Influences of Social Services of General Interest on the Market Value of Residential Real Estate

2021 ◽  
Author(s):  
Alexandra Weitkamp ◽  
Manfred Klaus
Keyword(s):  
Real Estate ◽  
Social Services ◽  
Market Value ◽  
General Interest ◽  
Residential Real Estate ◽  
Services Of General Interest

Der apollinisch-dionysische Geist der Sozialpolitik und der Gemeinwirtschaft

2021 ◽  
Author(s):  
Frank Schulz-Nieswandt
Keyword(s):  
Social Policy ◽  
Social Services ◽  
Logical Form ◽  
Welfare Economics ◽  
Philosophy Of History ◽  
General Interest ◽  
Historical Dynamics ◽  
Caring Communities ◽  
Services Of General Interest ◽  
Free People

In this book, the historical dynamics of social policy, common welfare economics and the politics of social services of general interest, justified by personalist ethics, are understood as endogenous, dialectical mechanisms of the polarity between the principles of Apollonian order and Dionysian transgression; as a logical form of the philosophy of history on the ontological pathway to the concrete utopia of the truth of socially caring communities comprised of free people living according to their belief in reciprocal responsibility; and as a system of solidarity based on love.

Building a European Community: social service provision between inclusion and economic interests

2020 ◽  
Vol 43 (3) ◽  
pp. 406-415
Author(s):  
Katinka Kraus
Keyword(s):  
European Commission ◽  
Social Services ◽  
Social Service ◽  
Economic Activity ◽  
Service Provision ◽  
General Interest ◽  
The European Union ◽  
Economic Activities ◽  
Economic Interests ◽  
Services Of General Interest

Inclusion and the associated provision of social services is a central fundamental right in the European Union. Social services of general interest are based on the principles of an inclusive welfare state enshrined in EU primary law. However, the European Commission tends to interpret these social services rather economically. This paper shows that the way in which these services are provided in the Member States is decisive for the categorization of an economic or non-economic activity by the European Commission. Whether social services are to be classified as being related to economic activities and, therefore, subject to the competition and internal market rules depends on their organization and structure.

scholarly journals Economic Recession and Health

2014 ◽  
Vol 4 (3) ◽  
pp. 33-35
Author(s):  
Eleni Theocharous
Keyword(s):  
Social Services ◽  
Economic Crisis ◽  
Economic Recession ◽  
Sufficient Evidence ◽  
General Interest ◽  
Poor People ◽  
Ordinary People ◽  
Health And Social Services ◽  
Proper Functioning ◽  
Services Of General Interest

The economic crisis, which struck in Europe since 2008, has raised concerns about the health of the less privileged, vulnerable and poor people of the continent - the ordinary people of Europe. There is currently sufficient evidence for the negative and, in certain countries, devastating effects of austerity policies on the financing of health and other services of general interest, essential to promote the proper functioning of our economies and the cohesion of our societies. This evidence proves that health and social services are seriously impaired.

scholarly journals Considerations for a Regression-Based Real Estate Valuation and Appraisal Model: A Pilot Study

2019 ◽  
Vol 8 (2) ◽  
pp. 99
Author(s):  
Shawn L. Robey ◽  
Mark A McKnight ◽  
Misty R. Price ◽  
Rachel N. Coleman
Keyword(s):  
Pilot Study ◽  
Real Estate ◽  
Market Value ◽  
Residential Real Estate ◽  
Independent Variables ◽  
Real Estate Valuation ◽  
Scientific Approach ◽  
Traditional Approaches ◽  
Different Characteristics ◽  
Total Market

This paper advocates a more scientific approach to residential real estate valuation as opposed to more traditional approaches, which are flawed for two main reasons: (1) appraiser judgements are almost exclusively used and (2) appraisers’ sample sizes are too small to provide adequate estimated values. By using a regression model, this paper explores the impacts of different characteristics on market value. Three hundred and fifteen properties in Evansville, Indiana, were analyzed testing twelve different variables. This model suggests that 91.8% of the total market value variation is explained by four independent variables. These findings provide evidence that multiple linear regression could be used to better predict a property’s value.

scholarly journals Market and cadastral data comparison for the real estate market value forecasting

2020 ◽  
Vol 17 (4) ◽  
pp. 44-54
Author(s):  
M. B. Laskin ◽  
P. A. Cherkesova
Keyword(s):  
Real Estate ◽  
Normal Distribution ◽  
Market Value ◽  
Real Estate Market ◽  
Residential Real Estate ◽  
Market Data ◽  
The Real ◽  
The Real Estate ◽  
Saint Petersburg ◽  
The Real Estate Market

The aim of the research is to develop theoretical and methodological approaches to market value forecasting in the real estate market. The relevance of the research is determined by the system-forming place that the real estate market occupies in the economy of the country and regions, affecting the interests of owners of various forms of ownership, construction and development companies, insurance companies, banks. Another aspect that determines the actuality of the study is the discrepancy between well-structured cadastral databases and market data dispersed between different owners of information resources, and the unstructured nature of market data, which in most cases is focused on advertising, rather than on analytical market research.Materials and methods. The study uses a model of a multidimensional logarithmically normal distribution law of the ensemble of prices for residential real estate at equidistant points of time and cadastral value, the ARIMA model for predicting market value, taking into account the features of the logarithmically normal distribution of prices, as a distribution with positive asymmetry. As a statistical material, we used market data on residential real estate published in the periodical press in the period from the end of 2012 to 2018. The volume of samples of weekly publications is 15000-20000 objects; data for 21 quarters (more than five years) was used. As a comparison base, we used data from cadastral registration of real estate objects in Saint Petersburg for 2018. The total volume of the cadastral database of residential real estate in Saint Petersburg (individual apartments) is 2 226734 objects with a fairly complete (and well-structured) set of price-forming factors. The authors propose a method for estimating the most likely movement of the market value for a pre-selected real estate object that has passed cadastral registration and has a cadastral value entered in the register and predicting the market value in the future period.Results. The theoretical significance of the work is the proposed algorithm for estimating the most probable trajectory of the market value of the investigated object, based on the conditional multivariate log-normal distribution for a given value of the cadastral value. A well-developed and studied ARIMA time series forecasting model is applied to the logarithms of the obtained time series, the return from logarithmic prices to real prices is carried out taking into account the peculiarities of the logarithmically normal distribution. Results are compared with median scores and estimates, obtained by average values.Conclusion. The paper shows that the introduction of cadastral value in the Russian Federation opens up new opportunities for analyzing and forecasting market prices, since cadastral databases contain the most complete lists of real estate objects, including the cadastral value, which now, in accordance with the law, must be updated at least once every three years and, as of 2015 and 2018, was determined as the market value, therefore, until the next cadastral assessment, can serve as a basis for constant comparison with market data, which are constantly changing, primarily in the composition of objects.

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