Working Papers

The WNE Working Papers series has been published by the Faculty of Economic Sciences at the University of Warsaw since 2008.

The WNE Working Papers series provides a fast, open channel for disseminating research conducted at the Faculty of Economic Sciences, University of Warsaw. The papers hosted here are working versions (pre-prints) and may evolve as authors refine their analyses, incorporate feedback, or progress through formal peer-review. What you read is the current version released by the authors, timestamped and assigned DOI/ISSN identifiers to ensure precise citation and version tracking. Copyright remains with the authors, who may, at any time, upload a revised file or add a note directing readers to a later, peer-reviewed publication.

The Working Papers series accepts articles by research employees of the Faculty and publications from conferences organised at the Faculty of Economic Sciences at the University of Warsaw. Articles should be original research papers which have not been previously published, on the subject of economics.

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Number of Results 5

WP(2/2025)465. Agriculture in interwar Poland: development in a turbulent time

Authors: Bukowski Maciej, Kowalski Michał, Marcin Wroński
We measure the value added in agriculture in Poland during the interwar period. Our calculation is based on the bottom-up methodology. We provide estimates on the national and regional levels. Cultivated area, yields and yields per hectare increased …

WP465. Agriculture in interwar Poland: development in a turbulent time

We measure the value added in agriculture in Poland during the interwar period. Our calculation is based on the bottom-up methodology. We provide estimates on the national and regional levels. Cultivated area, yields and yields per hectare increased during the investigated period. Significant regional convergence, both in the case of prices and value added occurred. In the years 1924 -38 value added increased by 5.35% annually, resulting 4.01% per capita growth rate. However, the yields per hectare grew less than in a majority of other European economies. While less developed eastern regions caught up with more economically advanced western Poland, the leading west lost compared to European peers. Therefore, our assessment of the development of agriculture in Poland in that period remains mixed.


DOI: https://doi.org/10.33138/2957-0506.2025.2.465
Bukowski Maciej, Kowalski Michał, Marcin Wroński
agriculture national income Poland Central and Eastern Europe economic growth regional convergence

WP(14/2020)320. Why wealth inequality differs between post-socialist countries?

Authors: Brzeziński Michał, Sałach Katarzyna
We provide the first attempt to understand how differences in households' socio-demographic and economic characteristics account for disparities in wealth inequality between five post-socialist countries of Central and Eastern Europe. We use 2013…

WP320. Why wealth inequality differs between post-socialist countries?

We provide the first attempt to understand how differences in households' socio-demographic and economic characteristics account for disparities in wealth inequality between five post-socialist countries of Central and Eastern Europe. We use 2013/2014 data from the second wave of the Household Finance and Consumption Survey (HFCS) and the reweighted Oaxaca-Blinder-like decompositions based on recentered influence function (RIF) regressions. Our results show that the differences in homeownership rates account for up to 42% of the difference in wealth inequality measured with the Gini index and for as much as 63-109% in case of the P50/P25 percentile ratio. Differences in homeownership rates are related to alternative designs of housing tax policies but could be also driven by other factors. We correct for the problem of the 'missing rich' in household surveys by calibrating the HFCS survey weights to top wealth shares adjusted using wealth data from national rich lists. Empirically, the correction procedure strengthens the importance of homeownership rates in accounting for cross-country wealth inequality differences, which suggests that our results are not sensitive to the significant underestimation of top wealth observations in the HFCS.


Brzeziński Michał, Sałach Katarzyna
wealth inequality decomposition recentered influence function (RIF) regressions survey weight calibration Household Finance and Consumption Survey (HFCS) post-socialist transition Central and Eastern Europe (CEE) housing homeownership missing rich

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

Authors: 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(28/2017)257. Income inequality and the Great Recession in Central and Eastern Europe

Authors: Brzeziński Michał
This paper uses the European Union Statistics on Income and Living Conditions (EU-SILC) data to study the changes in income inequality in Central and Eastern Europe during the Great Recession (2008-2012) and its determinants. Inequality changes are d…

WP257. Income inequality and the Great Recession in Central and Eastern Europe

This paper uses the European Union Statistics on Income and Living Conditions (EU-SILC) data to study the changes in income inequality in Central and Eastern Europe during the Great Recession (2008-2012) and its determinants. Inequality changes are decomposed using an Oaxaca-Blinder-like decomposition analysis based on the Recentered Influence Function (RIF) methodology, which allows to split the overall change in inequality into endowment effects associated with changes in the distribution of inequality covariates and coefficient effects, which are related to the changing returns to these covariates. Our results show that the Gini for disposable incomes has increased over 2008-2012 in a statistically significant way for Bulgaria, Estonia, Hungary and Slovenia. For most of the countries with significant inequality increases, falling full-time employment rate played the biggest role in explaining changes in inequality. It accounted for about 50-60% of the Gini change for disposable incomes and for about 60-80% of the Gini change for market incomes. The fall in full-time employment rate had a smaller inequality-increasing effect for disposable incomes in Hungary (about 15% of the Gini increase). Increased part-time employment during the recession had either no impact on inequality or was rather inequality-decreasing. We did not find evidence that changes in the incidence of temporary jobs had any impact on income inequality.


DOI: https://doi.org/10.26405/WP/WNE/2017/257/028
Brzeziński Michał
income inequality decomposition RIF regression Great Recession Central and Eastern Europe

WP(31/2013)116. Parametric modelling of income distribution in Central and Eastern Europe

Authors: Brzeziński Michał
This paper models income distribution in four Central and Eastern European (CEE) countries (the Czech Republic, Hungary, Poland and the Slovak Republic) in 1990s and 2000s using parametric models of income distribution. In particular, we use the gene…

WP116. Parametric modelling of income distribution in Central and Eastern Europe

This paper models income distribution in four Central and Eastern European (CEE) countries (the Czech Republic, Hungary, Poland and the Slovak Republic) in 1990s and 2000s using parametric models of income distribution. In particular, we use the generalized beta distribution of the second kind (GB2), which has been found in the previous literature to give an excellent fit to income distributions across time and countries. We have found that for Poland and Hungary, the GB2 model fits the data better than its nested alternatives (the Dagum and Singh-Maddala distributions). However, for Czech Republic and Slovak Republic the Dagum model is as good as the GB2 and may be preferred due to its simpler functional form. The paper also found that the tails of parametric income distribution in the Czech Republic, Poland and the Slovak Republic have become fatter in the course of transformation to market economy, which provides evidence for growing income bi-polarization in these societies. Statistical inference on changes in income inequality based on parametric Lorenz dominance suggests that, independently of inequality index used, income inequality in the Czech Republic, Poland and the Slovak Republic has increased during transformation. For Hungary, there is no Lorenz dominance and conclusions about the direction of changes in income inequality depend on the cardinal inequality measure used.


Brzeziński Michał
generalized beta of the second kind (GB2) distribution parametric modelling income distribution Lorenz dominance Central and Eastern Europe
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