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National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
International gender wage gap: A Meta-analysis
 Navarová, Tereza ; Havránek, Tomáš (advisor) ; Pertold-Gebicka, Barbara (referee)
This thesis uses modern meta-analysis methods to produce a systematic quantitative review of the literature on the international gender wage gap. After collecting 661 estimates from 51 peer-reviewed studies, estimates from published studies are subjected to several tests studying the presence of publication bias. To test for publication bias, standard errors of estimates are approximated for studies that do not report standard errors or other confidence measures. Based on both linear and non-linear formal tests, the presence of significant publication bias is not detected. Furthermore, Bayesian model averaging is performed to explain the heterogeneity in the collected data, with robust control performed using frequentist model averaging. The results suggest that omitting variables related to human capital leads to the estimation of higher average gender wage differences. In contrast, authors who focus subsamples of the labour market (such as college graduates or only fulltime workers) estimate on average smaller gender wage differences. 1
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Crowdfunding: What makes a project desirable?
 Navarová, Tereza ; Chytilová, Julie (advisor) ; Pavlíček, Jaroslav (referee)
Crowdfunding has become a popular option for financing new projects and businesses. The study explores the factors that influence the project's success from the creator's point of view. The analysis of a cross-sectional dataset from one of the most famous czech reward-based crowdfunding platforms HitHit is used to confirm or reject the hypotheses of existing studies from the global scale for the case of the Czech Republic. First, a logistic regression is applied to estimate the effects of the individual factors on the probability of a project being successfully funded. Secondly, the OLS regression is introduced to estimate the effects on the overall percentage of funding of a project in place of the binary variable in the logit model. We find a significant positive relationship between the success and the following factors: a video presence, a creator's location within a large city, a shorter campaign duration, a number of rewards and updates during the campaign, and projects falling into the category education. Several suggestions on future research are presented. 1
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