Hedonic appraisal of apartments in Tirana

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.

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.


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.


2020 ◽  
Vol 38 (4) ◽  
pp. 585-596
Author(s):  
David Higgins ◽  
Tsvetomira Vincent ◽  
Peter Wood

PurposeMulti-let industrial (MLI) estates are an emerging £15 billion UK real estate asset class that can offer attractive returns, a diversified income base, constrained supply and extensive management opportunities to add value within an operational platform. This investment appeal is supported by the evolving MLI occupier market with the growth of small to medium enterprises (SME) requiring modern urban business space driven in part by technology advances offering new streams of supply chain connectivity between businesses and potential clients at a local level.Design/methodology/approachTo understand more about MLI properties, this study utilises a hedonic pricing model to quantify property values as a function of defined variables. The dataset used for this research is a sample portfolio of 26 multi-let industrial properties. The dataset was analysed alongside eleven physical, financial and locational factors. Interestingly, the hedonic pricing model results showed that only four characteristics are value-affecting across the selected properties: namely (1) Granularity of the property income, (2) Distance from the nearest motorway, (3) Distance to the nearest town centre and (4) Gross internal floor area. A chi–test confirmed that there was no significant difference between the modelled values and the supplied property valuations.FindingsThis preliminary study offers valuable insight into MLI property market drivers and could easily form a simple decision-making tool to examine potential MLI opportunities in this developing real estate asset class.Originality/valueIn detailing these key MLI property features, current research is limited and focused primarily on market commentary. New knowledge on the MLI property market can provide a platform creating interesting opportunities for fund managers with an intensive management engagement strategy.


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.


2019 ◽  
Vol 12 (3) ◽  
pp. 474-486
Author(s):  
Saverio Miccoli ◽  
Fabrizio Finucci ◽  
Rocco Murro

Purpose The study aims to propose an appraisal procedure based on the preferences stated by a sample of potential consumers and producers which makes it possible to obtain the hypothetical demand and supply curves and to estimate the most likely market value and transaction quantities for housing markets with unrevealed prices. Design/methodology/approach The procedure is divided into two steps: the first is aimed at selecting the alternatives that are most likely to meet the market’s preference by applying discrete choice (DC) analysis; the second makes it possible to estimate the potential demand and supply curves for the preferable alternatives singled out through DC analysis by using contingent valuation methods. Findings The results obtained considering only the hypothetical demand or the hypothetical supply differ by an average of 10 per cent from the actual sale price. Conversely, the values detected as the intersection of the hypothetical demand curve and the hypothetical supply curve, fall into variation margins that can be considered fully acceptable in real estate appraisal Originality/value As opposed to the applications performed in international real estate operations where reference is made solely to the potential demand estimate, the described procedure estimates the transaction value as the intersection between the hypothetical demand and supply curves, for the purposes of keeping account of the conditions that generally occur in the real market. Furthermore, it is possible to detect the incidence of the characteristics in market price formation, and to identify the market share of possible alternative assets and estimate the optimal quantity to be produced.


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):  
Jayanta Kumar Dash ◽  
Sumitra Panda ◽  
Golak Bihari Panda

PurposeThe authors discuss the value of portfolio and Black–Scholes (B–S)-option pricing model in fuzzy environment.Design/methodology/approachThe B–S option pricing model (OPM) is an important role of an OPM in finance. Here, every decision is taken under uncertainty. Due to randomness or vagueness, these uncertainties may be random or fuzzy or both. As the drift µ, the degree of volatility s, interest rate r, strike price k and other parameters of the value of the portfolio V(t), market price S_0 (t) and call option C(t) are not known exactly, so they are treated as positive fuzzy number. Partial expectation of fuzzy log normal distribution is derived. Also the value of portfolio at any time t and the B–S OPM in fuzzy environment are derived. A numerical example of B–S OPM is illustrated.FindingsFirst, the authors are studying some various paper and some stochastic books.Originality/valueThis is a new technique.


2020 ◽  
Vol 21 (3) ◽  
pp. 309-331 ◽  
Author(s):  
Harish Kumar Singla

PurposeThis study aims to investigate whether intellectual capital (IC) and its subcomponents enhance value and improve the profitability of real estate (RE) and infrastructure (INF) firms in India. In this study, IC is measured through the value-added intellectual coefficient (VAIC) model. The study further extends the VAIC model by incorporating an additional component of social welfare efficiency (SWE).Design/methodology/approachThe study uses the panel data investigation based on the data of 63 firms (22 RE and 41 INF firms), for a period of 10 years (2008–2017). The dependent variables in the study are return on assets (ROA) and market price to book value ratio (PB), whereas the independent variables are VAIC and its components. The panel is tested for stationarity, heteroscedasticity and multicollinearity problems. Finally, to account for heteroscedasticity and endogeneity, Arellano and Bond's (1991) panel regression estimator with robust estimates are used.FindingsThe findings of the study suggest that IC has a significant influence on the profitability and value of infra firms, whereas capital-employed efficiency (CEE) positively affects the profitability of both RE and INF firms.Originality/valueThe study is an attempt to find the effect of IC and its components on profitability and value of RE and INF firms in India. The author has also extended the VAIC model, which was introduced by Pulic (2000), by adding an additional IC component, i.e. SWE. The study uses Arellano and Bond's (1991) panel regression estimator with robust estimates, which helps produce robust results.


2000 ◽  
Vol 6 (5) ◽  
pp. 295-306 ◽  
Author(s):  
Vida Malienė ◽  
Artūras Kaklauskas ◽  
Edmundas Kazimieras Zavadskas

Multiple criteria analysis presented in this paper for property valuation may be used to the advantage of various interested parties. The representatives of various parties including appraisers, buyers, sellers and investors may use it for their particular purposes: appraiser may apply this method to real estate value analysis for determining the market, use and other values of real estate being mortgaged, ensured, privatised, divided or nationalised; investor may rely on it for more efficient use of this property; buyer may use it for choosing property which would satisfy his personal needs to the best advantage; seller can use it for determining the market price of his property that would ensure its competitive ability on the market. To satisfy all the needs described, multiple criteria valuation method presented in the paper may be successfully applied. To show its efficiency, the solution of a sample problem representing a real case is provided.


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