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EN
The economic system of the Republic of Poland was studied with the use of econometric modeling. Simultaneous equation system model that describes interdependence of major macroeconomic indicators of Poland and its household’s indicators was built. Several imitational experiments were made with the model to show the government’s economic policy influence on the country’s economic system.
EN
The authors have developed an econometric growth model to estimate an “optimal” diversification of wages. Pay disparities are optimal when they produce the highest rate of GDP growth. An optimal diversification of wages can be calculated by introducing a variable thanks to which the model will measure “parabolic” disparities. The authors advance a hypothesis that there is an optimal level for the diversification of wages. If pay disparities are smaller than optimal, the most creative, hard-working and efficient individuals are insufficiently rewarded and are not properly encouraged to take advantage of their capabilities in contributing to gross domestic product. If wage disparities are greater than optimal, employees with lower qualifications are underpaid. This can be accompanied by feelings of social injustice and a sense of exploitation and impoverishment. This harms interpersonal ties and the relationship between employees and employers, in addition to limiting people’s confidence and reducing social capital. In such a situation, low-paid employees have little incentive to work. They only have enough motivation to satisfy their minimum biological needs and stay above the poverty line. Underpaid employees display insufficient creativity and dedication. The empirical analysis conducted by the authors for the Polish economy applies to the 1986-2004 period. The analysis shows that pay disparities are higher than optimal and have grown steadily since 1999. A statistically significant slowdown in productivity caused by an excessive diversification of wages occurred in 2003 and 2004. At the time, productivity dropped by around 0.5 and 0.8 percentage points respectively.
EN
In this paper we applied the regression approach and Bayesian inference to obtain more accurate forecasts of the inflation rate in the case of the Romanian economy. The necessity of using the most accurate forecasts for the inflation rate is required by the realisation of economic criteria for the accession to the eurozone and by the inflation targeting strategy of the National Bank of Romania. Considering the assumption that simple econometric models provide better forecasts than complex models, in this paper we combined various forecasts from individual models using as prior information the expectations of experts. The empirical findings for Romanian inflation rate forecasts over the horizon of 2016-2018 indicated that a fixed effects model performed better than other simple models (autoregressive moving average model, dynamic model, simple and multiple linear model, VAR, Bayesian VAR, simultaneous equations model). The Bayesian combined forecasts that used experts’ predictions as priors, with a shrinkage parameter tending to infinity, improved the accuracy of all predictions using individual models, outperforming also naïve forecasts and zero and equal weights forecasts. However, predictions based on Monte Carlo simulation outperformed all the scenarios in terms of the mean error and mean absolute error.  
EN
The paper attempts to use the econometric model in the evaluation of trends in the economy of the Śląskie Voivodeship. The analysis is mainly based on the final equation of the model. The characteristic roots indicate that the economy of Upper Silesia does not have a cyclical nature (the lack of complex roots) and the private enterprise sector is characterised with higher efficiency than the public enterprise sector, since the curve for endogenous variable yt is converging with the asymptote y = 0 more quickly in the case of public enterprises than in the case of private enterprise sector.
PL
Celem niniejszego opracowania było zweryfikowanie wpływu niefinansowych zasobów opieki zdrowotnej – liczby łóżek, lekarzy oraz pielęgniarek – na wybrane wskaźniki zdrowia, tj. oczekiwaną długość życia w momencie narodzin oraz współczynnik śmiertelności niemowląt. W pierwszej części referatu skupiono się na przedstawieniu zagadnień teoretycznych związanych z efektywnością w opiece zdrowotnej, co miało na celu wskazanie podstawowych niefinansowych determinant opieki zdrowotnej. Drugą część opracowania stanowiła analiza statystyczna wybranych nakładów i rezultatów opieki zdrowotnej. Z przedstawionych danych wynika, iż zarówno wskaźniki zdrowia, reprezentujące rezultaty, jak i niefinansowe zasoby opieki zdrowotnej – będące nakładami – uległy poprawie w województwach polskich na przestrzeni 7 lat (od roku 2006 do 2012). Trzecią część referatu stanowiło modelowanie ekonometryczne, mające na celu zweryfikowanie statystycznej istotności zmiany niefinansowych zasobów opieki zdrowotnej na wybrane wskaźniki zdrowia. Zgodnie z otrzymanymi wynikami, spośród wybranych do badania zmiennych, jedynie liczba łóżek na 10 000 mieszkańców nie miała statystycznie istotnego wpływu na kształtowanie się wybranych wskaźników zdrowia.
EN
The aim of this study was to verify the impact of non-financial health care resources - the number of beds, doctors and nurses - to selected health indicators, such as life expectancy at birth and infant mortality. The first part of the paper focuses on the presentation of theoretical issues related to efficiency in health care, to identify the primary non-financial determinants of health care. The second part of the study was a statistical analysis of selected inputs and outcomes of health care. The presented data show that both health indicators representing the results, as well as nonfinancial health care resources (inputs) - have improved in Poland over seven years (from 2006 to 2012). The third part of the report was an econometric study to verify the statistical significance of changes in non-financial health care resources on selected health indicators. According to the results, only the number of beds per 10 000 inhabitants had no statistically significant effect on the selected health indicators.
EN
In our studies we deal with estimating of the optimal ranges of earnings – the optimal of Gini indexes which are favourable to maximization of the GDP growth in Poland. We suspect that the optimal Gini coefficients expressing the acceptance of the whole of society for earnings inequalities can increase. In the article we formulated a hypothesis on the social habit to increasing disproportions of earnings. We verified the hypothesis on the basis of the model of the economic growth using data from 1970 to 2007. We carried out econometric studies in two stages. In the first stage we estimated the optimal Gini coefficients for short sub-periods being moved increasingly in time. In the second stage, we studied the character of changes of the optimal Gini coefficients. In the studies we proved the hypothesis on the habit of society to increasing disproportions of earnings. The optimal Gini coefficients increase along with the increase of differences in earnings and the increase of the economic level per capita. The growth of the optimal Gini coefficient may be slowed down.
EN
In this paper we applied the regression approach and Bayesian inference to obtain more accurate forecasts of the inflation rate in the case of the Romanian economy. The necessity of using the most accurate forecasts for the inflation rate is required by the realisation of economic criteria for the accession to the eurozone and by the inflation targeting strategy of the National Bank of Romania. Considering the assumption that simple econometric models provide better forecasts than complex models, in this paper we combined various forecasts from individual models using as prior information the expectations of experts. The empirical findings for Romanian inflation rate forecasts over the horizon of 2016-2018 indicated that a fixed effects model performed better than other simple models (autoregressive moving average model, dynamic model, simple and multiple linear model, VAR, Bayesian VAR, simultaneous equations model). The Bayesian combined forecasts that used experts’ predictions as priors, with a shrinkage parameter tending to infinity, improved the accuracy of all predictions using individual models, outperforming also naïve forecasts and zero and equal weights forecasts. However, predictions based on Monte Carlo simulation outperformed all the scenarios in terms of the mean error and mean absolute error.  
EN
Transport is considered one of the basic aspects of the movement of people, raw materials as well as goods from the place of origin to the destination. Moreover, in the wider sense, transport includes economic bodies that aim to achieve goals similar to those of businesses that produce a wide range of goods required by customers. Hence, the efficient operations of basic branches of the transportation system determine the entire national economy. Furthermore, transport is considered a basic factor of development, both on the macro- and microeconomic scales. The aim of the paper is to attempt the assessment of the road transport in Poland as an important element of macro logistics. Furthermore, one of the aims of the investigation was the explanation of its influence on the level of economic development in Poland. As the source of information, the research used the data drawn from the Central Statistical Office of Poland. The main methods implemented in this study were both classic and order synthetic measure construction. Further, these measures were used in econometric models as well as for the prediction of their values. The main result of the analysis indicates that the development level of the widely considered infrastructure is strictly correlated with the socio-economic development of particular voivodships. The study on the level of road transport development can lead to a better understanding of the socio-economic development of particular areas of Poland as well as the more efficient use of the support funds.
EN
In our studies, we deal with the estimating of the optimal ranges of earnings – the optimal Gini indexes which are favourable to the maximisation of GDP growth in Poland. We suspect that the optimal Gini coefficients expressing the whole of society’s acceptance of earnings inequalities can increase. In the article, we formulated a hypothesis on society’s habituation to increasing earnings disparities. We verified the hypothesis on the basis of the model of economic growth using data from 1970 to 2007. We carried out econometric studies in two stages. In the first stage, we estimated the optimal Gini coefficients for short subsequent sub-periods. In the second stage, we studied the character of changes in the optimal Gini coefficients. In the studies, we proved the hypothesis on society’s habituation to increasing earnings disparities. The optimal Gini coefficients increase along with the increase of differences in earnings and the increase of the economic level per capita. The growth of the optimal Gini coefficients may be slowed down.
EN
Key factors influencing electricity consumption in the residential sector in Poland have been iden-tified. A fixed-effects model was used, which includes time effects, and a set of covariates, based on the model developed by Houthakker et al. This model estimates electricity demand by using lagged values of the dependent variable along with current and lagged values of electricity prices, and other variables that affect electricity demand such as: population, economic growth, income per capita, price of related goods, etc. The model has been identified according to the research results of the authors and those obtained by Bentzen and Engsted. The set of covariates was extended to the lagged electricity price given by a tariff (taken from two years previous to the time of interest) and heating degree days index, a very important factor in European Union countries, where the climate is temperate. The authors propose four models of residential electricity demand, for which a confidence interval of 95% has been assumed. Estimation was based on Polish quarterly data for the years 2003–2013.
PL
W artykule przedstawiliśmy analizę symulacyjną rozwoju gospodarki Polski w oparciu o kwartalny model ekonometryczny. Model ten składa się z 22 równań stochastycznych, które opisują związki rynku finansowego z sektorem realnym gospodarki. Celem badania jest zaprezentowanie wpływu zmian krajowych i zagranicznych stóp procentowych oraz kursu walutowego EUR/USD na wzrost gospodarczy w Polsce w okresie Q2, 1993-Q2, 2003.
EN
In this paper we present simulations of economic performance of the Polish economy based on a quarterly econometric model. The model consists of 22 stochastic equations which link the financial market with the real economy. The purpose of the research is to present effects o f changes to domestic and foreign interest rates and the EUR/USD exchange rate on economic growth in Poland over the period Q2, 1993 - Q2, 2003.
EN
The paper presents the results of research on the construction and evaluation of the forecast of the economic phenomenon in the future time period on the example of roundwood production in Poland. The process of building an econometric model as a linear function is illustrated in this paper. The trend function was verified and the convergence coefficient was calculated. The point and the interval forecast was constructed. On the basis of the results of studies the forecast accuracy was evaluated and a number of recommendations were presented. The recommendations regard the use of research results for decision-making and the needs of the material economy.
EN
Economic growth is mostly explained by investments and employment growth. Since the mid-1990s various social categories have been introduced into the economic growth analysis, such as trust, crime and income inequality, etc. According to sociology and psychology, it is the family that constitutes interpersonal relationships and is an indicator of happiness and quality of life. It can be said that happy people better fulfil their social roles and also work better. We put forward the hypothesis that family ties have an influence on economic growth. More precisely: the more divorces (relative to existing marriages) there are, the slower economic growth is. This hypothesis was confirmed in an analysis of Poland’s economy in the years 1995–2017. Due to the disintegration of family ties measured by the divorce rate, Poland’s annual economic growth was slowed by about a 1 percentage point on average. This estimation is based on the productivity (GDP to labor ratio) growth model which, along with the divorce rate, also includes the investment and new marriage rates.
EN
The paper analyses the impact of the banking sector on economic growth in Poland. The aim of the paper was to analyse if the banking sector has a significant effect on economic growth in the case of Poland. Hence, the following hypothesis was formulated: there is  a statistically significant relation between the development of the banking sector and economic growth in Poland. On the basis of the applied econometric methods, it has been possible to demonstrate that the banking sector?s development has an economically and statistically significant impact on economic growth in Poland.
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EN
The article discusses the relationship between effective labor supply-determined by factors that are linked either directly or indirectly with human capital-and sustained economic growth per capita. On the basis of an expanded Mincer wage equation, the author estimates effective labor supply, taking into account effects linked with human capital, and conducts an econometric analysis of changes in the average working time in Poland in 1970-2005. The author zeroes in on long-term relationships and checks the results of his analysis against a body of statistical data. The diagnostic tools used by the author include the Gauss-Markov theorem, a method for evaluating statistical errors developed by mathematicians Carl Friedrich Gauss and Andrey Markov. According to Florczak, standard labor supply analyses are often inaccurate because they overlook factors linked with working time, the quality of labor, and the overall social and demographic conditions. In an era of globalization, the author says, if it wants to maintain its international economic competitiveness, Poland should increase the role of “extensive” factors of production by boosting the economic activity of the population.
Przegląd Statystyczny
|
2012
|
vol. 59
|
issue 4
455-486
PL
Artykuł poświęcony jest opisowi makroekonomicznego modelu WF-CRIME, objaśniającego funkcjonowanie polskiego systemu egzekucji prawa. Model składa się z czterech bloków równań: (1) bloku generującego podaż przestępczości według podziału rodzajowego (przestępstwa z użyciem przemocy, przestępstwa przeciwko mieniu, przestępstwa prowadzenia pojazdów w stanie nietrzeźwości oraz pozostałe rodzaje przestępstw), (2) bloku opisującego funkcjonowanie sekcji bezpieczeństwa publicznego (3) bloku objaśniającego aktywność sądownictwa oraz (4) bloku równań sekcji więziennictwa. Wszystkie ogniwa systemu egzekucji prawa analizowane są w ramach związków jednoczesnych. Decyzje podejmowane na określonym szczeblu systemu wpływają na pozostałe ogniwa, zaś zastosowana metodyka badań umożliwia kwantyfikację kluczowych działań z zakresu polityki karnej i penitencjarnej. Strategia modelowania oparta jest na podejściu od ogółu do szczegółu (general to specific), bez przyjmowania a priorycznych założeń dotyczących relatywnego znaczenia poszczególnych czynników. Specyfikacje równań modelu wyrastają z ustaleń teoretycznych i międzynarodowych badań empirycznych. Zaprezentowany model wnosi szereg nowych rozwiązań do dorobku w dziedzinie systemowego modelowania mechanizmów egzekucji prawa, a w szczególności umożliwia kwantyfikowalną odpowiedź na różnorodne pytania z zakresu polityki karnej.
EN
The article describes the macroeconomic model WF-CRIME of the Polish law enforcement system. The model consists of four blocks: (1) crime supply by genre (violent crime, property crime, drunk driving and the others), (2) the public safety, (3) the justice, and (4) the penitentiary system. All chains of the law enforcement system are analyzed in their simultaneity. Decisions taken at one stage of the law enforcement system induce reactions of the others, whereas the methodology of the research enables identification of key actions in the field of penal policies. The modeling rests upon general to specific strategy, without any a priori assumptions .regarding relative importance of individual determinants of crime. Equations’ specification benefit from theoretical postulates as well as from numerous empirical investigations. The system contributes in many aspects to the state of knowledge in the domain of macroeconomic empirical modeling of crime and law enforcement systems.
PL
Cel: Zagadnienia związane z dzietnością społeczeństwa polskiego są przedmiotem toczącej się debaty publicznej. Demografowie przewidują, że w ciągu kilkunastu lat liczba mieszkańców naszego kraju będzie dramatycznie spadała. Aby zapobiec katastrofie demograficznej, rząd Beaty Szydło wprowadził program „Rodzina 500+”, którego istotą miała być poprawa liczby urodzeń w Polsce. Od momentu jego wprowadzenia pojawiały się głosy, które popierały działania ówczesnego rządu, jak też krytyczne z uwagi na możliwość negatywnych efektów na gospodarkę kraju. Dotychczasowa debata oraz badania nie odpowiadały na pytanie, czy nowe świadczenie w wysokości 500 PLN rzeczywiście powoduje wzrost liczby urodzeń. Materiały i metody badawcze: W artykule przedstawiono dwa modele ekonometryczne, przedstawiające możliwe czynniki wpływające na wartość urodzeń żywych. Dane użyte do badania pochodzą z Głównego Urzędu Statystycznego oraz Europejskiego Urzędu Statystycznego, a ich analizę wykonano dla okresu między I kwartałem 2010 r. a II kwartałem 2020 r. Wyniki: Przeprowadzone badania wykazały, że program „Rodzina 500 +” nie ma istotnego wpływu na liczbę urodzeń żywych w Polsce. Wnioski praktyczne: Badanie w formie stworzenia modeli ekonometrycznych może znaleźć zastosowanie podczas reformowania polityki publicznej w zakresie demografii. Wnioski i podsumowanie: Dotychczasowa analiza programu „Rodzina 500+” wykazała, że rozwiązanie wprowadzone przez rząd Beaty Szydło nie ma istotnego wpływu na poprawę sytuacji demograficznej społeczeństwa polskiego. Artykuł jest również sugestią dla polityków i demografów do przeprowadzenia reformy w tym zakresie.
EN
Background and Objective: Currently the subject of public debate in Poland are potential demographic problems. Researchers predict, that the population of Poland will begin to decline. Due to demographic forecast, Polish government introduced “The Family 500+” Program, aimed at improving the number of live births From the moment of its introduction, there were voices supporting the actions of the then government, as well as critical due to the possibility of negative effects on the country’s economy. The debate and research conducted so far have not answered the question whether the new benefit of PLN 500 actually increases the number of live births.Study Design/Materials and Methods: The article presents two econometric models presenting possible factors influencing the value of live births. The data used for the study come from the Central Statistical Office and the European Statistical Office, and their analysis was performed for the period between Q1 2010 and Q2 2020. Results: The conducted research has shown that the “Family 500+” program has no significant impact on the number of live births in Poland.Practical implications: Research in the form of creating econometric models can be used in reforming public policy in the field of demography. Conclusion and summary: The analysis of the “Family 500+” program to date has shown that the solution introduced by Beata Szydło’s government has no significant impact on improving the demographic situation of Polish society. The article is also a suggestion for politicians and demographers to carry out a reform in this area.
PL
W społeczeństwie i w gospodarce zachodzą ciągłe zmiany. Zmiany te powodują, że pojawiają się nowe, różne nurty naukowe, w tym ekonometryczne. Celem opracowania jest zwięzłe prześledzenie rozwoju badań ekonometrycznych, a szczególnie w zakresie dynamicznego modelowania ekonometrycznego oraz wskazanie najważniejszych kierunków badań oraz podejść do modelowania procesów ekonomicznych.
EN
In society and in the economy undergoing constant changes. These changes mean that there are new, different scientific areas, including econometrics. The aim of this paper is to trace the development of concise econometric studies, especially in the field of dynamic econometric modeling and an indication of the most important research directions and approaches to modeling of economic processes.
PL
Od ponad dekady rośnie w Polsce zainteresowanie spółdzielniami socjalnymi jako nowoczesnymi instrumentami polityki społecznej, przy czym dostrzegana jest ich nierównomierna liczebność w ujęciu regionalnym. W niniejszym artykule podjęto próbę stworzenia modelu ekonometrycznego opisującego zależność między wybranymi czynnikami o charakterze społeczno-ekonomicznym a liczbą spółdzielni socjalnych przypadających na 10 tys. podmiotów sektora prywatnego. Zastosowano w tym celu funkcję regresji. Szacowanie parametrów przeprowadzono stosując uogólnioną metodę najmniejszych kwadratów (UMNK). Badanie przeprowadzono dla najnowszych dostępnych danych, tj. za 2014 r., zagregowanych na poziomie 66 podregionów (NUTS-3). Wstępnie wyselekcjonowane zmienne objaśniające ograniczono do tych, które łącznie pozwalają na względnie duże dopasowanie modelu. Mimo to powstały w ten sposób model jedynie w 40 proc. wyjaśnia zmienność wariancji. W oparciu o ten model można wyciągnąć wniosek, że czynniki społeczno-gospodarcze mają niewielki wpływ na proces powstawania spółdzielni socjalnych.
EN
Social cooperatives have been a point of interest in Poland for more than a decade, however their uneven numbers by region is noticed. This paper shows the results of an attempt to create an econometric model describing the relationship between selected explanatory variables of social and economic aspect and the number of social cooperatives per 10 000 private sector entities as a dependent variable. A regression function was used for that purpose. Parameter estimation was performed using a generalized least-squares method. The study was conducted for the latest available data, ie. for 2014., aggregated on the level of 66 sub-regions (NUTS-3). Although, initially the explanatory variables were limited to those that enabled a large model fit, the final model is capable of explaining only in 40 percent the variability of variance. Basing on this model, it can be concluded that socio-economic factors have little effect on the process of formation of social cooperatives.
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EN
The sugar market in the EU is among the most regulated food markets in the world. This regulation is based on production quotas and foreign trade regulations. Individual links of the marketing chain are characterised by highly varied degree of concentration. Growers of sugar beets and consumers are very numerous and possibly have the weakest bargaining power. The highest degree of concentration is in the sugar industry, which is a classic oligopoly, because four producers manufacture a homogenous product. Thus differentiated structure, faced with strong market protection, creates potential conditions for monopolistic practices and obtaining the so-called monolithic margins. Sugar production and prices in Poland and in the EU are largely conditioned by the system of market regulations. The conducted sugar market reform had little effect on the interrelation of the EU prices with the world prices in the analysed period. As a result of the reform, the relations of the Polish or EU prices to the world prices dropped (this coincided with the growth in the world sugar prices) and, at the same time, there is no growth in the long- or short-terms relations. In 2004, the selling prices of sugar in Poland are linked to the EU prices and their level is not highly divergent from the average prices in the Community. These relations weakened slightly along with the end of the reform and the nature of long-term relations changed. Stronger interrelations are between retail and wholesale prices.
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