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This article identifies the concept of market value as a standardizing concept that coordinates the actions of market participants in relatively inefficient real estate markets. The paper also identifies different levels of discourse that reflect the organizational/institutional complexity of the real estate appraisal profession. The standardizing effect of market value includes a cognitive and fiduciary component. Using this framework, the paper traces the influence of Richard T. Ely’s institutional economics – and its legacy in the form of the research program of Urban Land Economics at the University of Wisconsin – on the formation and development of the standards of appraisal and ethical practice. This complexity is traced historically from the early part of the 19th century to the formation of the professional organizations and the establishment of their standards, and also through a series of reform efforts in the 1960s and 1980s that were articulated in the academic community. The paper illustrates the manner in which Institutional Economics has been influential in the continuing development of the real estate appraisal profession and suggests reasons for its continuing relevance.

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.

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.

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.

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.

This paper analyses the construction of value under the context of radical uncertainty (Keynes, 1936; Orléan, 1987) in the financialised real estate sector in France. It is based on a participant observation of valuation practices in an international real estate consulting firm and 26 in-depth interviews with professionals of the sector. We show that these practices rely on an institutional architecture that participates in the consolidation and legitimisation of the accumulation activity of asset managers and thus in the feeding of real estate bubbles in the hearts of large metropolises. Completing the conventionalist approach of value (Orléan, 2011) by focussing on the functioning of the organisations involved in the valuation process, I show that the determination of value is less the result of the emergence and autonomisation of a collective belief through market relationships than the product of power relationships between agents integrated in hierarchical professional organisations and in a specific legal framework.

Price indices for commercial real estate markets are difficult to construct because assets are heterogeneous, they are spatially dispersed and they are infrequently traded. Appraisal-based indices are one response to these problems, but may understate volatility or fail to capture turning points in a timely manner. This paper estimates “transaction linked indices” for major European markets to see whether these offer a different perspective on market performance. The paper aims to discuss these issues.

The assessed value method is used to construct the indices. This has been recently applied to commercial real estate datasets in the USA and UK. The underlying data comprise appraisals and sale prices for assets monitored by Investment Property Databank (IPD). The indices are compared to appraisal-based series for the countries concerned for Q4 2001 to Q4 2012.

Transaction linked indices show stronger growth and sharper declines over the course of the cycle, but they do not notably lead their appraisal-based counterparts. They are typically two to four times more volatile.

Only country-level indicators can be constructed in many cases owing to low trading volumes in the period studied, and this same issue prevented sample selection bias from being analysed in depth.

Discussion of the utility of transaction-based price indicators is extended to European commercial real estate markets. The indicators offer alternative estimates of real estate market volatility that may be useful in asset allocation and risk modelling, including in a regulatory context.

Our research aims in designation of a hybrid approach in the calibration of an attribute impact vector in order to guarantee its completeness in case when other approaches cannot ensure this.

Real estate mass appraisal aims at valuating a large number of properties by means of a specialised algorithm. We can apply various methods for this purpose. We present the Szczecin Algorithm of Real Estate Mass Appraisal (SAREMA) and the four methods of calibration of an attribute impact vector. Eventually, we present its application on the example of 318 residential properties in Szczecin, Poland.

We compare the results of appraisals obtained with the application of the hybrid approach with the appraisals obtained for the three remaining ones. If the database is complete and reliable, the econometric and statistical approaches could be recommended because they are based on quantitative measures of relationships between the values of attributes and properties' unit values. However, when the database is incomplete, the expert and, subsequently, hybrid approaches are used as supplementary ones.

The application of the hybrid approach ensures that the calibration system of an attribute impact vector is always complete. This is because it incorporates the expert approach that can be used even if the database excludes application of approaches that are based on quantitative measures of relationship between the unit real estate value and the value of attributes.

This paper aims to find out whether lagging problems exist within Hong Kong's office values.

A State Space Model with the Kalman filter is deployed in detecting the extent of lagging errors in Hong Kong's office price indices, proffered by the ratings and valuation department (RVD).

The findings suggest that about one year of lagging errors exists in RVD's office price indices compared with the stock market property indices. Also, the finding suggests that the Kalman filter provides a more efficient form of estimates for real estate values and returns.

While most studies investigating lagging problems of appraisal‐based returns concentrate on the US real estate market, studies in this regard for Asian countries (or cities) are few and far between. Hong Kong, in particular, is worth studying, considering its established role as a financial centre in South East Asia. This paper also provides some insights for further studies on the prediction of future real estate values, in particular those with fewer transactions.

This paper aims to trace the evolution of the theory and practice of valuation of real estate interests. Using a historical perspective, especially in the context of recent events, it identifies an emerging unification of thought and application that has important implications for the future.

The paper identifies and synthesizes the contributory literature to the philosophical underpinnings of value theory and practice as applied to real estate. From pre‐history to the present, it traces classical concepts and the way these are related to the recent innovations in economic and financial valuation theory.

Recent contributions to value theory hold the promise of unifying and transforming the practice of real estate appraisal to one that is state‐of‐the‐art in terms of its contemporary relevance. However, numerous issues remain as obstacles, including insufficient recognition of the “real” nature (as opposed to “capital” nature) of real estate; a lag in educational standards to bring the profession up to date; an excessive reliance on models and data rather than judgment and common sense; and “silo‐ization” of specialties. Promising directions for future research are identified.

The task of valuation of interests in real property has taken on an increasingly important role, as the market for real estate has grown and become more liquid and complete. This paper provides a perspective on where it has come from and where it must go in the future in terms necessary changes in theory and practice to remain viable and relevant.

The purpose of this paper is to present how prior knowledge about the impact of real estate features on value might be utilised in the econometric models of real estate appraisal. In these models, price is a dependent variable and real estate features are explanatory variables. Moreover, these kinds of models might support individual and mass appraisals.

A mixed estimation procedure was discussed in the research. It enables using sample and prior information in an estimation process. Prior information was provided by real estate experts in the form of parameter intervals. Also, sample information about the prices and features of undeveloped land for low-residential purposes was used. Then, mixed estimation results were compared with ordinary least squares (OLS) outcomes. Finally, the estimated econometric models were assessed with regard to both formal criteria and valuation accuracy.

The OLS results were unacceptable, mostly because of the low quality of the database, which is often the case on local, undeveloped real estate markets. The mixed results are much more consistent with formal expectations and the real estate valuations are also better for a mixed model. In a mixed model, the impact of each real estate feature could be estimated, even if there is no variability in the sample information. Valuations are also more precise in terms of their consistency with market prices. The mean error (ME) and mean absolute percentage error (MAPE) are lower for a mixed model.

The crucial problem in econometric property valuation is that it involves the unreliability of databases, especially on undeveloped, local markets. The applied mixed estimation procedure might support sample information with prior knowledge, in the form of stochastic restrictions imposed on parameters. Thus, that kind of knowledge might be obtained from real estate experts, practitioners, etc.

Whilst the real estate development appraisal practices of large national and international real estate companies are well understood, relatively little is known about how development appraisals are conducted by indigenous appraisers and valuers in developing countries. The purpose of this paper is to investigate how development appraisal is conducted in Brazil, compared to the UK, focusing primarily on the methods employed by small- and medium-sized real estate practices and their appraisers to appraise the viability of commercial real estate developments in the State of Sao Paulo.

The study employs a two phase Delphi Method to capture and analyse empirical data from small- and medium-sized real estate appraisers in Brazil. Using the long established and relatively transparent UK Residual Method of development appraisal as a template against which to compare Brazilian appraisal methods, guidance and practice. To understand how indigenous development appraisers operate the Brazilian development appraisal methods, the research was conducted in Portuguese by a bi-lingual real estate expert who was familiar with both UK and Brazilian practice.

The research establishes that appraisers working for small- and medium -sized real estate practices in Brazil rarely use the Residual Method. Instead, they employ a range of methods, the choice of which is heavily influenced by the availability of comparable market data, with Direct Comparison of market data and the Capitalisation of Income being the methods of choice. Appraisers rarely employ the Residual Method as the principal development appraisal technique, using instead the Comparative Method and Discounted Cash Flow (DCF) analysis. Land prices are usually agreed or already known and developer’s profit is usually determined using DCF analysis and is highly sensitive to fluctuations in construction costs.

The research engaged with a small number of appraisers and valuers in small- and medium-sized practices in the State of Sao Paulo using a two-phase Delphi Method. The long established UK Residual Method of development appraisal was used as a template against which to compare practice in Sao Paulo State. There is potential therefore to replicate the research in other Brazilian States and transfer the methodology to other developing countries.

In Brazil, when development land in urban areas is acquired on the basis of plot exchange, land is often sold at less than market value and the original landowner retains an equity stake in the development and shares in the development overage. The practice of “permuta física”, giving landowners the freehold of part of the development, or “permuta financeira”, whereby the landowner receives an enhanced land price, indexed against development value, is of potential relevance to the UK and other developed countries that need help in urban unlocking land markets.

The research is a unique comparative study of development appraisal methods employed by small- and medium-sized practices in Brazil. It contributes to the limited literature that has so far been published in English on Brazilian development appraisal methods and reveals the similarities and differences with the Residual Method of development appraisal that is widely used in the UK and other developed countries.

The major purpose of this paper is to refocus the appraisal profession on estimating value rather than explaining price. The appraisal profession itself encompasses many disciplines of valuation beyond real estate, and transcends disciplines such as economics, the construction trades, business, finance, law, government, statistics, mathematics, geography, geology, mapping, and information sciences.

This paper describes how rapidly changing capital market conditions greatly affected transaction prices for real estate when underlying economic fundamental values of these properties remained unchanged. As such, differences between transaction prices and underlying economic value can be determined when capital markets rapidly expand or contract.

Most of the concepts, methods, processes, and techniques that appraisers use today are the direct result of studies performed within the academic community and most often from some other related field of study, rather than from pure valuation research itself. This is where the problems with which one is living today have erupted.

Property values and transaction prices are two very different beasts: value is a concept, whereas price is a reality. Appraisers have somehow forgotten that the price paid for real estate can be quite different from the value of that same parcel of real estate.