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 4

WP(13/2020)319. Dealing with uncertainties of green supplier selection: a fuzzy approach

Authors: Manucharyan Hayk
Increasing public awareness of environmental protection has caused the emergence of green supply chain management in recent years. As firms tend to outsource a significant part of their activities, the importance of supplier selection increases from …

WP319. Dealing with uncertainties of green supplier selection: a fuzzy approach

Increasing public awareness of environmental protection has caused the emergence of green supply chain management in recent years. As firms tend to outsource a significant part of their activities, the importance of supplier selection increases from a competitive standpoint. While most studies of supplier selection have introduced methods based on economic criteria, the number of studies that incorporate environmental issues is rather limited. In this paper, a methodology is proposed to address the green supplier evaluation and selection issue by first identifying the appropriate criteria and then developing a model for their measurement in the evaluation process. The authors apply fuzzy set theory to deal with the subjectivity of supplier selection decision-making and capture the linguistic terms used for human assessments. A rule-based fuzzy inference system is developed to evaluate suppliers based on ten environmental criteria and eventually select the best-performing supplier. The dynamic nature of the model allows the decision-makers to manipulate the importance of different supplier attributes and constructed rules, based on individual preferences. An illustrative example is also presented to show the applicability and effectiveness of the proposed methodology.


Manucharyan Hayk
supplier evaluation supplier selection supply chain economics uncertainty fuzzy logic fuzzy inference system

WP(3/2013)88. Variance estimation for richness measures

Authors: Brzeziński Michał
Richness indices are distributional statistics used to measure the incomes, earnings, or wealth of the rich. This paper uses a linearization method to derive the sampling variances for recently introduced distributionally-sensitive richness measures …

WP88. Variance estimation for richness measures

Richness indices are distributional statistics used to measure the incomes, earnings, or wealth of the rich. This paper uses a linearization method to derive the sampling variances for recently introduced distributionally-sensitive richness measures when estimated from survey data. The results are derived for two cases: (1) when the richness line is known, and (2) when it has to be estimated from the sample. The proposed approach enables easy consideration of the effects of a complex sampling design. Monte Carlo results suggest that the proposed approach allows for reliable inference in case of "concave" richness indices, but that it is not satisfactory in case of "convex"" richness measures.


Brzeziński Michał
richness affluence distributional indices variance estimation statistical inference

WP(2/2013)87. Accounting for trends in health poverty: A decomposition analysis for Britain, 1991-2008

Authors: Brzeziński Michał
We use data from the British Household Panel Survey to analyse changes in poverty of self-reported health from 1991 to 2008. Recently introduced ordinal counterparts of the classical Foster, Greer, Thorbecke (1984) (FGT) poverty measures are used to …

WP87. Accounting for trends in health poverty: A decomposition analysis for Britain, 1991-2008

We use data from the British Household Panel Survey to analyse changes in poverty of self-reported health from 1991 to 2008. Recently introduced ordinal counterparts of the classical Foster, Greer, Thorbecke (1984) (FGT) poverty measures are used to decompose changes in self-reported health poverty over time into within-group health poverty changes and population shifts between groups. We also provide statistical inference for these ordinal FGT indices. Results suggest that the health poverty rate increased independently of health poverty threshold chosen. In case of other ordinal FGT indices, which are sensitive to depth and distribution of health poverty, results depend on the health poverty threshold. The subgroup decompositions of changes in total health poverty in Britain suggest that the most important poverty-increasing factors include a rise of both health poverty and population shares of persons cohabiting and couples with no children as well as an increase of the population of retired persons.


Brzeziński Michał
health poverty ordinal FGT measures self-reported health statistical inference British Household Panel Survey

WP(1/2013)86. Asymptotic and bootstrap inference for top income shares

Authors: Brzeziński Michał
We analyse statistical inference for top income shares in finite samples. The asymptotic inference performs poorly even in large samples. The standard bootstrap tests give some improvement, but can be unreliable. Semi-parametric bootstrap approach is…

WP86. Asymptotic and bootstrap inference for top income shares

We analyse statistical inference for top income shares in finite samples. The asymptotic inference performs poorly even in large samples. The standard bootstrap tests give some improvement, but can be unreliable. Semi-parametric bootstrap approach is accurate in moderate and larger samples.


Brzeziński Michał
top income shares income distribution inference bootstrap semi-parametric bootstrap
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