Jan Kubacki

Jan Kubacki
Polish Public Statistics · Statistical Office in Lodz

PhD

About

38
Publications
1,551
Reads
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48
Citations
Additional affiliations
June 2006 - present
Polish Public Statistics
Position
  • chief specialist
Description
  • In Polish Public Statisitics from early'90.First-in IT Deprartment of Statisitical Office in Łódź.From 2001 till 2006 in Central Statistical Computing Centre.From 2006 in Statistical Office in Łódź.More at https://pl.linkedin.com/in/jan-kubacki-8b845a20
June 2001 - May 2006
Polish Public Statistics
Position
  • senior specialist
Description
  • During my work at Central Statistical Computing Centre I was involved in some projects for Polish Public Statistics (including TERYT). I was also responsible for support and maintenance of local area network and servers in Lodz branch of CSCC.
April 1998 - June 2003
Polish Public Statistics
Position
  • Chief Specialist
Description
  • My responsibilites here was related to research and development of software for the Polish Public Statistics information systems, coordination tasks related to operating systems management and organisation of work in LAN
Education
October 1995 - February 2009
Warsaw School of Economics
Field of study
  • Social Statistics
October 1983 - September 1988
Lodz University of Technology
Field of study
  • Technical Physics

Publications

Publications (38)
Article
The main aim of the paper is a statistical analysis of changes in household income distribution at the regional level in Poland taking into account the impact of government spending on social assistance. Various linear models (incorporating relations for spline functions) and the vector autoregression models (VAR) were used in the research. The lin...
Article
Full-text available
The paper presents the comparison of estimation results for spatial and spatiotemporal small area models. The study was carried out for income-related variables drawn from the Polish Household Budget Survey and explanatory variables from the Polish Local Data Bank for the years 2003-2013. The properties of EBLUPs (Empirical Best Linear Unbiased Pre...
Presentation
In the presentation the comparison of estimation results for spatial and spatio-temporal small area model is presented. The analysis was conducted for income-related variables coming from the Polish Household Budget Survey and explanatory variables coming from the Polish Local Data Bank. The properties of EBLUPs (Empirical Best Linear Unbiased Pred...
Presentation
W prezentacji przedstawiono –korzystając z przykładów dotyczących nauczania statystyki w Polsce i na świecie – implikacje dotyczące zwiększonego popytu na interpretacje relacji wynikających z danych statystycznych wyznaczonych z użyciem modeli, również dla danych w dużej skali. Implikacje te dotyczą zarówno zwiększonego popytu na specjalistów Data...
Article
Full-text available
The growing demand for high-quality statistical data for small areas coming from both the public and private sector makes it necessary to develop appropriate estimation methods. The techniques based on small area models that combine time series and cross-sectional data allow for efficient "borrowing strength" from the entire population and they can...
Conference Paper
Reducing poverty and income inequality have been taken to be the primary indicators of economic development in place of emphasis on economic growth. Recently, the role of income inequality of a region as a contributing factor to poverty has been recognised by many authors. Analysing the spatial context of poverty and income inequality is becoming i...
Article
The paper presents the analysis of the distribution of available income, including available income per person based on the Household Budget Survey for the years 2003-2011 using the Dagum distribution. The distributions of these variables were obtained using the package VGAM for R-project environment and individual data. Also the quality of estimat...
Presentation
In the presentation, the EBLUP estimation based on bivariate Rao-Yu model, involving both- autocorrelated random effects between areas and sampling errors is considered. It was applied to the expenditures data coming from Polish HBS as well as the explanatory variables from Local Data Bank. The efficiency of this approach involves the degree of cor...
Article
Full-text available
Modelling and estimating relationships that combine time series and crosssectional data is often discussed in the statistical literature but in these considerations sampling errors are seldom taken into account. In the paper the application of the Rao-Yu model involving both- autocorrelated random effects between areas and sampling errors-has been...
Presentation
Due to growing demand for high-quality statistical data for small areas coming from both the public and private sector, it becomes necessary to develop appropriate estimation methods. The techniques based on small area models that combine time series and cross-sectional data allow for efficient "borrowing strength" from the entire population and th...
Article
Full-text available
The paper presents the method of hierarchical Bayes (HB) estimation under small area models with spatially correlated random effects and a spatial structure implied by the Simultaneous Autoregressive (SAR) process. The idea was to improve the spatial EBLUP by incorporating the HB approach into the estimation algorithm. The computation procedure app...
Article
The author presents a method of hierarchical bayesian estimation to estimate the value of the different income variables on the basis of studies of household budgets and POLTAX tax register. Calculations have been made for the case where approximately known a priori evaluation of hyperparameters used to construct a conditional probability, which is...
Conference Paper
In the presentation the method of small area estimation under spatial Simultaneous Autoregressive (SAR) model is presented. The estimation was conducted using both spatial EBLUP and hierarchical Bayes method with SAR random effects that depend on proximity matrix and spatial autoregression coefficient (ρ). The presentation continues the idea of sma...
Article
The authors presented estimation of parameters for rare characteristics as well as methods of the sample selection to the rare and hardly perceptible populations, which may provide an alternative or complement to research aimed at the common characteristics. The basic sampling schemes for rare characteristics, including the inverse sampling, captur...
Article
High income inequality can be a source of serious socio-economic problems, such as increasing poverty, social stratification and polarization. Periods of pronounced economic growth or recession may impact different groups of earners differently. Growth may not be shared equally and economic crises may further widen gaps between the wealthiest and p...
Article
In the paper the method of parameters estimation using hierarchical Bayes (HB) method in the case of known model hyperparameters for a priori conditionals was presented. This approach has some advantage in comparison with subjective model parameters selection because of more simulation stability and allows obtaining estimates that has more regular...
Article
Sampling variance or relative variance of a survey estimator can be related to its expected value by a mathematical relationship called generalized variance function (GVF). In the paper, the results of precision estimation using Generalized Variance Function for various income variables from Polish Household Budget Survey for counties (NUTS4) are p...
Article
The Agricultural Census conducted in Poland in 2010 was partially based on administrative sources. These data collection will be supplemented by sample survey of agricultural farm. This research is aimed at creation of an effective typology of Polish farms, which is necessary for proper sampling and reflection of many special types of agricultural...
Conference Paper
In the paper authors present some empirical results for the Gini coefficient estimation on the basis of the Polish Household Budget Survey obtained for regions. The direct estimation was conducted using Ineq package for R-project environment. The precision was estimated using the bootstrap technique. The small area models for the Gini coefficient w...
Conference Paper
In order to counteract problems of poverty it is essential to carry out analysis at sub-national level. Some of recently proposed methods apply Small Area Estimation techniques which enable to estimate poverty measures for regions using data from surveys like EU-SILC. The purpose of this paper is to present some empirical results of estimation at N...
Article
In the paper the results of small area estimation using empirical best linear unbiased predictor (EBLUP) for the data coming from Polish Household Budget Survey are presented. The results were obtained using some models of household expenditures obtained for regions. Estimation of sampling errors was conducted by balanced repeated replication (BRR)...
Conference Paper
In the article the results for small area estimation using empirical best linear unbiased predictor (EBLUP) for data from Polish Household Budget Survey are presented. These results are obtained using some models of household income obtained for regions. Estimation of sample errors was conducted by balanced repeated replication technique. EBLUP est...
Article
The author presents a synthetic overview of recent efforts related to the small area estimation methods applied to the Polish Labor Force Survey (PLFS). The review concerns methodology and results obtained by Central Statistical Office connected with PLFS and National Census and some results obtained by the author of this paper. In the paper author...
Article
The author presents a synthetic overview of recent efforts related to the small area estimation methods applied to the Polish Labour Force Survey (PLFS). The review concerns methodology and results obtained by Central Statistical Office connected with PLFS and National Census and some results obtained by the author of this paper. In the paper autho...
Article
The author presents the application of hierarchical Bayes methods to the estimates of unemployment size for small areas applied to the Polish Labour Force Survey (PLFS). Constructed model includes the data obtained from published results of PLFS for regions in Poland and 2002 Census data. Also second model using PLFS data for counties in łódzkie re...
Conference Paper
W pracy zawarto porównanie kilku metod bayesowskich użytych do szacowania bezrobocia w skali lokalnej. Jako miary efektywności modelu bayesowskiego użyto relacji pomiędzy wariancją dla szacunków z modelu wykorzystującego estymację empiryczną bayesowską oraz wariancją dla szacunków wykorzystującą techniki "standardowe" (tj. estymację z warstwowaniem...
Conference Paper
Selected small area statistics method of unemployment estimation was presented. These methods was used for determination the size of the unemployment at the county level for łódzkie voivodship. The analysis concerns Polish Labour Force Survey and was carried out in 1996 for three Local Labour Offices (Łódź, Pabianice and Zgierz) in former łódzkie v...
Article
A proposal using some of the estimation techniques employed in small area statistics was presented. These methods (including post-stratification estimators, synthetic estimators and generalised regression estimators) was used in determining the size of unemployment at the Local Labour Office (LLO) for one of the voivodship in Poland (łódzkie voivod...
Conference Paper
A proposal using some of the estimation techniques employed in small area statistics was presented. These methods (including post-stratification estimators, synthetic estimators and generalized regression estimators) was used in determining the size of unemployment at the Local Labor Office (LLO) for the łódzkie voivodship. Using administrative dat...
Article
W pracy rozważa się możliwości oceny rozmiarów ubóstwa dla małych obszarów w Polsce (np. powiatów) przy wykorzystaniu wyników Spisu Powszechnego 2001, dostępnych rejestrów administracyjnych oraz reprezentacyjnych badań gospodarstw domowych. Przedstawiona zostanie także metodologia oceny rozmiarów ubóstwa podjęta w Stanach Zjednoczonych dla małych o...
Article
The author presents a proposal using some of the estimation techniques employed in small area statistics. These techniques are helpful to determinig the size of local unemployment. In this proposal author suggest to use both data from Polish Labour Force Survey and administrative data of unemployment. Comparative study between direct methods of est...
Article
The author attempts to make the polish readers familiar with the most important methods used in small area statistics. The need of preparing such a review is caused by the growing demand from the users of statistical informational system for the reliable and available on the small scale data. In article following techniques is presented: demographi...
Article
Steady-state photoconductivity measurements carried out for poly((E,E)-[6.2]-paracyclophane-1,5-diene) pure and sensitized with tetracyanoethylene show that doping causes a significant increase of the photoconductivity. This is due to an increase of both the hole mobility and the photogeneration efficiency. The shape of the spectral characteristic...
Article
Poly((E,E)-[6.2]paracyclophane-1,5-diene) (PDE) is a new polymer with a specific structure leading to cofacial alignment of bridged aromatic rings pendant to the polymer backbone. Donor-type PDE forms a charge-transfer (CT) complex with an acceptor dopant, TCNE. This dopant acts as the sensitizing agent, increasing considerably the photogeneration...
Conference Paper
Poly((E,E)-[6.2]paracyclophane-1,5-diene) (PDE) is a new polymer with a specific structure leading to cofacial alignment of bridged aromatic rings pendant to the polymer backbone. Donor-type PDE forms a charge-transfer (CT) complex with an acceptor dopant, TCNE. This dopant acts as the sensitizing agent, increasing considerably the photogeneration...