Working Papers

Seria wydawnicza WNE WORKING PAPERS prowadzona jest przez WNE UW od 2008 r. i jak dotąd opublikowano w niej ponad 400 prac.

Seria WNE Working Papers służy szybkiemu upowszechnianiu wyników badań prowadzonych na Wydziale Nauk Ekonomicznych UW. Publikowane tu teksty mają charakter wersji roboczych (pre-printów): mogą być uzupełniane lub poprawiane w miarę postępu prac nad tekstem i procesu wydawniczego. Prezentujemy aktualną wersję udostępnioną przez autorów, opatrzoną datą oraz identyfikatorami DOI/ISSN – co ułatwia jej cytowanie i śledzenie kolejnych iteracji. Każdy dokument zachowuje pełne prawa autorskie swoich twórców, a w przypadku późniejszych zmian, autorzy mogą w dowolnym momencie zamieścić zaktualizowany plik lub wskazać miejsce ostatecznego wydania.

Do serii WORKING PAPERS przyjmowane są artykuły pracowników naukowych WNE UW oraz publikacje z konferencji organizowanych na WNE UW. Artykuły powinny dotyczyć ekonomii, mieć charakter oryginalnych prac badawczych, nie być wcześniej publikowane. Przyjmowane są wyłącznie teksty w języku angielskim.

Prace prosimy przesyłać e-mailem na adres: |ma-vc=8e'{o$wN46.USZT%HREJ]#[t]Ts`R|&Gsabt4F}v7KKc6f=[23

Prosimy przesyłać dwa pliki:

(1) główny tekst bez podania tytułu artykułu oraz autorów (plik DOC/DOCX) oraz

(2) stronę tytułową zawierającą: tytuł opracowania, autorów oraz ich afiliację (plik DOC/DOCX). 

Przed przesłaniem tekstu prosimy zapoznać się z szczegółowymi wymogami edycyjnymi.

Redaktorem wydawniczym serii Working Papers jest dr Maciej Bukowski.

Ilość wyników 3

WP(18/2019)303. Reevaluating distributional consequences of the transition to market economy in Poland: new results from combined household survey and tax return data

Autorzy: Brzeziński Michał, Myck Michał, Najsztub Mateusz
We use Pareto imputation, survey reweighting, and microsimulation methods applied to combined household survey and tax return data to reevaluate distributional consequences of the post-socialist transition in Poland. Our approach results in the first…

WP303. Reevaluating distributional consequences of the transition to market economy in Poland: new results from combined household survey and tax return data

We use Pareto imputation, survey reweighting, and microsimulation methods applied to combined household survey and tax return data to reevaluate distributional consequences of the post-socialist transition in Poland. Our approach results in the first estimates of top-corrected inequality trends for real equivalized disposable incomes over the years 1994-2015. We find that the top-corrected Gini coefficient grew by 14-26% more compared to the unadjusted survey-based estimates. This implies that over the last three decades Poland has become one of the most unequal European countries among those for which top-corrected inequality estimates exist. The highest-income earners benefited the most during the post-socialist transformation: the annual rate of in-come growth for the top 5% of the population exceeded 3.5%, while the median income grew by about 2.5%.


Brzeziński Michał, Myck Michał, Najsztub Mateusz
income inequality Gini index top income shares tax record survey data Pareto distribution Poland

WP(9/2019)294. Wealth inequality in Central and Eastern Europe: evidence from joined household survey and rich lists’ data

Autorzy: Brzeziński Michał, Sałach Katarzyna, Wroński Marcin
We study how the problem of the 'missing rich', the underrepresentation of the wealthiest in household surveys, affects wealth inequality estimates for the post-socialist countries of Central and Eastern Europe (CEE). The survey data from the…

WP294. Wealth inequality in Central and Eastern Europe: evidence from joined household survey and rich lists’ data

We study how the problem of the 'missing rich', the underrepresentation of the wealthiest in household surveys, affects wealth inequality estimates for the post-socialist countries of Central and Eastern Europe (CEE). The survey data from the second wave of the Household Finance and Consumption Survey (HFCS) are joined with the data from the national rich lists for Esto-nia, Hungary, Latvia, Poland and Slovakia. Pareto distribution is fitted to the joined survey and rich lists' data to impute the missing observations for the largest wealth values. We provide the first estimates of the top-corrected wealth inequality for the CEE region in 2013/2014. Despite a short period of wealth accumulation during the post-1989 market economy period, our adjust-ment procedure reveals that wealth inequality in the Baltic countries is comparable to that of Germany (one of the most wealth unequal countries in Europe), while in Poland and Hungary it has reached levels observed in France or Spain. We discuss possible explanations of these find-ings with reference to the speed and range of privatization processes, extent of income inequali-ty, and the role of inheritances and wealth taxes in the region.


Brzeziński Michał, Sałach Katarzyna, Wroński Marcin
wealth inequality missing rich Pareto distribution rich lists Forbes Household Finance and Consumption Survey transition countries Central and Eastern Europe

WP(32/2013)117. Robust estimation of the Pareto index: A Monte Carlo Analysis

Autorzy: Brzeziński Michał
The Pareto distribution is often used in many areas of economics to model the right tail of heavy-tailed distributions. However, the standard method of estimating the shape parameter (the Pareto index) of this distribution the maximum likelihood esti…

WP117. Robust estimation of the Pareto index: A Monte Carlo Analysis

The Pareto distribution is often used in many areas of economics to model the right tail of heavy-tailed distributions. However, the standard method of estimating the shape parameter (the Pareto index) of this distribution the maximum likelihood estimator (MLE) is non-robust, in the sense that it is very sensitive to extreme observations, data contamination or model deviation. In recent years, a number of robust estimators for the Pareto index have been proposed, which correct the deficiency of the MLE. However, little is known about the performance of these estimators in small-sample setting, which often occurs in practice. This paper investigates the small-sample properties of the most popular robust estimators for the Pareto index, including the optimal B-robust estimator (OBRE) (Victoria-Feser and Ronchetti, 1994, The Canadian Journal of Statistics 22: 247-258), the weighted maximum likelihood estimator (WMLE) (Dupuis and Victoria-Feser, 2006, Canadian Journal of Statistics 34: 639-658), the generalized median estimator (GME) (Brazauskas and Serfling, 2001a, Extremes 3, 231-249), the partial density component estimator (PDCE) (Vandewalle et al., 2007, Computational Statistics & Data Analysis 51: 6252-6268), and the probability integral transform statistic estimator (PITSE) (Finkelstein et al., 2006, North American Actuarial Journal 10, 1-10). Monte Carlo simulations show that the PITSE offers the desired compromise between ease of use and power to protect against outliers in the small-sample setting. 


Brzeziński Michał
Pareto distribution Pareto index power-law distribution robust estimation Monte Carlo simulation small-sample performance
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