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1

Forecasting of Households Consumption Expenditure with Nonparametric Regression: The Case of Turkey

100%
Aydin N., Akmercan T.
Zagreb International Review of Economics and Business
|
2016
|
vol. 19
|
issue 2
19-32
EN
The relationship between household income and expenditure is important for understanding how the shape of the economic dynamics of the households. In this study, the relationship between household consumption expenditure and household disposable income were analyzed by Locally Weighted Scatterplot Smoothing Regression which is a nonparametric method using R programming. This study aimed to determine relationship between variables directly, unlike making any assumptions are commonly used as in the conventional parametric regression. According to the findings, effect on expenditure with increasing of income and household size together increased rapidly at first, and then speed of increase decreased. This increase can be explained by having greater compulsory consumption expenditure relatively in small households. Besides, expenditure is relatively higher in middle and high income levels according to low income level. However, the change in expenditure is limited in middle and is the most limited in high income levels when household size changes.
2

Hazard Function as a Tool to Diagnose Business Liquidation

100%
Markowicz I.
Folia Oeconomica Stetinensia
|
2014
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vol. 13
|
issue 2
23-36
EN
Research of firms cohorts, such as human cohorts, are carried out by means of the methods of survival analysis (duration). The paper presents the possibility of using expectancy tables and intensity function (hazard) of firms liquidation. This function may take a typical shape such as shape of a “bathtub” – the intensity of deaths, or the shape of an inverted U – the intensity of firms liquidations.
3
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On Measuring Income Polarization: An Approach Based on Regression Trees

86%
Mussini M.
Statistics in Transition new series
|
2016
|
vol. 17
|
issue 2
221-236
EN
This article proposes the application of regression trees for analysing income polarization. Using an approach to polarization based on the analysis of variance, we show that regression trees can uncover groups of homogeneous income receivers in a data-driven way. The regression tree can deal with nonlinear relationships between income and the characteristics of income receivers, and it can detect which characteristics and their interactions actually play a role in explaining income polarization. For these features, the regression tree is a flexible statistical tool to explore whether income receivers concentrate around local poles. An application to Italian individual income data shows an interesting partition of income receivers.
4

Estimation of Employee Turnover with Competing Risks Models

86%
Grzenda W., Buczyński M. K.
Folia Oeconomica Stetinensia
|
2015
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vol. 15
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issue 2
53-65
EN
Employee turnover accompanies every business organization, regardless of the industry and size. Nowadays, many companies struggle with problems related to the lack of sufficient information about the nature of employee turnover processes. Therefore, comprehensive analysis of these processes is necessary. This article aims to examine the turnover of employees from a big manufacturing company using competing risks models with covariates and without covariates. This technique allows to incorporate the information about the type of employment contract termination. Moreover, Cox proportional hazard model enables the researcher to analyse simultaneously multiple factors that affect employment duration. One of the major observations is that employee remuneration level differentiates most strongly the risk of job resignation.
5

Economical Activity Of The Polish Population

86%
Bieszk-Stolorz B., Markowicz I.
Folia Oeconomica Stetinensia
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2014
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vol. 14
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issue 2
198-210
EN
The aim of the article is to examine the impact of a job seeker’s gender, education, age on their employment odds in Poland in 2011. The research includes Polish population which was economically active and aged 15 and more in 2011 (17,951 thousand people). The research tool was a logit model. The starting point for the analysis was the construction of a model that related employment to gender only. Then other models with many explanatory variables were constructed. Since the gender related odds ratios that have been determined for the sake of those models are interpreted under the assumption that the other variables are constant, it indicates that the women’s and men’s odds ratio remains the same in urban and rural areas, on every education level and in every age group. But in reality it is not true. This is why we estimated the models that contained only one explanatory variable (gender) for individual subgroups and models with the interactions.
6
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Efficiency frontier on Japanese banking system

72%
Ivan I. C., Bucharest Academy of Economic Studies
Ekonomia Międzynarodowa
|
2015
|
vol. 012
EN
Since the emergence of the efficiency frontier techniques, a series of comparisons between the methods that led to the resultant efficiency has been presented. In this paper, data from 99 Japanese banks are used in order to prove the applicability of efficiency frontier analysis on the East-Asian financial system and to reveal the differences between inter and intra-regional banks, showing the effect of the present financial crisis on the efficiency of the studied banks. DEA and FDH are used to determine the technical and scale efficiency of the analyzed banks and also it compares fully efficient banks by ranking them through the super-efficiency notion.
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