Cette thèse porte sur l’étude des inégalités dans un cadre macroéconomique, d’un point de vue théorique ainsi qu’empirique. Dans un premier chapitre, j’écris et simule un modèle basé-agents capable de répliquer les distributions fat-tailed des richesses observées empiriquement dans les économies développées. Dans un second chapitre, je prolonge ce modèle théorique pour étudier l’impact économique des discriminations interpersonnelles et institutionnelles. Lorsque les discriminations institutionnelles cessent, l’état final des inégalités dépend de l’économie au moment de la fin de ces discriminations : plus l’économie est organisée, plus le temps nécessaire à une égalisation des revenus et richesses entre ethnies est long, voire infini. Dans un troisième chapitre empirique, j’étudie l’évolution des inégalités de salaire entre Noirs et Blancs aux États-Unis entre 1960 et 2015, en me concentrant sur la période 2000-2015. Je traite les biais de sélection liés à l’asymétrie raciale envers l’emprisonnement, et montre que l’écart - en conditionnant par l'âge et les diplômes - entre salaires médians des Noirs et des Blancs atteint un maximum en 2012. En utilisant la méthode de régression quantiles non-conditionnelles conjointement avec la décomposition de Blinder-Oaxaca, j’établis que la part non-expliquée de cet écart reste stable durant la Grande Récession. Enfin, dans une post-face, en utilisant les métadonnées de RePEC, j’établis que la part des articles scientifiques consacrés à l’étude des crises augmente significativement après 2008 pour 13 des 30 « top journals » en économie. / This PhD dissertation focuses on wealth and wage inequality, and the macro-economy. In a first chapter, I write and run a small macro agent-based model (M-ABM) in which I study the resultant distribution of wealth among households. I show that this model generates fat- tailed distributions of wealth in the household sector, as empirically observed in advanced economies. In a second chapter, I extend this model to study the macroeconomics of interpersonal and institutional discriminations against racial minorities. When discrimination is at work, racial disparities in income and wealth arise. The effect of the abolition of institutional discrimination is path-dependant: the more the economy is organized when this institutional change occurs, the more time it takes to get back to the counter-factual situation where no institutional discrimination was set up in the first place. In a third chapter, I study the evolution of the difference of median log-annual earnings between Blacks and Whites in the US between 1960 and 2015, focusing on the 2008 crisis. I control for selection arising from racial differentials in institutionalised population, and find that the unconditional racial wage gap attains a maximum in 2012. Controlling for age and education, I obtain the same result. Using unconditional quantile regressions, I show that the unexplained part of the unconditional racial wage gap has not increased during the crisis. Finally, in an afterword, I use metadata from RePEC to show that the share of economics papers published in the 13 of the 30 "top" journals containing "crisis" in their titles and/or abstracts has significantly increased in 2008.

The existence of substantial socio-economic inequalities is one of the most fundamental features of the Brazilian society. Although educational inequality is not the only source of such socio-economic inequalities, it plays a major role, particularly regarding income inequality, both for current and for future generations. Acquiring a better understanding of the patterns of educational inequalities in Brazil is thus a relevant research topic, with implications for policy-making. The first part of the thesis contains a conceptual discussion in which we try to determine an appropriate definition of educational justice. We advocate the use of “essential educational achievements” as the relevant “currency of educational justice” and we defend a version of “equality of educational opportunity” in which the responsibility that is assigned to individuals increases as they grow up. While a remarkable quantitative improvement has taken place recently in Brazil, the situation concerning the quality of education is less clear. To explore qualitative aspects, in the second part, we turn to pupils' performance in standardized tests. Applying usual distributional assessment tools to such data, we map the intensity of educational inequalities in the country. Using recently-developed indices of inequality of opportunity, we assess the fairness of the Brazilian schooling system. Thus we identify both the areas where educational inequality is more intense, and those where educational unfairness is more severe. In the third part, we use econometric methods to investigate how the reallocation of educational resources could contribute to moving Brazilian educational system towards educational fairness. First, we evaluate the effect of teachers' wages on pupils' achievement, and our analysis suggests there is scope for Brazilian public schools to improve their human resources policies, with potential benefits accruing to low-performing pupils. Then, we analyze the reallocations of educational resources required to equalize educational opportunities, and we find that the redistribution of non-monetary inputs could considerably reduce the magnitude of the financial redistribution needed.

In order to combat global warming and climate change issues and facilitate economic prosperity in the same time, it is important to understand the possible tradeoffs between economic growth and environmental degradation. In this thesis, we evaluate the hypothesis of an N-shaped environmental Kuznets curve (EKC). Using panel data analysis, we investigate the relationship between CO2 emissions, GDP per capita, renewable energy consumption, technological development, trade, and institutional quality for 74 countries over the period of 1994 to 2012. We find (i) evidence for the Nshaped EKC when using pooled OLS regressions for all income groups but upper-middleincome countries; (ii) heterogeneous results regarding the N-shaped EKC across income groups and quantiles when using quantile regressions; and (iii) a clear and consistent negative relationship between renewable energy and CO2 emissions, indicating the importance of promoting greener energy to combat climate change. / För att bekämpa klimatförändringar och samtidigt möjliggöra ekonomiskt välstånd är det viktigt att förstå de möjliga avvägningarna mellan ekonomisk tillväxt och miljöförstöring. I denna uppsats utvärderar vi hypotesen om en N-formad miljökuznetskurva (EKC). Med hjälp av paneldataanalys undersöker vi förhållandet mellan koldioxidutsläpp, BNP per capita, förnybar energi, teknologisk utveckling, internationell handel och institutionell kvalitet för 74 länder under perioden 1994 till 2012. Vi finner (i) bevis för en N-formad EKC för alla inkomstgrupper förutom övre medelinkomstländer när poolad OLS används som skattningsmetod; (ii) heterogena resultat gällande en N-formad EKC, både mellan och inom de olika inkomstgrupperna, när vi använder oss av kvantilregressioner; och (iii) ett tydligt och konsekvent negativt förhållande mellan förnybar energi och koldioxidutsläpp, vilket pekar på vikten av att främja grönare energi för att kunna bekämpa klimatförändringar.

In the first chapter of this thesis, we investigate the impact of human capital and wage structure on the gender pay in a panel of European countries using a newly available and appropriate database for cross-country comparisons and a comparable methodology for each country. <p><p>Our first question is :What role do certain individual characteristics and choices of working men and women play in shaping the cross-country differences in the gender pay gap? What is the exact size of the gender pay gap using the “more appropriate” database available for our purpose? Giving that there are mainly only two harmonized data-sets for comparing gender pay gap throughout Europe: the European Community Household Panel (ECHP) and the European Structure of Earning Survey (ESES). Each database having its shortages: the main weakness of the ECHP is the lack of perfect reliability of the data in general and of wages in particular. However the main advantage of this database is the panel-data dimension and the information on both households and individuals. The data of the ESES is, on the contrary, of a very high standard but it only covers the private sector and has a cross-sectional dimension. Furthermore only few countries are currently available :Denmark, Belgium, Spain, Ireland and Italy. <p>We use the European Structure of Earning Survey (ESES) to analyse international differences in gender pay gaps in the private sector based on a sample of five European economies: Belgium, Denmark, Ireland, Italy and Spain. Using different methods, we examine how wage structures, differences in the distribution of measured characteristics and occupational segregation contribute to and explain the pattern of international differences. Furthermore, we take account of the fact that indirect discrimination may influence female occupational distributions. We find these latter factors to have a significant impact on gender wage differentials. However, the magnitude of their effect varies across countries.<p><p>In the second chapter, we analyse the persistence of the gender pay differentials over time in Europe and better test the productivity hypothesis by taking into account unobserved heterogeneity. <p><p>Our second question is :What is the evolution of the pay differential between men and women over a period of time in Europe? And what is the impact of unobserved heterogeneity? <p>The researcher here provides evidence on the effects of unobserved individual heterogeneity on estimated gender pay differentials. Using the European Community Household Panel (ECHP), we present a cross-country comparison of the evolution of unadjusted and adjusted gender pay gaps using both cross-section and panel-data estimation techniques. The analysed countries differ greatly with respect to labour market legislation, bargaining practices structure of earnings and female employment rates. On adjusting for unobserved heterogeneity, we find a narrowed male-female pay differential, as well as significantly different rates of return on individual characteristics. In particularly, the adjusted wage differential decreases by 7 per cent in Belgium, 14 per cent in Ireland, between 20-30 per cent Germany, Italy, the Netherlands and Spain and of 41 per cent and 54 per cent in the UK and in Denmark respectively. <p><p>In the third chapter, we investigate causes of the gender pay gap beyond the gender differences in observed and unobserved productive characteristics or simply the sex. Explanations of the gender pay gap may be the penalty women face for having children. Obviously, the motherhood wage penalty is relevant to larger issues of gender inequality given that most women are mothers and that childrearing remains a women’s affair. Thus, any penalty associated with motherhood but not with fatherhood affects many women and as such contributes to gender inequalities as the gender pay gap. Furthermore, the motherhood wage effect may be different along the wage distribution as women with different earnings may not be equal in recognising opportunities to reconcile their mother’s and earner’s role. This brings us to our third question. <p><p>Our third question is :What is the wage effect for mothers of young children in the household? And does it vary along the wage distribution of women?<p>This chapter provides more insight into the effect of the presence of young children on women’s wages. We use individual data from the ECHP (1996-2001) and both a generalised linear model (GLM) and quantile regression (QR) techniques to estimate the wage penalty/bonus associated with the presence of children under the age of sixteen for mothers in ten EU Member States. We also correct for potential selection bias using the Heckman (1979) correction term in the GLM (at the mean) and a selectivity correction term in the quantile regressions. To distinguish between mothers according to their age at the time of their first birth, wage estimations are carried out, separately, for mothers who had their first child before the age of 25 (‘young mothers’) and mothers who had their first child after the age of 25 (‘old mothers’). Our results suggest that on average young mothers earn less than non-mothers while old mothers obtain a gross wage bonus in all countries. These wage differentials are mainly due to differences in human capital, occupational segregation and, to a lesser extent, sectoral segregation between mothers and non-mothers. This overall impact of labour market segregation, suggests a “crowding” explanation of the family pay gap – pay differential between mothers and non-mothers. Nevertheless, the fact that we still find significant family pay gaps in some countries after we control for all variables of our model suggests that we cannot reject the “taste-based” explanation of the family gap in these countries. Our analysis of the impact of family policies on the family pay gap across countries has shown that parental leave and childcare policies tend to decrease the pay differential between non-mothers and mothers. Cash and tax benefits, on the contrary, tend to widen this pay differential. Sample selection also affects the level of the mother pay gap at the mean and throughout the wage distribution in most countries. Furthermore, we find that in most countries inter-quantile differences in pay between mothers and non-mothers are mainly due to differences in human-capital. Differences in their occupational and sectoral segregation further shape these wage differentials along the wage distribution in the UK, Germany and Portugal in our sample of young mothers and in Spain in the sample of old mothers.<p><p>In the fourth chapter, we analyse the combined effect of motherhood and the family status on women’s wage.<p> <p>Our fourth question is :Is there a lone motherhood pay gap in Europe? And does it vary along the wage distribution of mothers?<p>Substantial research has been devoted to the analysis of poverty and income gaps between households of different types. The effects of family status on wages have been studied to a lesser extent. In this chapter, we present a selectivity corrected quantile regression model for the lone motherhood pay gap – the differential in hourly wage between lone mothers and those with partners. We used harmonized data from the European Community Household Panel and present results for a panel of European countries. We found evidence of lone motherhood penalties and bonuses. In our analysis, most countries presented higher wage disparities at the top of the wage distribution rather than at the bottom or at the mean. Our results suggest that cross-country differences in the lone motherhood pay gap are mainly due to differences in observed and unobserved characteristics between partnered mothers and lone mothers, differences in sample selection and presence of young children in the household. We also investigated other explanations for these differences such as the availability and level of childcare arrangements, the provision of gender-balanced leave and the level of child benefits and tax incentives. As expected, we have found significant positive relationship between the pay gap between lone and partnered mothers and the childcare, take-up and cash and tax benefits policies. Therefore improving these family policies would reduce the raw pay gap observed. <p> / Doctorat en Sciences économiques et de gestion / info:eu-repo/semantics/nonPublished