<abstract xmlns="http://www.w3.org/1999/xhtml">The article presents the results of estimating economic growth depending on the inflation levels in selected countries. The results were obtained by means of regression splines, in particular, cubic splines and a B-spline curve. The method applied helps to identify both the area of Non-Decreasing Economic Growth Rate of Inflation and inflation for which the rate of growth reaches its maximum. The calculations and graphic presentations demonstrate that maximum rates of economic growth were reached in inflation ranges of 5%-15% for Poland and 3%-16% for the G-20 countries studied. The data analysis leads to the conclusion that central bank margins for their accommodative monetary policies in the studied countries can be wider than it is implied by the doctrinal bases of the inflation targeting policy or its more restrictive version – strict inflation targeting.</abstract>

Kazimierz Pulaski University of Technology and Humanities in Radom

Non-Decreasing Economic Growth Rate Of Inflation (Ndegri) In Light Of Empirical Studies

<abstract xmlns="http://www.w3.org/1999/xhtml">This paper centres to the presentation of analyzed potential relations between the determinants of purchasing decisions regarding insurance products and socio-demographic variables, i.e. age, gender, place of residence, income, occupational status, and number of people in the household. The authors also examined whether making financial decisions in a household determines purchasing decisions concerning insurance products. The main hypothesis is: from the perspective of an elderly customer, inherent features of an analyzed insurance product are more vital than aspects regarding the sales process. The analysis was conducted using the ordered logit model, where factors determining purchases of insurance products were used as dependent variables.</abstract>

Factors Determining the Purchase of Insurance Products

<abstract xmlns="http://www.w3.org/1999/xhtml">The paper aims to present an empirical application of an originally developed model for corporate potential innovativeness assessment and comparison. The proposed model provides a framework for combined static and dynamic potential innovativeness assessment with the use of fuzzy logic. Fuzzy logic is used to assess corporate potential innovativeness from two perspectives: resources conditioning innovation activities in an enterprise, and the engagement of an enterprise in their continuous development. In this context, selected companies from the information technology sector listed on the Warsaw Stock Exchange were examined. The need for corporate innovativeness measurement and evaluation for management purposes arises from its growing importance in building enterprise value and achieving long-term competitive advantage. The proposed model enables the fairly current and good orientation in both general and a more in-depth innovativeness potential level of the assessed enterprises. This can be the basis for various comparison analysis and managerial decisions regarding e.g. innovation management as well as managing corporate image and reputation.</abstract>

The Use of Fuzzy Logic in Corporate Innovative Potential Assessment

<abstract xmlns="http://www.w3.org/1999/xhtml">Recently, there has been observed intensified research on the impact of income inequalities on aspects of socio-economic development in the European Union. However, there are no comprehensive analyses concerning the relationship between these phenomena. Therefore the subject of the paper is the influence of income inequalities on socio-economic development. The author would like to verify the hypothesis that the character of the impact of income inequalities on socio-economic development in the European Union is negative. Analysis was conducted for the European Union in 2004-2017 using the panel data model, also estimated was the synthetic indicator of socio-economic development. The research conducted in the paper leads to ambiguous conclusions. On the one hand, inequalities measured for the whole distribution of income have no influence on socio-economic development in the European Union. However, the income gap between the richest and the poorest hinders the mentioned phenomenon.</abstract>

The Influence of Income Inequalities on Socio-Economic Development in the European Union

<abstract xmlns="http://www.w3.org/1999/xhtml">The household production is a big aggregate which has no reflection in the current European system of national accounts. The market value of that production accounts for less than 10-15% of the total household production. Generally, household production can be estimated using the input method. Unpaid household work is the main input. There were many proposals of the way of estimating household work, but most economists prefer the market cost method. The first full sequence of accounts, entitled the Household Production Satellite Account for Poland (HHSA) was developed for 2011. It was proven that the value of the household work constitutes approximately 80% of the total value of household production, while the total value of household production in relation to GDP amounted to approximately 36.5%. Providing the regular calculation of the HHSA, which is a supporting tool for the core national accounts, will allow the recognition and better understanding of the transfers and interactions between the market and households. The value and size of the goods and services produced by households can be compared with similar products produced on the market by enterprises.</abstract>

Satellite Account Of Household Production. Methodological Remarks And Results For Poland

<abstract xmlns="http://www.w3.org/1999/xhtml">The goal of the article is the assessment of the relative intensity of exiting from unemployment of long-term unemployed people with relation to their characteristics: gender, age, education, seniority and the number of subsequent registrations. The modified Lunn-McNeil model for various types of competing events: accepting the job, refusal and remaining causes of de-registration was used in the research. The modification consisted of the application of the stratified Cox model of non-proportional hazard, which allowed to assess the relative hazard after entering the state of long-term unemployment. The individual data of persons registered in the County [Powiat] Labour Office in Szczecin were used in the research. Age had the greatest impact on the change in relative hazard at the transition to long-term unemployment, while the level of education had no significant impact. The research made it possible to identify groups of people taking up work with the least intensity and refusing to take up jobs with the greatest intensity. These people should be taken into consideration during the process of creating the labour market policy.</abstract>

The Modified Lunn-Mcneil Model in the Assessment of Intensity of Exiting from the Unemployment

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