W dzisiejszych czasach znalezienie pracownika wydaje się być zupełnie trywialne.
A kogoś kto lubi dyskryminować swoich pracowników? Wydaje się, że mało który pracodawca lubi być „niesprawiedliwy’’, a jednak o dysproporcjach płacowych pracowników wykonujących...
Earnings inequality displays very different time trends than household income inequality. New paper published on Social Indicators Research.
Od wielu lat jedną z najbardziej ulubionych koncepcji wielu ekonomistów, a zwłaszcza ekonomistów behawioralnych jest tzw. skłonność do ryzyka. Ta słabość jest zresztą całkiem...
Niektóre dzieci cieszą się na nowe wyzwania, niektóre rozpaczają w tęsknocie za utraconą wolnością, a rodzice… zastanawiają się jak sprawić, żeby ten (szkolny) rok okazał się...
February 28th will be marked as a very special date on GRAPE's calendar. It is on this date that, Magda Smyk and Lucas Van der Velde, two GRAPERS successfully defended their PhD's at the Faculty...
Płeć oraz atrakcyjność fizyczna nie mają znaczenia kiedy prosimy o drobną pomoc pracownków naukowych - wyniki najnowszego eksperymentu terenowego w projekcie GendEQU
Opublikowane | Published
Wage inequality and structural change (Przeczytaj streszczenie | Read abstract)
Income inequality in the context of large structural change has received a lot of attention in the literature, but most studies relied on household post-transfer inequality measures. This study utilizes a novel and fairly comprehensive collection of micro data sets from between 1980’s and 2010 for both advanced market economies and economies undergoing transition from central planning to market based system. We show that wage inequality was initially lower in transition economies and immediately upon the change of the economic system surpassed the levels observed in advanced economies. We find a very weak link between structural change and wages in both advanced and post-transition economies, despite the predictions from skill-biased technological change literature. The decomposition of changes in wage inequality into a part attributable to changes in characteristics (mainly education) and a part attributable to changes in rewards does not yield any leading factors.
This paper uses a large collection of individual level data, described in detail in the paper. We acquired over 1600 individual level data for 44 countries over three decades. Contact us if you would want to utilize this vast collection of data.
Talent workers as entrepreneurs: a new approach to aspirational self-employment (Przeczytaj streszczenie | Read abstract)
What is necessary to make entrepreneurship sector successful? It seems like two key factors in this matter are quantity of financial capital and quality of human capital. So far, studies on innovative firms were rather focused on spending on resources, and not on qualification of people who are entering entrepreneurship sector. Using concept of so-called talent workers (Hsieh et al. 2013) we check who is entering self-employment in Poland. Our question is whether people who enter self-employment are more likely to create successful businesses. The analysis is based on the labor force survey panel data for Poland for over a decade between 2001 and 2013. We found that talent workers were more likely to become self-employed in this period. Results are robust on two possibly confounding effects – within sector mobility and productivity of workers before entering self-employment.
Author gender affects the rating of academic articles: Evidence from an incentivized, deception-free laboratory experiment (Przeczytaj streszczenie | Read abstract)
Even though women׳s position in academia has changed dramatically over the last few decades, there is still some evidence that when it comes to evaluation of scientific achievements, gender may play a significant role. Gender bias is particularly likely to take the form of statistical discrimination. In this study we sought to verify the hypothesis that researcher׳s gender affects evaluation of his or her work, especially in a field where women only represent a minority. Towards this end we asked a sample of subjects, mostly economics majors, to evaluate a paper written by mixed-gender couples, indicating that it was (co-)authored by a “female economist”, “male economist”, “young female economist” or “young male economist” or giving no information about the author at all. While age factor played no role, female authors appeared to be seen as less competent than males, in that subjects (being incentivized to give their best judgment) less often believed that their papers have been published. This effect did not interact strongly with the gender of the subject.
Age-productivity patterns in talent occupations for men and women: a decomposition (Przeczytaj streszczenie | Read abstract)
One could expect that in the so-called talent occupations, while access to these professions may differ between men and women, the gender wage gap should actually be smaller owing to the high relevance of human capital quality. Wage regressions typically suggest an inverted U-shaped age–productivity pattern. However, such analyses confuse age, cohort and year effects. Deaton decomposition allows us to disentangle these effects. We apply this method to investigate the age–productivity pattern for the so-called ‘talent’ occupations. Using data from a transition economy (Poland) we find that talent occupations indeed have a steeper age–productivity pattern. However, gender differences are larger for talent occupations than for general occupations.
W toku | Work in progress
Gender occupational segregation: the role of parents (Przeczytaj streszczenie | Read abstract)
Gender occupational segregation is one of the most stable phenomena of the labor market. In this study we employ PSID dataset to test whether the fact that women have different professions than men can be, at least partially, explained by their parents occupational history. We find that fathers profession, both first one and the one observed by the son correlate positively with gender intensity of son's occupation. Mother's first occupation is associated with daughter's, but the one that it is performed by mother during daughter's growing up is insignificant. While father's profession is negatively correlated with gender intensity of daughter's profession, mother's occupation does not matter for son's career.
Gender beliefs and planned occupation: high school pupils and their parents (Przeczytaj streszczenie | Read abstract)
Psychology and sociology literature suggests that the fact that women are less likely to work in STEM occupations may be caused by gender stereotypes related to differences in math and science abilities. In this study we test whether, particularly parents' beliefs are associated with their children's gender beliefs and with their choices of occupation. We show that the correlation between parents' and children's beliefs is strong. We use High School Longitudinal Study data - survey conducted among US 9th graders, their parents and teachers. Finally, we also test to what extend gender beliefs (parents' and own) correlate with planning to work in STEM fields by highschool pupils. We find that girls are discouraged (and boys encouraged) by parents believing that boys are better in math and science, and that the effect of parent's beliefs are stronger than the effect of pupils' school achievements in math and science.
Pushed into necessity? Labor market inequality and entrepreneurship of disadvantaged group (Przeczytaj streszczenie | Read abstract)
Theoretical literature on entrepreneurship hints that labor market inequality may constitute a relevant push factor for necessity self-employment, as opposed to aspirational self-employment. Drawing on empirical confirmation, this insight is used in many policy recommendations. We provide a new approach to test and quantify the link between labor market inequality and self-employment. We exploit rich and diverse international data on patterns of self-employment from the Global Entrepreneurship Monitor. We focus on measures of labor market inequality for women, utilizing estimates of adjusted gender wage and gender employment gap, comparable for a large selection of countries and years. Our results show that greater gender disparities in access to and in compensation for wage employment are associated with necessity self-employment, but the effect is small. We find no link for the aspirational self-employment.
Gender, beauty and support networks in academia: evidence from a field experiment (Przeczytaj streszczenie | Read abstract)
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.
We propose to use covariate balancing propensity score by Imai and Ratković (2014) to obtain matching weights for balancing the online samples of Wage Indicator Project to nationally representative samples. We balance the Wage Indicator data on individual characteristics such as age, gender and education. We provide balancing weights for 17 countries, sometimes for alternative representative samples.