scholarly journals Analysis of decreasing natality trend in the Czech Republic

2008 ◽  
Vol 56 (3) ◽  
pp. 147-156
Author(s):  
Jitka Poměnková ◽  
Lenka Němcová
Keyword(s):  
Czech Republic ◽  
Regression Model ◽  
Multiple Regression Model ◽  
Living Standard ◽  
Second Step ◽  
Economic Factors ◽  
The Czech Republic ◽  
Financial Situation ◽  
Evaluation Influence ◽  
Family State

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.

scholarly journals PREDICTION FOR THE 2012 UNITED STATES PRESIDENTIAL ELECTION USING MULTIPLE REGRESSION MODEL

2012 ◽  
Vol 6 (2) ◽  
pp. 77-97
Author(s):  
Pankaj Sinha ◽  
Aastha Sharma Aastha Sharma ◽  
Harsh Vardhan Singh
Keyword(s):  
Regression Model ◽  
Unemployment Rate ◽  
Presidential Election ◽  
Voting Behavior ◽  
Presidential Elections ◽  
Multiple Regression Model ◽  
Economic Factors ◽  
Gdp Growth Rate ◽  
Proposed Model ◽  
Midterm Elections

This paper investigates the factors responsible for predicting 2012 U.S. Presidential election. Though contemporary discussions on Presidential election mention that unemployment rate will be a deciding factor in this election, it is found that unemployment rate is not significant for predicting the forthcoming Presidential election. Except GDP growth rate, various other economic factors like interest rate, inflation, public debt, change in oil and gold prices, budget deficit/surplus and exchange rate are also not significant for predicting the U.S. Presidential election outcome. Lewis-Beck and Rice (1982) proposed Gallup rating, obtained in June of the election year, as a significant indicator for forecasting the Presidential election. However, the present study finds that even though there exists a relationship between June Gallup rating and incumbent vote share in the Presidential election, the Gallup rating cannot be used as the sole indicator of the Presidential elections. Various other non-economic factors like scandals linked to the incumbent President and the performance of the two parties in the midterm elections are found to be significant. We study the influence of the above economic and non-economic variables on voting behavior in U.S. Presidential elections and develop a suitable regression model for predicting the 2012 U.S. Presidential election. The emergence of new non-economic factors reflects the changing dynamics of U.S. Presidential election outcomes. The proposed model forecasts that the Democrat candidate Mr. Barack Obama is likely to get a vote percentage between 51.818 % - 54.239 %, with 95% confidence interval.

scholarly journals COMPETITIVENESS ANALYSIS OF KAZAKHSTAN CONFECTIONARY SECTOR USING FINANCIAL DISCRIMINANT MODELS

2017 ◽  
Vol 5 ◽  
pp. 144-153
Author(s):  
Petr Hájek ◽  
Gulnar Zhunissova ◽  
Taťjana Čábelová ◽  
Adilya Baidildina
Keyword(s):  
Czech Republic ◽  
Predictive Models ◽  
Local Market ◽  
Z Score ◽  
The Czech Republic ◽  
Financial Situation ◽  
Central Asian ◽  
Discriminant Models ◽  
Score Model ◽  
Political Turmoil

Measuring competitiveness offers hundreds of analytical options. We have chosen to analyze and compare companies of confectionery sector in Kazakhstan. We opted to use bankruptcy and creditworthiness models and compare competitiveness through the financial situation of main competitors on that market. Companies analyzed comprise of two Ukrainian companies (Konti and Roshen), Russian companies (Nestlé Russian branch serving also Central Asian markets and KDV - Yaskino) and three local corporations Rakhat, Bayan Sulu and Konfety Karagandy. Models used for analysis are Altman z-score model, Taffler z-score model, IN99, IN01, IN05, and creditworthiness model. The IN models were created in the Czech Republic based on companies' data from the 1990s which was the period of higher inflation, small currency an big banking crisis, massive imports, developing competition and infrequent political turmoil. These models have comparably much greater benefits for analyzing companies in Kazakhstan because they are based on hundreds of companies in contrast to tens of companies on which Altman or Taffler based their famous and highly predictive models. We present an analysis of models in 2007 – 2016 period based on publicly accessible data. We show the IN models have valuable benefits for comparison compared with other older models and that they can disclose certain events or corporate situations in a clearer way than other Altman or Taffler z-score models and should be used in Kazakhstan and improved to suit better the local market environment.

scholarly journals Modelling direct payments to agriculture in a CGE Framework – analysis of the Czech Republic

2011 ◽  
Vol 57 (No. 11) ◽  
pp. 517-528 ◽  
Author(s):  
Z. Křístková ◽  
A. Habrychová
Keyword(s):  
Czech Republic ◽  
Policy Instruments ◽  
Value Added ◽  
Complete Removal ◽  
Living Standard ◽  
Negative Effects ◽  
Positive Role ◽  
The Czech Republic ◽  
Direct Payments ◽  
Positive Effect

The paper deals with modelling of the direct payments subsidies to agriculture and their impact on the economy of the Czech Republic. With the use of the general equilibrium model, scenarios concerning an increase of subsidies reaching 100% of the national envelope and a complete removal of both SAPS and Top-Up payments are applied. The results show that if the full amount of subsidies is granted, the value added in agriculture and the connected sectors is stimulated, with a positive effect on the total GDP. However, if the direct payments are completely removed, negative effects on employment can be expected, suggesting that the direct payments play a positive role in the economy. The paper further points out that the effects of direct payments on the incomes of farmer households are limited, suggesting that the farmers’ living standard should be supported by other policy instruments than the direct payments

Cross-border cooperation in the Czech-Austrian borderland

2019 ◽  
pp. 68-79
Author(s):  
Yu. I. Budiak ◽  
B. A. Giter ◽  
E. A. Grechko
Keyword(s):  
Czech Republic ◽  
Fire Department ◽  
Economic Factors ◽  
Significant Progress ◽  
Economic Space ◽  
The Czech Republic ◽  
The Sustainable Development ◽  
Economic Relations ◽  
Cross Border ◽  
Cross Border Cooperation

After WWII the transformation of the Czech-Austrian borderlands is connected with destruction of single ethno-cultural and economic space, lengthy period of the border impenetrability, social and economic backwardness of the borderlands. That period of Czech-Austrian relations has had lasting impact, strengthening the mental borders between the Austrian and the Czech that slows the recovery of the ties. The Czech-Austrian interaction within the framework of euroregions play a significant role in the revival of relationships. Among the existing in the Czech Republic euroregions with the participation of Austria (Shumava, Pomoraví, Silva Nortica), only Silva Nortica completely based on bilateral Czech-Austrian cooperation for the sustainable development of border areas. The article examines causes and consequences of the Czech-Austrian ties destruction, as well as the process of their recovery using the case of the Euroregion Silva Nortica. In the paper, we showed the importance of non-economic factors in the development of cross-border cooperation. Despite significant progress in the economic relations between Austria and the Czech Republic, especially in trade and tourism, the interaction in the borderlands remains low. To enhance this interaction, the countries attempts to create new “points of attraction” by consolidation of public services, for example, fire department within the euroregions

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
Keyword(s):  
Decision Making ◽  
Czech Republic ◽  
Regression Model ◽  
Legal Status ◽  
Risk Measure ◽  
Classification Tree ◽  
Population Level ◽  
Detailed Examination ◽  
Insurance Companies ◽  
The Czech Republic

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.

Government Subsidies to Non-profit Organisations and its Impact on Private Donations: Regional and Subsector Models

2017 ◽  
Vol 15 (2) ◽  
pp. 283-301 ◽  
Author(s):  
Marie Hladká ◽  
Vladimír Hyánek
Keyword(s):  
Czech Republic ◽  
Regression Model ◽  
Government Funding ◽  
Data Sources ◽  
The Czech Republic ◽  
Non Profit ◽  
Government Subsidies ◽  
Private Giving ◽  
The Past ◽  
Private Donations

Government subsidies to the non-profit sector are a significant source of income for non-profit organisations. One significant impact of these subsidies is on the changing scope of private giving. The objective of this paper is to use a regression model to test whether government funding in the Czech Republic encourages private gifts and large amounts of government funding discourages gifts. However, rather than focusing on aggregate data sources, this study examines how these impacts vary among regions and sub-sectors. These models help explain why studies conducted in the past frequently differed and were inconsistent in their findings.

scholarly journals Differences Among Czech Local Action Groups In Using Selected Principles Of Leader

2015 ◽  
Vol 46 (1) ◽  
pp. 41-48 ◽  
Author(s):  
M. Pechrová ◽  
K. Boukalová
Keyword(s):  
Czech Republic ◽  
Knowledge Transfer ◽  
Rural Development ◽  
The Other ◽  
Local Action ◽  
Second Step ◽  
The Czech Republic ◽  
Individual Features ◽  
The Individual ◽  
Action Groups

Abstract Local Action Groups (LAGs) are implementing LEADER principles in rural development. The aim of the paper is to create a typology of LAGs in the Czech Republic according to the factors linked to the individual features of LAG and to its organizational background. Four different groups of LAGs emerged: ‘stabilized’, ‘experienced’, ‘absorbing’, and ‘well-informed’. In the second step, it is assessed how particular groups fullfil selected features of the LEADER: knowledge transfer and bottomup approach. We conclude that ‘stabilized’ and ‘experienced’ LAGs, which are functioning for longer time and LAGs’ manager has longer experiences with LAG operation, have better knowledge transfer than those ‘absorbing’ or ‘well-informed’. This suggests that the rural development is realized by the so-called ‘project class’. On the other hand, the most active people cooperating with LAG management are in ‘experienced’ and ‘absorbing’ groups.

scholarly journals An Experimental Water Consumption Regression Model for Typical Administrative Buildings in the Czech Republic

Water ◽  
2018 ◽  
Vol 10 (4) ◽  
pp. 424 ◽  
Author(s):  
Jan Rucka ◽  
Jan Holesovsky ◽  
Tomas Suchacek ◽  
Ladislav Tuhovcak
Keyword(s):  
Czech Republic ◽  
Regression Model ◽  
Water Consumption ◽  
The Czech Republic

scholarly journals Remittance behaviour and integration process of Ukrainian migrants in Italy and the Czech Republic

2013 ◽  
Vol 3 (1) ◽  
pp. 1-11
Author(s):  
Elena Ambrosetti ◽  
Eralba Cela ◽  
Wadim Strielkowski
Keyword(s):  
Czech Republic ◽  
Demographic Characteristics ◽  
Integration Process ◽  
Specific Context ◽  
The Czech Republic ◽  
Financial Situation ◽  
Target Country ◽  
Context Characteristics ◽  
Remittance Behavior

This paper uses a case study of Ukrainian migrants in Italy and the Czech Republic to demonstrate the similarities in remittance behavior and integration process of same ethnic group in different destination countries. Our findings show that that remittance behavior of Ukrainian migrants in the Czech Republic and Italy is significantly determined by their financial situation, demographic characteristics, level of human capital and the level of integration as well as the specific context characteristics. In addition, we find evidence for the fact that Ukrainian migrants who are more settled in a target country will send less or no remittances to Ukraine and that therefore the Stark’s hypothesis of remittances decay holds true for this ethnical group regardless of the country of residence.

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