies were found to have less CSO. On average, Turkish hotels have centralized decision-making structures and pursue “analyzer-type” strategies. Practical implications This study contributes to previous literature related to accounting information in the hotel industry. It also aims to give additional insight into Turkish hotels’ competitive environment, MO activities, decision-making structures and strategies and their association with CSO. Originality/value The study examined CSO in the Turkish hotel industry and factors that affect CSO. The study results provide additional insight into Turkish hotels’ competitive environment, MO activities, hotel structure and strategy. A new model to test CSO was created and validated using structural equation modeling (SEM).


2020 ◽  
Vol 18 (6) ◽  
pp. 1907-1926
Author(s):  
Riadh Djafri ◽  
Mariana Mohamed Osman ◽  
Noor Suzilawati Rabe ◽  
Syafiee Shuid

Purpose The purpose of this paper is to identify, confirm and validate a model appropriate to capture the interrelationships between different variables to develop and improve social housing quality, adequacy, provision and residents’ quality of life (RQOL). Design/methodology/approach This research adopted a quantitative approach to examine the research objectives of this study. The proposed conceptual framework was tested using primary data collected from a survey of 418 residents of the new urban center of Hamla. The data were analyzed using descriptive analysis and exploratory factor analysis through SPSS. In addition, confirmatory factor analysis was performed using AMOS before validating the measurement model and testing the hypotheses through structural equation modeling (SEM). Findings The results of SEM indicated acceptable high goodness-of-fit indices. The results revealed that three out of six hypotheses were supported. Consequently, residential quality and housing adequacy appeared to have a vital role in the conceptual framework, as it influenced social housing provision and RQOL and was influenced by socio-economic characteristics. Practical implications The present study illustrates the interrelationships between the proposed variables using SEM analysis. In addition, by understanding the direct relationships between the selected variables, the findings would be useful for the concerned authorities to ameliorate and upgrade the social housing quality and adequacy along with surpassing the current shortage, which would enhance and contribute to the amelioration of the RQOL and throughout Algeria. Originality/value This paper aims to establish, examine, validate the relationships and develop a conceptual framework in the context of Algerian social housing that contributes to the assessment and amelioration of social housing.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rosane Hungria-Gunnelin ◽  
Fredrik Kopsch ◽  
Carl Johan Enegren

Purpose The role of list price is often discussed in a narrative describing sellers’ preferences or sellers’ price expectations. This paper aims to investigate a set of list price strategies that real estate brokers have available to influence the outcome of the sale, which may be many times self-serving. Design/methodology/approach By analyzing real estate brokers’ arguments on the choice of the list price level, a couple of hypotheses are formulated with regard to different expected outcomes that depend on the list price. This study empirically tests two hypotheses for the underlying incentives in the choice of list price from the real estate broker’s perspective: lower list price compared to market value leads to the higher sales price, lower list price compared to market value leads to a quicker sale. To investigate the two hypotheses, this paper adopts different methodological frameworks: H1 is tested by running a classical hedonic model, while H2 is tested through a duration model. This study further tests the hypotheses by splitting the full sample into two different price segments: above and below the median list price. Findings The results show that H1 is rejected for the full sample and for the two sub-samples. That is, contrary to the common narrative among brokers that underpricing leads to a higher sales price, underpricing lower sales price. H2, however, receives support for the full sample and for the two sub-samples. The latter result points to that brokers may be tempted to recommend a list price significantly below the expected selling price to minimize their effort while showing a high turnover of apartments. Originality/value Although there are a large number of previous studies analyzing list price strategies in the housing market, this paper is one of the few empirical studies that address the effect of list price choice level on auction outcomes of non-distressed housing sales.


2020 ◽  
Vol 13 (2) ◽  
pp. 161-179
Author(s):  
Mariusz Doszyń

Purpose The purpose of this paper is to present an algorithm of real estate mass appraisal in which the impact of attributes (real estate features) is estimated by inequality restricted least squares (IRLS) model. Design/methodology/approach This paper presents the algorithm of real estate mass appraisal, which was also presented in the form of an econometric model. Vital problem related to econometric models of mass appraisal is multicollinearity. In this paper, a priori knowledge about parameters is used by imposing restrictions in the form of inequalities. IRLS model is therefore used to limit negative consequences of multicollinearity. In ordinary least squares (OLS) models, estimator variances might be inflated by multicollinearity, which could lead to wrong signs of estimates. In IRLS models, estimators efficiency is higher (estimator variances are lower), which could result in better appraisals. Findings The final effect of the analysis is a vector of the impact of real estate attributes on their value in the mass appraisal algorithm. After making expert corrections, the algorithm was used to evaluate 318 properties from the test set. Valuation errors were also discussed. Originality/value Restrictions in the form of inequalities were imposed on the parameters of the econometric model, ensuring the non-negativity and monotonicity of real estate attribute impact. In case of real estate, variables are usually correlated. OLS estimators are then inflated and inefficient. Imposing restrictions in form of inequalities could improve results because IRLS estimators are more efficient. In the case of results inconsistent with theoretical assumptions, the real estate mass appraisal algorithm enables having the obtained results adjusted by an expert. This can be important for low quality databases, which is often the case in underdeveloped real estate markets. Another reason for expert correction may be the low efficiency of a given real estate market.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Harish Kumar Singla ◽  
Pradeepta Kumar Samanta

Purpose The paper aims to identify the critical success factors (CSFs) at an individual level for real estate developers (REDs) in India. Design/methodology/approach Fifteen individual-level CSFs are identified from literature review. These CSFs are moderated through expert opinion, and they are customized for the real-estate sector. Five-point scale questionnaire is developed and furnished to REDs to understand the importance of these 15 CSFs. Fifty-six REDs responded to the survey. Using the responses from the survey, relative importance index is created for all 15 factors. These factors are also grouped in broad categories using exploratory factor analysis and the groups are further validated through confirmatory factor analysis. Findings The study finds that leadership quality, man-management skill, disputes resolution skill, ability to take risk and knowledge about construction and finance are the top five CSFs for REDs in India. The exploratory factor analysis resulted in five groups and they are named as “liaising with government,” “relationship management,” “knowledge management,” “skill management” and “ability.” The groups exhibit reasonable reliability and validity. Research limitations/implications Despite useful results, study being exploratory in nature is limited because of a small sample size. Despite best efforts, authors find reluctance from REDs to respond to the survey. Practical implications The findings of the study are important for REDs and success of their business. The business of REDs can improve if they exhibit leadership quality, man-management skill and disputes resolution skill. The ability of the developers to take risk and their knowledge about construction and finance can also be vital for the success of their business. Originality/value To the best of authors’ knowledge, this is the first attempt to identify CSFs for REDs in India.


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