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1

Regresja wektorów losowych dla wielowymiarowego rozkładu t-Studenta

100%
Najman P.
Zeszyty Naukowe Uniwersytetu Ekonomicznego w Krakowie
|
2011
|
issue 876
105-120
EN
The paper examines the concept of „conditional expected value”, which is of great importance in modern finance. The considerations are carried out on a five dimensional random vector with multivariate t-Student distribution. In the first part we construct a distribution of its coordinates in a 2:3 ratio (i.e., the vectors are two-and three-dimensional, respectively) in order to find an effective two-dimensional vector regression function in relation to the three-dimensional vector. To that end, the probability density distribution of the boundary three-dimensional vector is determined (by calculating the appropriate double integral), and then the conditional probability density distribution of two-dimensional vector was used to produce the three-dimensional vector. The second part of the paper discusses the reasoning presented in the first part and then generalises it for a random vector of any size that will remain applicable provided that it is a multi-dimensional random vectors with t-Student distribution. The results (the general form of the regression function) are illustrated with a specific quantitative example that maintains a „hyperplane” regression.
2
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Forecasting of manufacturing production index using business survey results of IRG SGH

80%
Dudek S.
Roczniki Kolegium Analiz Ekonomicznych
|
2005
|
vol. 14
163-184
EN
The main aim of the paper is to research usefulness of business survey results of IRG SGH for forecasting of manufacturing production yearly index (YoY). For this purposes there were used single equation regressions. The regressions use as a explanatory variables business survey indexes with different possible leads. Paper uses 8 questions from the IRG SGH industrial survey in the perception and expectation form and also general business indicator. All model are investigated for raw, seasonally adjusted and smoothed time series. In addition qualitative models are compared with autoregression model. The general conclusion of the research are: models for seasonally adjusted and smoothed series have better forecasting properties; qualitative models have better forecasting properties than autoregression model; qualitative models allow for two-months ahead forecasts; the models for balances have comparable forecasting properties or even better than models based on fractions from particular questions
3

FLOWS IN THE CZECH LABOR MARKET AND FOREIGN WORKERS

61%
Pošta V., Macáková L.
Ekonomický časopis (Journal of Economics)
|
2015
|
vol. 63
|
issue 10
Macáková
EN
In the paper we analyse the flows in and out of the unemployed together with the flows of the foreign workers into the Czech labour market. Using the statistical data we provide comparison of the number of foreign workers and the unemployment rate in the Czech Republic and analyse the skill levels of jobs that the foreigners occupy. To test the possible effects of the presence of the foreign workers we use the theory of the search models and regression analysis and check for possible effects of foreign workers on the dynamics of wages and unemployment rate. We show that there no significant effects of foreign workers and that the search model gives rather satisfactory results with respect to the other determinants of wage growth and unemployment rate.
4

TECHNOLOGICKÝ PARADOX A HODNOTENIE PRÍNOSOV INFORMATIZÁCIE

61%
Szudzina F., Kmec P.
Ekonomický časopis (Journal of Economics)
|
2006
|
vol. 54
|
issue 3
281-293
EN
Due to the phenomenon of the technological paradox, much research has concentrated on measuring of the impact of the information systems and the information technology (IS/IT) on performance of the companies. The methods and the focus of research gradually evolved as the economy shifted from the industrial to the post-industrial, with rapid expansion of IT. The methods are quantitative, qualitative, or combination of both. The main contribution of this paper is the specification of the methods which could be used to determine the relative importance of the selected attributes. The authors propose one of the following methods: i) multiple regression with data analysis, ii) inductive logic programming, and iii) factor analysis or principle component analysis.
5

EFFICIENCY OF PUBLIC HIGHER EDUCATION INSTITUTIONS: A META-ANALYSIS

51%
Mikušová P.
Ekonomický časopis (Journal of Economics)
|
2020
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vol. 68
|
issue 9
963 – 977
EN
Measuring the efficiency of public higher education institutions has become a subject of many studies. We analyse these studies using meta-analysis and identify the most commonly adopted inputs and outputs in the DEA and SFA models (e.g. the number of students, graduates, and academic staff). Data obtained from these studies were used for meta-regression analysis. We analyse the effect of independent variables (sample size, the number of inputs and outputs, method used, model orientations, returns to scale and to the country) on the average technical efficiency of public higher education institutions. Finally, we use this model to predict the average technical efficiency of the Czech and Slovak public higher education institutions.
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