Czy losy pracowników po zwolnieniu z pracy są takie same w różnych krajach? Sprawdza Sebastian Zalas GRAPE | Tłoczone z danych dla...
Sebastian
Zalas
PhD student in economics at University of Warsaw.
-
-
Wiesz, co jesz? Czy ostrzeżenie na etykiecie o składzie produktu poprawi naszą dietę? Sprawdza Sebastian Zalas GRAPE | Tłoczone z danych dla...
-
Czy przedsiębiorcy chętnie dzielą się zyskami z pracownikami? Udział płac w firmach bierze pod lupę Sebastian Zalas GRAPE | Tłoczone z danych dla...
-
Jak się rodzą innowacje? Sprawdza Sebastian Zalas GRAPE | Tłoczone z danych.
-
Udział płac w wartości dodanej w Polsce nie spada. Od dekady utrzymuje się na niemal niezmienionym poziomie i wynosi 57% – wynika z najnowszego badania Sebastiana Zalasa i...
-
Sebastian Zalas był gościem programu "Istota Rzeczy" Jarosława Szczepańskiego w...
-
-
Badanie potomków przesiedleńców dostarcza odpowiedzi. GRAPE | Tłoczone z danych dla DGP...
-
Invited by Michał Krawczyk, we gave a talk today to the PhD students of QPE PhD program at the University of Warsaw.
-
We are very happy to announce a new team member for our empirical research on inequality: Sebastian Zalas has joined the HEUquality team.
Opublikowane | Published
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).
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.
W toku | Work in progress
-
Revisiting gender board diversity and firm performance Przeczytaj streszczenie | Read abstract
We study the effects of gender board diversity on firm performance. We use novel and rich firm-level data covering over 400 thousand private and public firms spanning the years 1995-2020 in Europe. We augment a standard TFP estimation with firm fixed effects to explore the role of gender board diversity. We construct a shift-share instrument for gender board diversity and find that increasing the share of women on boards is conducive to better economic performance. The results prove robust to a variety of sensitivity analysis. This outcome is driven primarily by firms from the service sector and by smaller firms. The impact was stronger during the early years of our sample.
Ekonometria - Semestr zimowy 2024/25
Kontakt: s.zalas@uw.edu.pl
Konsulatcje: po umówieniu mailowym (online lub osobiście)
Materiały z wykładu: link
Ocena końcowa:
- Kartkówki (5) - 20%. Termin najbliższej kartkówki: 13/11/2024
- Kolokwium - 40%
- Praca zaliczeniowa - 40%
Materiały:
- Powtórzenie: slajdy zadania z algebry zadania z rachunku rozwiązania
- Regresja Liniowa: slajdy zadania rozwiązania
Laboratoria:
Projekt: