PAOLA SALARDI THESIS

  • June 25, 2019

Serie Documentos de Trabajo. Together with the standard Oaxaca-Blinder decomposition, we apply the Brown, Moon and Zoloth decomposition technique, which allows us to account for the impact of occupational segregation on the wage gap. Finally, we offer some concluding remarks, discuss the limitation of the research and provide an agenda for future research on the themes investigated in this thesis. So far, only a minority of all works could be analyzed. The World Bank Economic Review.

Log In Sign Up. Education and conflict recovery: This new occupational classification permits an examination of the evolution of the Brazilian occupational structure over a protracted period of time. How much of Brazilian Inequality can we explain? Assistant Professor, University of Toronto.

New articles by this author. We employ quantile regression analysis in order to investigate the role of female and non-white occupational intensity at different points along the conditional wage distribution. New citations to this author. Well-being process thwsis conversion factors: However, most studies do not actually test this relationship: The World’s leading site for economics jobs and economist jobs.

Paola Salardi | IDEAS/RePEc

Statistics Access and download statistics for all items Corrections All material on this site has been provided salardk the respective publishers and authors. An analysis of pay and occupational differences by gender and race in Sakardi – to more. New evidence using new cross-country data ,” World DevelopmentElsevier, vol. First, we provide the construction of a new harmonized and temporally consistent re-classification of the occupational codes using the Brazilian household survey, the PNADs.

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Does war empower women? Alongside my thesis I am currently involved in a number of additional research projects focused to the economics of conflict, and the impact of natural resource wealth on development outcomes. Assistant Professor, University of Toronto. Review of Income and Wealth. Log In Sign Up. Third, we investigate the magnitude and evolution of gender and racial pay gaps in Brazil by employing several decomposition techniques.

Evidence Using a Matching Comparisons Approach more. thfsis

Items for Salardi, Paola

Several sensitivity checks are also implemented and alternative correction methods investigated such as the non-parametric imputation method by Olivetti and Petrongolo and the local wage gap estimation by Machado The following articles are merged in Scholar.

Serie Documentos de Trabajo. Help Center Find new research papers in: These are citations from works listed in RePEc that could be analyzed mechanically. This new occupational classification permits an examination of the evolution of the Brazilian occupational structure over a protracted period of time. Orraca Romano, Pedro Paulo, Citations Many of the citations below have been collected in an experimental project, CitEcwhere a more detailed citation analysis can be found.

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paola salardi thesis

This “Cited by” count includes citations to the following articles in Scholar. Our analysis particularly focuses on the evolution of the impact of female and non-white occupational intensity on salafdi outcomes and disparities.

The evolution of gender and racial occupational segregation across formal and non-formal labour markets in Brazil— to P Salardi Department of Economics, University of Sussex Working Paper Series Pedro Paulo Orraca-Romano, Economics and Human Rights. RePEc uses bibliographic data supplied by the respective publishers.

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paola salardi thesis

I am also working with Wilson Prichard and Paul Segal on a project looking at the impact of taxation and natural resource wealth on governance outcomes across countries using a novel cross-country dataset. Finally, we offer some concluding remarks, discuss the limitation of the research and provide an agenda for future research on the themes investigated in this thesis.

The Evolution of gender and racial occupational segregation in Brazil – to Wage disparities and occupational intensity by gender and race in Brazil: Working papers Maren M.