hdrazkowski

Hubert
Drążkowski

Hubert joined us to work on EARHART team. He has obtained a Master's degree at faculty of Mathematics and Information Science in mathematical statistics and data science. More bio on https://www.linkedin.com/in/hubert-dr%C4%85%C5%BCkowski/





Opublikowane | Published

  • Gender board diversity across Europe throughout four decades | Nature Scientific Data

    We present a Gender Board Diversity Dataset (GBDD), which provides a cross-country perspective on women in management and supervisory boards that spans between 1985 and 2020. The data covers 43 European countries and accounts for private companies in addition to the stock-listed ones. GBBD was created using firm-level Orbis data. Our measures are based on a sample of more than 28 million unique firms observed for nearly seven years on average and reporting data about nearly 59 million individuals on management and supervisory boards. We provide the measures at the level of industry, country and year (the firm-level data is proprietary). We provide three measures. The first is the share of women among all board members in a given industry, country, and year. The second one is the average of the shares of women across firms in a given industry, country and year. We also provide a new measure: the share of firms in a given industry, country and year which report no single woman on their board(s).

    Hubert
    Drążkowski
    Joanna
    Tyrowicz
    Sebastian
    Zalas
  • The evolution of labor share in Poland. New evidence from firm-level data | Gospodarka Narodowa

    The only accessible source of financial firm-level in Poland data is database prepared by Central Statistical Office (CSO), available for only minor group of economists. Our study aim at providing to wider audience Orbis database, providing information about substantial part of Polish firms. With this data we present the evolution of labor share of value added in Poland, together with labor productivity and wages. We compare our estimates with indicators prepared by Growiec (2009) and national accounts data. We find that different data source produce differing levels of indicators, however its shapes remain similar. Furthermore we show how construct database using Orbis data and how to improve its coverage using imputation methods.

    Sebastian
    Zalas
    Hubert
    Drążkowski