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Wyszukujesz frazę "Panel data" wg kryterium: Wszystkie pola


Tytuł:
Health capital and regional development. A panel data approach
Autorzy:
Laskowska, Iwona
Powiązania:
https://bibliotekanauki.pl/articles/654811.pdf
Data publikacji:
2011
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Opis:
The recent studies of economic growth have shown increasing interest in the potential economic profits that improved health condition of populations could bring. The World Health Organization’s reports Macroeconomics and Health: Investing in Health for Economic Development of 2001 and The Contribution of Health to the Economy in the European Union of 2005 significantly contributed to the promotion of health as a factor of economic growth. Both of them suggest that investing in health as a vehicle of economic growth is necessary not only in countries at a low level of economic development, but also in the developed ones. This recommendation arises from the fact that education and health are one of the basic determinants of the quality of human capital. On a micro scale, health is treated as a prerequisite for personal development, enabling the achievement of a satisfactory economic status. In terms of the entire economy, the beneficial influence of good health can manifest itself thorough growing productivity of labour, lower costs of absenteeism caused by sick leaves, and limited costs of medical interventions that altogether may improve social well-being and reduce poverty. Variations in economic results caused by health inequalities can be analysed for the entire economy, a region or with respect to individuals. The presented investigation aimed to verify a hypothesis, according to which the health condition of the regional population can be one of the factors determining regional development. The investigation used a panel sample comprising particular voivodeships as they were between 1999 and 2008. Application of dynamic panel data models allowed identifying a relationship between different health indicators and GDP variations.
Źródło:
Acta Universitatis Lodziensis. Folia Oeconomica; 2011, 252
0208-6018
2353-7663
Pojawia się w:
Acta Universitatis Lodziensis. Folia Oeconomica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Bayesian Inference for State Space Model with Panel Data
Autorzy:
Pandey, Ranjita
Chaturvedi, Anoop
Powiązania:
https://bibliotekanauki.pl/articles/466044.pdf
Data publikacji:
2016
Wydawca:
Główny Urząd Statystyczny
Tematy:
Bayesian analysis
Gibbs sampler
conditional posterior densities
predictive distribution
Opis:
The present work explores panel data set-up in a Bayesian state space model. The conditional posterior densities of parameters are utilized to determine the marginal posterior densities using the Gibbs sampler. An efficient one step ahead predictive density mechanism is developed to further the state of art in prediction-based decision making.
Źródło:
Statistics in Transition new series; 2016, 17, 2; 211-220
1234-7655
Pojawia się w:
Statistics in Transition new series
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Determinants of tourism demand in Greece: a panel data approach
Autorzy:
Agiomirgianakis, George M.
Sfakianakis, George
Powiązania:
https://bibliotekanauki.pl/articles/425243.pdf
Data publikacji:
2014
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
tourism demand
panel data
macroeconometric approach
Opis:
This paper aims at investigating the determinants of tourism demand in Greece over eight years (2004-2011). Tourism is the main industry of Greece as its share in the Greek economy varies from 15% to 20% of GDP whether measured directly or indirectly respectively. We opted for a macroeconometric approach and, in particular, building on the existing literature we used panel data estimation techniques with disaggregated data on the country (or area) of origin combined with macroeconomic aggregates, indicators and (relative) price indices. The specific econometric techniques used take into account both the statistical properties of variables and the differences between the various cross sections. The main conclusion of the paper is that the macroeconometric panel data approach to explaining tourist receipts provides a rather satisfactory model fit, with explanatory variables explaining a significant part of the variability of the dependent variable. Our findings also suggest that certain policy directions identified by Greek governments (both in the present and past), such as enhancing competitiveness and the outward orientation of the economy, may indeed affect positively the prospects of the Greek tourism sector.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2014, 1(43); 15-26
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Some Applications of Panel Data Models in Small Area Estimation
Autorzy:
Nekrašaitė-Liegė, Vilma
Powiązania:
https://bibliotekanauki.pl/articles/465626.pdf
Data publikacji:
2011
Wydawca:
Główny Urząd Statystyczny
Tematy:
Small area estimation
panel-type data
model-based
model-assisted
Opis:
This study uses a real population from Statistics Lithuania to investigate the performance of different types of estimation strategies. The estimation strategy is a combination of sampling design and estimation design. The sampling designs include equal probability design (SRS) and unequal probability designs (stratified SRS and model-based sampling designs). Design-based direct Horvitz-Thompson, indirect model-assisted GREG estimator and indirect model-based estimator are used to estimate the totals in small area estimation. The underlying panel-type models (linear fixed-effects type or linear random-effects type) are examined in both stages of estimation strategies: sample design and construction of estimators.
Źródło:
Statistics in Transition new series; 2011, 12, 2; 265-280
1234-7655
Pojawia się w:
Statistics in Transition new series
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Determinants of corruption: a panel data analysis of Visegrad countries
Autorzy:
Linhartová, Veronika
Halásková, Martina
Powiązania:
https://bibliotekanauki.pl/articles/22443175.pdf
Data publikacji:
2022
Wydawca:
Instytut Badań Gospodarczych
Tematy:
corruption
control of corruption
determinants
panel data analysis
Visegrad countires
Opis:
Research background: Corruption is a phenomenon that has no borders, thus hindering the proper functioning of the social, economic, and legal systems of a given state. As the rankings assessing the level of corruption in various countries show, transition economies are more vulnerable to corruption than countries that have not undergone changes in the political and economic order. The Visegrad group is an example of such countries. Despite their efforts, these countries? governments have yet to match the evaluation of corruption indices for developed European countries. Purpose of the article: This study analyses the determinants of corruption in Visegrad countries to identify which determinants are the most impactful and thus should be the focus of Visegrad countries?governments when creating anti-corruption policies. Methods: Data for the period 1996?2019 from the databases of the World Bank, Transparency International, and the European Central Bank were used for panel data analysis. The study uses a comprehensive set of economic, socio-cultural, and political determinants that can influence corruption. The purpose of this large set of variables is to prevent possible distortion owing to omitted variables. Findings & value added: The results of the analysis of panel data show the main determinants of corruption in Visegrad countries are economic, political, and socio-cultural (phase of economic development, openness of the economy, size of the public sector, degree of urbanization, and women's share in the labour force). A significant effect was also demonstrated in the case of regulatory quality and public sector wages. The findings can serve as a valuable resource for policymakers to develop government policies in individual countries and to implement effective anti-corruption tools.
Źródło:
Equilibrium. Quarterly Journal of Economics and Economic Policy; 2022, 17, 1; 51-79
1689-765X
2353-3293
Pojawia się w:
Equilibrium. Quarterly Journal of Economics and Economic Policy
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
On prediction of domain total based on balanced panel data
Autorzy:
Żądło, Tomasz
Powiązania:
https://bibliotekanauki.pl/articles/658795.pdf
Data publikacji:
2010
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Opis:
W pracy rozważa się predyktory wartości globalnej wykorzystujące do predykcji warto- ści globalnej w pewnym (obecnym, przeszłym a nawet przyszłym) okresie dane z innych okresów. Model nadpopulacji jest szczególnym przypadkiem ogólnego liniowego modelu mieszanego – jest to model z specyficznymi dla elementów populacji składnikami losowymi możliwy do zastoso- wania dla danych wielookresowych. Postać predyktora typu BLU wyprowadzono w oparciu o twierdzenie Royalla (1976) – szeroko stosowane w literaturze podejście Hendersona (1950) nie jest możliwe do zastosowania dla rozważanego modelu nadpopulacji. W rozważanym przypadku wyprowadzono postać MSE w oparciu o twierdzenie Royalla i zaproponowano jego estymatory wykorzystując rezultaty uzyskane przez Żądło (2007). W przypadku estymacji MSE rozważano dwie metody estymacji wariancji składników losowych – metodę największej wiarygodności oraz metodę największej wiarygodności z ograniczeniami. W analizie symulacyjnej uwzględniono problem dokładności predyktora oraz obciążeń estymatorów MSE dla różnych rozkładów składników losowych.
Źródło:
Acta Universitatis Lodziensis. Folia Oeconomica; 2010, 235
0208-6018
2353-7663
Pojawia się w:
Acta Universitatis Lodziensis. Folia Oeconomica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
High-technology exports and economic growth: panel data analysis for selected OECD countriesHigh-technology exports and economic growth: panel data analysis for selected OECD countries
Autorzy:
Kabaklarli, Esra
Duran, Mahmut Sami
Üçler, Yasemin Telli
Powiązania:
https://bibliotekanauki.pl/articles/499412.pdf
Data publikacji:
2018
Wydawca:
Wyższa Szkoła Biznesu w Dąbrowie Górniczej
Tematy:
High technology export
GDP growth
FDI
Panel cointegration
Opis:
This paper uses a panel cointegration model to analyse the long-term relationship between high-technology exports and economic growth in selected OECD countries in the period from 1989 to 2015. We used high-technology exports (current US$) as the dependent variable and the GDP growth rate, FDI (foreign direct investment), application of patents by residents, and gross capital formation % of GDP as explanatory variables. The export structure of countries is moving increasingly towards technology-intensive products such as ICT (information and communications technology), aerospace, computing and office equipment, electronics, chemical products, pharmaceuticals, and electrical machinery. The export structure has played an important role in the economic growth theories of many countries since the 1960s, as export growth has been associated with faster productivity and GDP growth. We aimed to find out the relationship between high-technology exports and the explanatory variables which we listed for 14 selected OECD countries (Canada, Denmark, Finland, France, Germany, Israel, Korea, the Netherlands, Norway, Switzerland, Sweden, Turkey, the UK, and the USA). According to our empirical results, there is a long-term relationship between high-technology exports and economic growth in selected OECD countries. The empirical results show that an improvement in patent applications and foreign direct investment play a decisive role in upgrading selected OECD countries’ high-tech exports, while growth rate and investment play a negative role in enhancing these countries’ high-tech exports.
Źródło:
Forum Scientiae Oeconomia; 2018, Volume 6 (2018) Issue No. 2: Economic Growth, Innovations and Lobbying; 47-60
2300-5947
Pojawia się w:
Forum Scientiae Oeconomia
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
DETERMINANTS OF HUMAN CAPITAL DEVELOPMENT IN AFRICA: A PANEL DATA ANALYSIS
Autorzy:
Shuaibu, Mohammed
Oladayo, Popoola Timothy
Powiązania:
https://bibliotekanauki.pl/articles/488933.pdf
Data publikacji:
2016
Wydawca:
Instytut Badań Gospodarczych
Tematy:
human capital
Africa
health
education
panel data analysis
Opis:
Africa is regarded as the least developed continent in terms of overall development and specifically in terms of human capital development (HCD) efforts. Research on the determinants of HCD in Africa is scanty, as the literature is dominated by country-specific studies as well as group of country studies that primarily focus on the effect of human capital on growth and other economic development parameters. Therefore, this paper investigates the determinants of human capital development in 33 African countries over a 14-year period from 2000 to 2013. The empirical analysis is predicated on Sen’s capability approach that was modified following Binder and Georgiadis (2011) in order to explicitly account for the role of health, infrastructure and institutions as potential drivers of HCD. This is a departure from previous studies that focused primarily on the role of education. In addition to preliminary tests such as line plot, descriptive statistics and correlation analysis carried out, the data is analysed using panel unit root, co-integration and causality techniques. Findings show that all the variables are integrated of order one while HCD and its determinants have a stable long-run equilibrium relationship. Specifically, all the variables significantly influence HCD in the long run, whereas the contemporaneous models suggest that only institutions matter. Utilizing alternative estimators as well as estimation of subsamples, robustness tests reinforce our findings. Therefore, African governments may consider supporting HCD through sustained investment in the education and health sectors. At the same time, short-term gains may be attained through enhanced institutional quality and infrastructure development.
Źródło:
Oeconomia Copernicana; 2016, 7, 4; 523-549
2083-1277
Pojawia się w:
Oeconomia Copernicana
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
International Experience and Labour Market Success: Analysing Panel Data from Poland
Autorzy:
Tomescu-Dubrow, Irina
Powiązania:
https://bibliotekanauki.pl/articles/1810956.pdf
Data publikacji:
2015-09-30
Wydawca:
Polskie Towarzystwo Socjologiczne
Tematy:
international experience
human capital
economic capital
labour market success
Polish Panel
Survey (POLPAN)
Opis:
International experience, defined here as living abroad for two or more months, should enhance individual success on the labour market, ceteris paribus, thanks to the human capital and economic resources that accrue. I use the Polish Panel Survey POLPAN 1988–2008 to examine the impact of having spent at least two months in a foreign country on (a) relative income gains, and (b) the odds of moving into the social class that gained most from the post-communist transformation, employers. In part of the analysis I treat the data as cross-sectional and use OLS regression with lag variables and correction for intra-group correlation. Due to methodological specificity of repeated measurement, I also use panel regression analysis. For both manifestations of individual success, results strongly support the hypothesis of the positive impact of international experience. They also show that international experience is especially valuable for Poles who acquired basic business skills during state socialism.
Źródło:
Polish Sociological Review; 2015, 191, 3; 259-276
1231-1413
2657-4276
Pojawia się w:
Polish Sociological Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Spatial Pseudo Panel Data Models with an Application to Mincer Wage Equations
Autorzy:
Güris, Selahattin
Aydin, Gizem Kaya
Powiązania:
https://bibliotekanauki.pl/articles/2119918.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
spatial econometrics
pseudo panel data
Mincer wage equations
Opis:
The studies using Mincer equations are generally applied to cross-sectional data at the micro-level. There are however limited studies conducted with macro or panel data for wage equations. Pseudo panel data methods can be applied to empirical studies by creating cohorts from repeated cross-sectional data in the absence of genuine panel data. Difference in both the human and labour resources according to the spatial positions may also affect the prediction of the wage equations. We aim to introduce the application of spatial pseudo panel models by creating cohorts according to the birth years of employees and regions in which they live from the Turkish household labour survey for the period 2010– 2015. As a result, we find that the spatial autocorrelation model is appropriate for wage equations of Turkey. We also find that return of education on wages is 11% while return of experience on wages is 4%.
Źródło:
Central European Journal of Economic Modelling and Econometrics; 2022, 1; 37-56
2080-0886
2080-119X
Pojawia się w:
Central European Journal of Economic Modelling and Econometrics
Dostawca treści:
Biblioteka Nauki
Artykuł

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