scholarly journals The Assessment of a Building’s insurable Value using Multivariate Statistics: The Case of the Czech Republic

2019 ◽  
Vol 27 (3) ◽  
pp. 81-96
Author(s):  
Martin Cupal ◽  
Marek Sedlačík ◽  
Jaroslav Michálek

Abstract When concluding a property insurance agreement, adjustment of the insured amount poses a certain risk. From the policyholder’s point of view, the risk measure translates into the chosen target amount, which should correspond to the insurable value. The aim of the research is to determine a statistical model for prediction of the insurable value with using current models in the Czech Republic. The model for insurable value prediction proposed in this paper accepts the risk of decision making under uncertainty suitably. The model’s foundation is a synthesis of four core models discussing the addressed issue. The methodology is based on a classification tree created by the CART method, and multivariate linear regression. After the classification tree is created, the input variables which contributed to the classification are used in the regression model. The database consists of 125 family houses which went through a detailed examination (they were documented, measured, and their technical state and legal status were determined), and described in experts’ reports. The obtained results showed a high degree of statistical association of selected predictors with the estimated insurable value of property, as well as with the acceptable risk, and subsequently, a relatively low percentage of misclassified objects. The proposed multiple regression model proved to be statistically significant and can be used for objective estimations of insurable values free of insurance companies’ strategy. The designed methodology may be applied in other areas as well, for example, in decision-making processes at the population level in crisis situations.

Author(s):  
Jitka Poměnková ◽  
Lenka Němcová

The aim of this paper is factors identification of the decreasing natality trend in the Czech Republic between years 1991–2005. This identification is done with respect to the financial situation and living standard of families.The first step, analysis of natality factor – animation natality, is performed. Animation natality is divi­ded according to the mother family state in the time of the birth. Trend of born in marriage and trend out of marriage are described. Following analysis is focused on decreasing component of natality – number of born in marriage.The second step is time series correlation analysis used for identification and evaluation influence of demographic and economic factors on decreasing component of natality. Based on this analysis, in­fluen­cing factors for regression model describing natality are selected.The last step is formulation and estimation of multiple regression model describing causality between natality in marriage and selected factors.


Author(s):  
Jitka Machalová ◽  
Ida Vajčnerová ◽  
Kateřina Ryglová

The aim of this article is to show the possibilities of spatial modelling and analysing of assumptions of tourism development in the Czech Republic with the objective to make decision-making processes in tourism easier and more efficient (for companies, clients as well as destination managements). The development and placement of tourism depend on the factors (conditions) that influence its application in specific areas. These factors are usually divided into three groups: selective, localization and realization. Tourism is inseparably connected with space – countryside. The countryside can be modelled and consecutively analysed by the means of geographical information technologies. With the help of spatial modelling and following analyses the localization and realization conditions in the regions of the Czech Republic have been evaluated. The best localization conditions have been found in the Liberecký region. The capital city of Prague has negligible natural conditions; however, those social ones are on a high level. Next, the spatial analyses have shown that the best realization conditions are provided by the capital city of Prague. Then the Central-Bohemian, South-Moravian, Moravian-Silesian and Karlovarský regions follow. The development of tourism destination is depended not only on the localization and realization factors but it is basically affected by the level of local destination management. Spatial modelling can help destination managers in decision-making processes in order to optimal use of destination potential and efficient targeting their marketing activities.


2020 ◽  
Vol 20 (1) ◽  
pp. 237-264
Author(s):  
Olga Sitarz ◽  
Anna Jaworska-Wieloch

Summary The article explores the problem of significance the termination of pregnancy in the context of criminal responsibility. In the first step, the legal analysis is focused on establishing the change of legal status connected with abortion and all the consequences for criminal responsibility. The second section refers to the current act, trying to find the answer how to recognized the termination of pregnancy. The third part refers to legal situation in Czech Republic at this area. Finally, some reflections on the criminal liability for the place of the offence have been presented. The possibility of conviction for abortion in a country where it is legal should be examined..


Author(s):  
Andrea Holešinská

The paper deals with the evaluation of the state tourism policy of the Czech Republic. Primarily it focuses on the accomplishment of the strategic document the Concept of the State Tourism Policy of the Czech Republic for 2014-2020. The activities related to particular measures are examined and as well as the implementation of tools used by the state tourism policy is analysed. The state tourism policy of the Czech Republic is also confronted with the theoretical background. Therefore, the attention is paid to the decision-making process, the legitimacy of state interference in tourism and the role of the state in tourism policy. It is emphasized that external factors (e.g. global trends or COVID-19) have an impact on the decision-making process and the direction of tourism policy. The paper is based on the qualitative analysis of documents, which is supported by the analysis of secondary data sources.


Author(s):  
Filip Hampl

The local referendum is the only tool of direct democracy in the Czech Republic, allowing citizens to decide on issues falling within the independent competence of municipalities directly. The aim of the paper is to assess the use, voter turnout, binding force, and thematic focus of local referenda as a tool of direct participation of citizens in the decision-making on local issues in the Czech municipalities with respect to their size defined by the population in the period 2006-2019. To fulfil the aim, descriptive statistics, binary logistic regression, classification analysis and correlation analysis have been employed. A total of 288 local referenda were held in the examined period, 193 of them in the municipalities up to 1,999 inhabitants. The results do not indicate a statistically significant relationship between the municipality size and the holding of referenda. On the other hand, the results show a weakly negative correlation relationship between the municipality size and the turnout (the binding force, respectively). The referenda focused on territorial development, environment, alternative sources of power and infrastructure predominate in the municipalities up to 4,999 inhabitants. The referenda on municipal property and public order prevail in the municipalities with 5,000 and more inhabitants.


2014 ◽  
Vol 11 (3) ◽  
pp. 489-494 ◽  
Author(s):  
Katerina Maresova

Background:Several scientific studies estimate the burden of physical inactivity in different countries, yet in the Czech Republic, this kind of research is still missing. This paper represents one of the first attempts to quantify the costs of physical inactivity in the Czech Republic for 2008.Methods:The analysis, based on scientific literature review, uses the comparative risk assessment methodology and applies it on data available in the Czech Republic.Results:In 2008, the financial cost of physical inactivity to public health insurance companies was almost 700 million Kč, or 0.4%, of total healthcare costs. Furthermore, physical inactivity caused 2442, or 2.3%, of all deaths in 2008 and 18,065, or 1.2%, of all disability-adjusted life years in 2004.Conclusions:The costs of physical inactivity in the Czech Republic are considerable, yet slightly smaller than in other comparable studies. The obtained results could be used as an argument for policymakers when conceiving public or private health policy.


Author(s):  
Jiří Mazurek ◽  
Cristina Pérez Rico ◽  
Carlos Fernández García ◽  
Jean-Pierre Magnot ◽  
Tristan Magnot

The aim of this paper is to examine how people perceive correspondence between the 5-item Likert scale and the percentage scale (the LS-PS correspondence thereinafter). Are all five items of the Likert scale equidistant? Do people use the same scale when evaluating different objects? Are men and women different? Are people from different countries / cultures different? The method of the study was a questionnaire with 661 participating respondents altogether from the Czech Republic, Ecuador, and France. The results indicate that the 5-item Likert scale is neither equidistant, nor symmetrical. Furthermore, there are (highly) statistically significant differences in the LS-PS correspondence with respect to location, age, or gender of respondents. The results can be used as an input for more precise decision-making modeling associated with (fuzzy) linguistic variables.


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