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.

Please send your paper by e-mail: -UVT'YOXp?5ACcHQnZ\yf|ak0Kr]#[!EI@lH3IR+u03z@@TcRqobFa98_ 

Please send 2 files:

(1) the main text without the title of the article and the authors (DOC/DOCX file) and

(2) the title page including: the title of the paper, the authors and their affiliation (DOC/DOCX file).

Please read the detailed editing requirements before submitting your text. 

Number of Results 2

WP(6/2023)413. Modelling Subjective Attractiveness

Authors: Lewszyk Konrad, Wójcik Piotr
Attractive people obtain greater economic and reproductive success. This article attempts to grasp individual preferences of facial attractiveness and create reliable models that will accurately predict a beauty score on a binary and quintary scale. …

WP413. Modelling Subjective Attractiveness

Attractive people obtain greater economic and reproductive success. This article attempts to grasp individual preferences of facial attractiveness and create reliable models that will accurately predict a beauty score on a binary and quintary scale. Based on extensive research conducted on factors of attractiveness, we derive the most important facial features that have the highest impact in beauty perception. Based on a sample of 681 images of faces using facial a landmark detector. We derive various numerical features represented by face characteristics and. The application of various machine learning algorithms shows that attractiveness can be predicted accurately based on facial characteristics. In addition, we show that indeed the attractiveness is subjective as the same features have different importance for different subjects.


Lewszyk Konrad, Wójcik Piotr
Attractiveness beauty-premium image processing machine learning predictive models

WP(43/2015)191. Gender, beauty and support networks in academia: evidence from a field experiment

Authors: Smyk Magdalena, Krawczyk Michał
Bibliometric studies show that male academics are more productive than their female counterparts and that the gap cannot be explained in terms of difference in abilities. In this project we wish to verify the hypothesis that this tendency is related …

WP191. Gender, beauty and support networks in academia: evidence from a field experiment

Bibliometric studies show that male academics are more productive than their female counterparts and that the gap cannot be explained in terms of difference in abilities. In this project we wish to verify the hypothesis that this tendency is related to the greater support that men receive from their colleagues (“old boys network”). Towards this end we had e-mails sent by a male or female student asking academics for a minor favour. In Study 1 we asked authors of nearly 300 papers in experimental economics to share the raw data used in their study. We observed no difference in response rate or compliance rate between male and female senders. In Study 2 we sent 2775 e-mails to academics affiliated with prestigious schools from ten different fields , asking to either send us a copy of their recent article or meet the sender supposedly interested in pursuing a PhD program. Once again we manipulated gender of the senders but this time we also varied their physical attractiveness. We found a small but significant difference in the Article Treatment: attractive females’ requests were honoured less often. No such tendency was found in the Meeting Treatment and no general gender effect was observed. Overall, we find very little support for the claim that early-stage male researchers enjoy greater support than their female colleagues.


Smyk Magdalena, Krawczyk Michał
gender beauty women in academia field experiment
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