yes / This note highlights the value of using UQR for addressing the limitations inherent within previous methods involving conditional parameter distributions for spending analysis (QR and OLS). Using unique data and robust analysis using improved methods, our paper clearly demonstrates the over-importance attached to length of stay and the inadequate attention given to business travelers in previous research. There are clear benefits from UQR’s methodological robustness for assessing the multitude of variables related to tourist expenditures, particularly given UQR’s ability to inform across the spending distribution. Given tourism’s importance for the UK it is critical for expensive promotional activities to be targeted efficiently for ensuring effective policy making.

Yes / We employ unconditional quantile regression with region of origin fixed effects, whereby we find that attending live football matches significantly increases expenditures by inbound tourist in the UK, and surprisingly we find that such effects are strongest for those who overall spend the least. Higher spending individuals spend significantly more than those who do not attend football matches, even when such individuals are otherwise similar. We analyse the impact of football attendance across the tourism expenditure distribution which is a relatively neglected aspect within previous research.

Yes / The inbound tourist expenditure generating role of football (soccer), particularly the English Premier League 15 (EPL) is evaluated. An enhanced economic and management understanding of the role of regular sporting fixtures emerges, as well as quantification of their impact. Expenditure on football tickets is isolated to identify local economic spillovers outside the stadium walls. Using the UK International Passenger Survey, unconditional quantile regressions (UQR) is used to evaluate the distributional impact of football attendance on tourist expenditures. Both total expenditure and a new measure which adjusts expenditures for football ticket prices are considered. UQR is a novel technique which is as yet underexploited within sport economics and confers important methodological advantages over both OLS and quantile regressions. Significant cross quantile variation is found. High spending football fans spend more, even after ticket prices are excluded. Surprisingly, spending effects owing to attendance are strongest for those who overall spend the least, confirming the role of sport as a generator of tourist expenditure unlike most others. Though the attendance effect is smaller for higher aggregate spenders, there is nevertheless a significant impact across the distribution. Distributional expenditure impacts highlight clear differentials between attendance by high and low spenders. Similar analysis is applicable to other global brands such as the National Football League (NFL) in the United States (American football) and the Indian Premier (cricket) League. The EPL’s global popularity can be leveraged for achieving enhanced tourist expenditure.

Yes / Using International Passenger Survey (2017) data, this paper employs unconditional quantile regression (UQR) to analyse the determinants of tourist expenditure amongst inbound tourists to the United Kingdom. UQR allows us to estimate heterogeneous effects at any quantile of the distribution of the dependent variable. It overcomes the econometric limitations of ordinary least squares and quantile regression based estimates typically used to investigate tourism expenditures. However, our results reveal that the effects of our explanatory variables change across the distribution of tourist expenditure. This has important implications for those tasked with devising policies to enhance the UK’s tourist flows and expenditures.

O Brasil é um dos países mais violentos do mundo, e essa realidade se reflete no ambiente escolar. O problema da violência na escola induz nos agentes de educação comportamentos que se contrapõem às metas de melhoria da qualidade do ensino. Por isso, a violência na escola é um dos candidatos a determinante da baixa qualidade educacional encontrada no Brasil. Este trabalho investiga se existe relação entre violência na escola e proficiência dos alunos no Brasil nos anos de 2003, 2005, 2007, 2009, 2011 e 2013. Os resultados das regressões lineares e das regressões quantílicas incondicionais indicam que a ocorrência de um tipo de evento violento adicional está associada a uma redução na proficiência. Eles indicam também que há heterogeneidade na resposta dos alunos à violência na escola: a violência na escola parece afetar mais os alunos da quarta série, os alunos que se encontram na mediana da distribuição das notas e os alunos com melhor condição socioeconômica. Além disso, a violência na escola parece afetar mais a proficiência em Matemática em comparação com a proficiência em Língua Portuguesa, e a violência contra o professor tem efeitos tão ou mais deletérios que a violência entre os alunos. / Brazil is one of the most violent countries in the world, and this reality is part of the school environment. The problem of school violence hinders any possible progress in improving the quality of education. Indeed, school violence is a key element in explaining the low educational quality in Brazil. This research investigates the relationship between school violence and student achievement in Brazil in the years of 2003, 2005, 2007, 2009, 2011 and 2013. The results of linear regressions and unconditional quantile regressions analysis show that an occurrence of an additional kind of violent event is associated with a reduction on student achievement. They also show that there is a high degree of heterogeneity in student responses to school violence: the school violence seems to affect more 4th graders, the students that are in the median of the distribution of the grades and the students with the best socioeconomic conditions. Moreover, school violence seems to affect more grades in Math than Portuguese, and the violence against teachers has effects as or more deleterious than the violence between students.

O Brasil é um dos países mais violentos do mundo, e essa realidade se reflete no ambiente escolar. O problema da violência na escola induz nos agentes de educação comportamentos que se contrapõem às metas de melhoria da qualidade do ensino. Por isso, a violência na escola é um dos candidatos a determinante da baixa qualidade educacional encontrada no Brasil. Este trabalho investiga se existe relação entre violência na escola e proficiência dos alunos no Brasil nos anos de 2003, 2005, 2007, 2009, 2011 e 2013. Os resultados das regressões lineares e das regressões quantílicas incondicionais indicam que a ocorrência de um tipo de evento violento adicional está associada a uma redução na proficiência. Eles indicam também que há heterogeneidade na resposta dos alunos à violência na escola: a violência na escola parece afetar mais os alunos da quarta série, os alunos que se encontram na mediana da distribuição das notas e os alunos com melhor condição socioeconômica. Além disso, a violência na escola parece afetar mais a proficiência em Matemática em comparação com a proficiência em Língua Portuguesa, e a violência contra o professor tem efeitos tão ou mais deletérios que a violência entre os alunos. / Brazil is one of the most violent countries in the world, and this reality is part of the school environment. The problem of school violence hinders any possible progress in improving the quality of education. Indeed, school violence is a key element in explaining the low educational quality in Brazil. This research investigates the relationship between school violence and student achievement in Brazil in the years of 2003, 2005, 2007, 2009, 2011 and 2013. The results of linear regressions and unconditional quantile regressions analysis show that an occurrence of an additional kind of violent event is associated with a reduction on student achievement. They also show that there is a high degree of heterogeneity in student responses to school violence: the school violence seems to affect more 4th graders, the students that are in the median of the distribution of the grades and the students with the best socioeconomic conditions. Moreover, school violence seems to affect more grades in Math than Portuguese, and the violence against teachers has effects as or more deleterious than the violence between students.

O Brasil é um dos países mais violentos do mundo, e essa realidade se reflete no ambiente escolar. O problema da violência na escola induz nos agentes de educação comportamentos que se contrapõem às metas de melhoria da qualidade do ensino. Por isso, a violência na escola é um dos candidatos a determinante da baixa qualidade educacional encontrada no Brasil. Este trabalho investiga se existe relação entre violência na escola e proficiência dos alunos no Brasil nos anos de 2003, 2005, 2007, 2009, 2011 e 2013. Os resultados das regressões lineares e das regressões quantílicas incondicionais indicam que a ocorrência de um tipo de evento violento adicional está associada a uma redução na proficiência. Eles indicam também que há heterogeneidade na resposta dos alunos à violência na escola: a violência na escola parece afetar mais os alunos da quarta série, os alunos que se encontram na mediana da distribuição das notas e os alunos com melhor condição socioeconômica. Além disso, a violência na escola parece afetar mais a proficiência em Matemática em comparação com a proficiência em Língua Portuguesa, e a violência contra o professor tem efeitos tão ou mais deletérios que a violência entre os alunos. / Brazil is one of the most violent countries in the world, and this reality is part of the school environment. The problem of school violence hinders any possible progress in improving the quality of education. Indeed, school violence is a key element in explaining the low educational quality in Brazil. This research investigates the relationship between school violence and student achievement in Brazil in the years of 2003, 2005, 2007, 2009, 2011 and 2013. The results of linear regressions and unconditional quantile regressions analysis show that an occurrence of an additional kind of violent event is associated with a reduction on student achievement. They also show that there is a high degree of heterogeneity in student responses to school violence: the school violence seems to affect more 4th graders, the students that are in the median of the distribution of the grades and the students with the best socioeconomic conditions. Moreover, school violence seems to affect more grades in Math than Portuguese, and the violence against teachers has effects as or more deleterious than the violence between students.

My dissertation consists of three essays in three different areas: international trade; agricultural markets; and nonparametric econometrics. The first and third essays are theoretical papers, while the second essay is empirical. In the first essay, I developed a political economy model of trade agreements where the set of policy instruments are endogenously determined, providing a rationale for countervailing duties (CVDs). Trade-related policy intervention is assumed to be largely shaped in response to rent seeking demand as is often shown empirically. Consequently, the uncertain circumstance during the lifetime of a trade agreement involves both economic and rent seeking conditions. The latter approximates the actual trade policy decisions more closely than the externality hypothesis and thus provides scope for empirical testing. The second essay tests whether normal mixture (NM) generalized autoregressive conditional heteroscedasticity (GARCH) models adequately capture the relevant properties of agricultural commodity prices. Volatility series were constructed for ten agricultural commodity weekly cash prices. NM-GARCH models allow for heterogeneous volatility dynamics among different market regimes. Both in-sample fit and out-of-sample forecasting tests confirm that the two-state NM-GARCH approach performs significantly better than the traditional normal GARCH model. For each commodity, it is found that an expected negative price change corresponds to a higher volatility persistence, while an expected positive price change arises in conjunction with a greater responsiveness of volatility. In the third essay, I propose an estimator for a nonparametric additive unconditional quantile regression model. Unconditional quantile regression is able to assess the possible different impacts of covariates on different unconditional quantiles of a response variable. The proposed estimator does not require d-dimensional nonparametric regression and therefore has no curse of dimensionality. In addition, the estimator has an oracle property in the sense that the asymptotic distribution of each additive component is the same as the case when all other components are known. Both numerical simulations and an empirical application suggest that the new estimator performs much better than alternatives. / the Canadian Agricultural Trade Policy and Competitiveness Research Network, the Structure and Performance of Agriculture and Agri-products Industry Network, and the Institute for the Advanced Study of Food and Agricultural Policy.

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.

Dans cette thèse, nous étudions l'effet de l'auto-sélection des salariés sur l'estimation de la productivité, des différentiels de salaires et de qualité du travail entre les secteurs. Afin de prendre en compte l'auto-sélection des employés dans l'estimation des différentiels le long de la distribution des salaires, nous construisons une approche innovante composée de trois caractéristiques: (i) nous nous intéressons aux effets par quantile inconditionnel; (ii) nous incorporons des effets fixes spécifiques à chaque quantile; (iii) nous proposons une méthode de correction de l'incidental parameter bias. Cette approche permet de produire des résultats exploitables en terme de politiques publiques. Nous montrons dans un premier temps que la sélection positive dans le secteur public tend à se dégrader. Elle disparaît totalement en haut de la distribution des salaires dans la période récente, suggérant un effet négatif du gel des salaires nominaux. Dans notre deuxième article, nous mettons en évidence une sélection négative substantielle dans le secteur informel concernant les hommes et les bas salaires. Cette sélection négative apparaît à la suite de la Grande Récession, indiquant une réallocation des salariés les moins productifs vers le secteur informel. Dans le dernier article, nous montrons pour la période récente que le niveau de productivité des SCOP n'est pas significativement différent de celui des autres entreprises. Nous confirmons l'hypothèse selon laquelle les motivations non-pécunières des employés expliquent une partie importante de la productivité des SCOP dans deux des secteurs étudiés (secteur manufacturier et secteur des transports). / This PhD thesis studies the effect of workers' self-selection when estimating productivity, wages and job quality differentials between sectors. In order to account for the self-selection of employees in the estimation of differentials along the wage distribution, we develop an innovative approach comprising three features: (i) we rely on unconditional quantile effects ; (ii) we incorporate quantile-specific fixed effects; (iii) we suggest a treatment of the incidental parameter bias. This method allows to provide public policies relevant comparisons. We show first that the positive selection into public jobs tends to decline. It totally disappears among top earners in the recent period, suggesting the detrimental effect of nominal wage freeze. In the second paper, we unveil that there is a substantial negative selection into informal salary work for men on average and particularly at low wages. It arises in the wake of the Great Recession, pointing to a shakeout of less productive workers in the formal sector. In the last paper, we account for employees' non-pecuniary motives in our comparison of the productivity of labour-managed firms and other for-profits company. We confirm for the recent period and on a large scale that the SCOP total factor productivity level is not significantly different from the other firms'. We find also results that support the hypothesis that employees non-pecuniary motives accounts for a substantial part of French labour-managed firms productivity in two of the three industries studied (manufacturing and transports).