Expenditures on the salaries of public sector employees constitute a very important component of public expenditures, currently around CZK 200 billion annually in the Czech Republic. Adjusting the remuneration of employees in public administration (sector) is therefore an important option for increasing the efficiency of use of public funds. The assessment of the current system of public sector employee remuneration and a proposal for some specific changes to be made to it is the focus of this dissertation. The primary aim of my dissertation is to analyze the system of remuneration of employees of public and private sectors, both qualitatively and quantitatively. Within the primary target there is also a decomposition analysis, which indicates whether the employees are discriminated against in any of the sectors. The secondary objective is to make recommendations for the system of remunerating public sector employees of the in order to increase its efficiency in terms of public spending while maintaining its incentive function. The work is divided into five chapters. The first chapter, entitled "Theoretical Foundations," provides an overview of the relevant literature, the fundamental basis in economic theory, and issues of the Mincer wage equation, which is then later used as the basis for regression and decomposition analyses, and mainly describes in detail the decomposition method that is used to explain the difference in the salary level in the private and the public sector. These decomposition methods represent, together with quantile regression, the main tool used to meet the objectives of this work. The second chapter, entitled "The Remuneration of Public Sector Employees," describes the structure of the remuneration of employees of the public sector. The data shows that the current system produces results in the form of salaries that do not correspond to the market. The third chapter, called "Regression Model," builds on the analysis performed on data from QSAE, which was discussed in the second part of the previous chapter, and its purpose is to prepare the documents for verification and deepen their conclusions. The fourth chapter, called "Regression and Decomposition Analysis," is based on the regression model assembled in the previous chapter, and describes the results of the regression decomposition analysis performed on the described sample data. This chapter verifies the hypotheses set out in the introduction and answers research questions. The fifth and final chapter, entitled "Interpretation of the Results and Recommendations," focuses on the interpretation of the results, the proposed regulation of remuneration, and recommendations for further research. The main finding of this work is that the system of remuneration of public sector workers is set so that, while the overall average brings quite comparable results in terms of the salary as the entire labor market, it is not throughout the distribution. The performed regression analysis showed that both the public and private sectors evaluate the same things differently (different values of the regression coefficients of variables), and both at the average and along the entire distribution. We can say that the mechanism of the remuneration of employees of the public sector is different from that of the market. This fact is confirmed by the significantly higher coefficient of determination of the regression model of the public sector. Regarding possible discrimination in wages, the analysis showed that employees in the public sector may in contrary to the preposition of positive discrimination be positively discriminated against only up to approximately fifteenth percentile. From fifteenth percentile they are discriminated against negatively. This was confirmed by the decomposition analysis performed on the average salaries, which indicates that public sector employees are, at this level, negatively discriminated against (if the public sector employees have the same regression coefficients as private sector employees, their earnings increase). Finally, this conclusion is confirmed by the dummy variable, which represents belonging to the private sector when the value of its corresponding regression coefficients, in quantile regression analysis along the distribution, evolves from negative to positive and is significantly increasing. The thesis also shows how the system of remunerating public sector employees can be adjusted to reward employees in a way that is comparable with the market.

In the present doctoral thesis, we estimated Mincer's (1974) semi logarithmic wage function for the French and Pakistani labour force data. This model is considered as a standard tool in order to estimate the relationship between earnings/wages and different contributory factors. Despite of its vide and extensive use, simple estimation of the Mincerian model is biased because of different econometric problems. The main sources of bias noted in the literature are endogeneity of schooling, measurement error, and sample selectivity. We have tackled the endogeneity and measurement error biases via instrumental variables two stage least squares approach for which we have proposed two new instrumental variables. The first instrumental variable is defined as "the average years of schooling in the family of the concerned individual" and the second instrumental variable is defined as "the average years of schooling in the country, of particular age group, of particular gender, at the particular time when an individual had joined the labour force". Schooling is found to be endogenous for the both countries. Comparing two said instruments we have selected second instrument to be more appropriate. We have applied the Heckman (1979) two-step procedure to eliminate possible sample selection bias which found to be significantly positive for the both countries which means that in the both countries, people who decided not to participate in labour force as wage worker would have earned less than participants if they had decided to work as wage earner. We have estimated a specification that tackled endogeneity and sample selectivity problems together as we found in respect to present literature relative scarcity of such studies all over the globe in general and absence of such studies for France and Pakistan, in particular. Differences in coefficients proved worth of such specification. We have also estimated model semi-parametrically, but contrary to general norm in the context of the Mincerian model, our semi-parametric estimation contained non-parametric component from first-stage schooling equation instead of non-parametric component from selection equation. For both countries, we have found parametric model to be more appropriate. We found errors to be heteroscedastic for the data from both countries and then applied adaptive estimation to control adverse effects of heteroscedasticity. Comparing simple and adaptive estimations, we prefer adaptive specification of parametric model for both countries. Finally, we have applied quantile regression on the selected model from mean regression. Quantile regression exposed that different explanatory factors influence differently in different parts of the wage distribution of the two countries. For both Pakistan and France, it would be the first study that corrected both sample selectivity and endogeneity in single specification in quantile regression framework

Dans cette thèse, notre cadre d’analyse repose sur l’estimation de la fonction de gain proposée par Mincer (1974). Le but est de reprendre la spécification de ce modèle en s'intéressant aux problèmes d’estimation liés. Le but est aussi une comparaison pour les marchés du travail français et pakistanais en utilisant une spécification plus robuste.[...] Toutefois, suivant une nombreuse littérature, la simple estimation du modèle de Mincer est biaisée, ceci en raison de différents problèmes. [...] Dans la présente thèse deux nouvelles variables instrumentales sont proposées dans une application de type IV2SLS. [...] D'après l'analyse menée dans cette thèse, la seconde variable instrumentale apparaît être la plus appropriée, cela puisqu’elle possède un faible effet direct sur la variable de réponse par rapport à la première variable instrumentale proposée. Par ailleurs, la définition de cette variable instrumentale est plus robuste que la première variable instrumentale. [...] Pour éliminer une autre source potentielle de biais, dans l'estimation du modèle de Mincer, i.e. le biais de sélection, la classique méthode à deux étapes de correction proposée par Heckman (1979) a été appliquée. Par cette méthode le biais de sélection a été trouvé positif et statistiquement significatif pour les deux pays. [...] Dans la littérature relative à l'estimation du modèle de Mincer, nous avons noté qu’il y a très peu d'études qui corrigent les deux sources de biais simultanément et aucune étude de cette nature n’existe pas pour la France ou le Pakistan.[...] Donc, en réponse, nous estimons ici une seule spécification corrigeant de manière simultanée le biais de sélection de l'échantillon et le biais d'endogénéité de l'éducation. Nous avons également noté, toujours d'après la littérature, que la robustesse des hypothèses du modèle linéaire utilisé pour estimer le modèle de Mincer a rarement été discutée et testée.[...] Nous avons donc testé formellement la validité de l'hypothèse d'homoscédasticité, cela en appliquant le test de White (1980).[...] Donc, afin d'éviter les effets de l'hétéroscédasticité des erreurs sur le processus d'estimation, nous avons réalisé une estimation adaptative du modèle de Mincer.[...]Basées sur la performance globale des modèles paramétrique et semi-paramétrique, nous avons constaté que, pour la France, les deux formes d'estimation apparaissent bien spécifiées. Toujours dans l'idée de maintenir la facilité d’estimation, le modèle paramétrique a été sélectionné afin d'être le plus approprié pour les données françaises. Pour l'analyse du Pakistan, nous avons conclu que le modèle semi-paramétrique produit des résultats en désaccord avec l’agrément général au Pakistan, mais aussi en rapport à la littérature internationale pour certaines des variables.[...] Donc, comme pour les données françaises, pour les données pakistanaises, nous avons aussi choisi le modèle paramétrique comme le plus robuste qu’afin d'estimer les impacts exercés par les différents facteurs explicatifs sur le processus de la détermination des salaires. Pour les deux pays, après avoir comparé les versions simples et adaptatives du modèle paramétrique et du modèle semi-paramétrique, nous avons trouvé que le modèle paramétrique dans la spécification adaptative est plus performant dans l’objectif d'estimer les impacts des différents facteurs contributifs au processus de détermination des salaires.Enfin, nous avons estimé le modèle de Mincer dans une forme paramétrique choisie de ces estimations, comme le plus approprié en rapport à la forme semi-paramétrique, et à partir de l'analyse de régression en moyenne, comme pour le modèle de régression par quantile.[...]La méthode de régression par quantile a révélé que la plupart des variables explicatives influencent les gains salariaux, ceci différemment suivant les différentes parties de la distribution des salaires, pour les deux marchés du travail considérés. / In the present doctoral thesis, we estimated Mincer’s (1974) semi logarithmic wage function for the French and Pakistani labour force data. This model is considered as a standard tool in order to estimate the relationship between earnings/wages and different contributory factors. Despite of its vide and extensive use, simple estimation of the Mincerian model is biased because of different econometric problems. The main sources of bias noted in the literature are endogeneity of schooling, measurement error, and sample selectivity. We have tackled the endogeneity and measurement error biases via instrumental variables two stage least squares approach for which we have proposed two new instrumental variables. The first instrumental variable is defined as "the average years of schooling in the family of the concerned individual" and the second instrumental variable is defined as "the average years of schooling in the country, of particular age group, of particular gender, at the particular time when an individual had joined the labour force". Schooling is found to be endogenous for the both countries. Comparing two said instruments we have selected second instrument to be more appropriate. We have applied the Heckman (1979) two-step procedure to eliminate possible sample selection bias which found to be significantly positive for the both countries which means that in the both countries, people who decided not to participate in labour force as wage worker would have earned less than participants if they had decided to work as wage earner. We have estimated a specification that tackled endogeneity and sample selectivity problems together as we found in respect to present literature relative scarcity of such studies all over the globe in general and absence of such studies for France and Pakistan, in particular. Differences in coefficients proved worth of such specification. We have also estimated model semi-parametrically, but contrary to general norm in the context of the Mincerian model, our semi-parametric estimation contained non-parametric component from first-stage schooling equation instead of non-parametric component from selection equation. For both countries, we have found parametric model to be more appropriate. We found errors to be heteroscedastic for the data from both countries and then applied adaptive estimation to control adverse effects of heteroscedasticity. Comparing simple and adaptive estimations, we prefer adaptive specification of parametric model for both countries. Finally, we have applied quantile regression on the selected model from mean regression. Quantile regression exposed that different explanatory factors influence differently in different parts of the wage distribution of the two countries. For both Pakistan and France, it would be the first study that corrected both sample selectivity and endogeneity in single specification in quantile regression framework

Esta tesis evalúa el papel de las características no deseadas del trabajo - llamadas disamenities - en el contexto del balance entre trabajo y familia. Particularmente, se plantean las siguientes preguntas: ¿es el descenso en el salario de las mujeres luego del nacimiento del primer hijo - llamado child penalty - acompañado por una reducción simultánea en las disamenities?; ¿cuánto salario están dispuestas las madres a sacrificar para reducir las disamenities?; ¿las disamenities propias del trabajo de las madres tienen algún efecto sobre el desarrollo cognitivo de sus hijos? En el capitulo I se describe empíricamente como las características del trabajo de las madres cambian luego del nacimiento del primer hijo y se testea la hipótesis de que si el child penalty se puede explicar como un diferencial salarial compensatorio. En el capitulo II se estima la disposición marginal a pagar de las madres para reducir las disamenities. La estrategia de identificación está basada en la baja por maternidad, la cual constituye un contexto que permite modelar más cabalmente la decisión sobre la participación laboral; y por consiguiente, mejora la metodología existente para estimar la disposición marginal a pagar por parte de las madres. Finalmente, en el capitulo III se investiga el impacto de las disamenities del trabajo de las madres sobre el desarrollo infantil. / This dissertation evaluates the role of job disamenities - job characteristics disliked by workers - in the context of work-family balance. In particular, the following questions are raised. Is the decrease in mothers' wages around first childbirth - the so-called child penalty - accompanied by a simultaneous reduction in job disamenities? How much wage are mothers willing to sacrifice in order to reduce job disamenities? Do disamenities involved in mothers' occupations go on to affect parenting behaviour and as a result harm children's cognitive development? Chapter I provides empirical evidence for changes in maternal working conditions around first childbirth and tests the hypothesis if the child penalty can be explained by a compensating wage differential? Chapter II estimates mothers' marginal willingness to pay to reduce job disamenities. The identification strategy relies on the framework of maternal leave, a setting which allows us to model mothers' decision to join the labor force accurately and hence to improve on the existing methodology to estimate the marginal willingness to pay. Chapter III investigates how disamenities involved in mothers' occupation go on to affect children's cognitive outcomes.