Diese Arbeit behandelt die Instrumentalvariablenregression im Kontext der Stichprobenwiederholung. Es wird ein Rahmen geschaffen, der das Ziel der Inferenz identifiziert. Diese Abhandlung versucht die Instrumentalvariablenregression von einer neuen Perspektive aus zu motivieren. Dabei wird angenommen, dass das Ziel der Schätzung von zwei Faktoren gebildet wird, einer Umgebung und einer zu einem internen Model spezifischen Struktur. Neben diesem Rahmen entwickelt die Arbeit eine Methode der Stichprobenwiederholung, die geeignet für das Testen einer linearen Hypothese bezüglich der Schätzung des Ziels ist. Die betreffende technische Umgebung und das Verfahren werden im Zusammenhang in der Einleitung und im Hauptteil der folgenden Arbeit erklärt. Insbesondere, aufbauend auf der Arbeit von Spokoiny, Zhilova 2015, rechtfertigt und wendet diese Arbeit ein numerisches ’multiplier-bootstrap’ Verfahren an, um nicht asymptotische Konfidenzintervalle für den Hypothesentest zu konstruieren. Das Verfahren und das zugrunde liegende statistische Werkzeug wurden so gewählt und angepasst, um ein im Model auftretendes und von asymptotischer Analysis übersehenes Problem zu erklären, das formal als Schwachheit der Instrumentalvariablen bekannt ist. Das angesprochene Problem wird jedoch durch den endlichen Stichprobenansatz von Spokoiny 2014 adressiert. / Instrumental variables regression in the context of a re-sampling is considered. In the work a framework is built to identify an inferred target function. It attempts to approach an idea of a non-parametric regression and motivate instrumental variables regression from a new perspective. The framework assumes a target of estimation to be formed by two factors - an environment and an internal, model specific structure. Aside from the framework, the work develops a re-sampling method suited to test linear hypothesis on the target. Particular technical environment and procedure are given and explained in the introduction and in the body of the work. Specifically, following the work of Spokoiny, Zhilova 2015, the writing justifies and applies numerically 'multiplier bootstrap' procedure to construct confidence intervals for the testing problem. The procedure and underlying statistical toolbox were chosen to account for an issue appearing in the model and overlooked by asymptotic analysis, that is weakness of instrumental variables. The issue, however, is addressed by design of the finite sample approach by Spokoiny 2014.

New keynesian Phillips curve (NKPC) has become a central model to study the relation between inflation and real economic activity, notably in the framework of optimal monetary policy design. However, some recent evidence suggests that empirical data are usually at odds with the underlying theory. The model due to its inherent structure represents a statistical challenge in its own right. Since Galí and Gertler (1999) published their seminal paper introducing estimation via GMM techniques, they have triggered a heated debate on its empirical relevance. Their approach has been heavily criticised by later authors, mainly on the grounds of questionable behaviour of GMM estimator in the NKPC context and/or its small sample properties. The common criticism includes sensitivity to the choice of instrument set, weak identification and small sample bias. In this thesis I propose a new estimation strategy that provides a remedy to above mentioned shortcomings and allows to obtain reliable estimates. The procedure exploits recent advances in GMM theory as well as in other fields of statistics, in particular in the area of time series factor analysis and bootstrap. The proposed estimation strategy consists of several consecutive steps: first, to reduce a small sample bias resulting from excessive use of instruments I summarize all available information by employing factor analysis and include estimated factors into information set. In the second step I use statistical information criteria to select optimal instruments and eventually I obtain confidence intervals on parameters using bootstrap method. In NKPC context all these methods were used for the first time and can also be used independently. Their combination however provides synergistic effect that helps to improve the properties of estimates and to check the efficiency of given steps. Obtained results suggest that NKPC model can explain Czech inflation dynamics fairly well and provide some support for underlying theory. Among other things the results imply that the policy of disinflation may not be as costly with respect to a loss in aggregate product as earlier versions of Phillips curve would indicate. However, finding a good proxy for real economic activity has proved to be a difficult task. In particular we demonstrated that results are conditional on how the measure is calculated, some measures even showed countercyclical behaviour. This issue -- in the thesis discussed only in passing -- is a subject of future research. In addition to the proposed strategy and provided parameter estimates the thesis brings some partial simulation-based findings. Simulations elaborate on earlier literature on naive bootstrap in GMM context and study performance of bootstrap modifications of unit root and KPSS test.

The dissertation consists of four essays that treat different aspects or the evaluation of public policy. Two essays are applications of the travel cost method. In the first of these, recreational travel to the Swedish coast is studied to obtain estimates of the social benefits from reduced eutrophication of the sea. The second travel cost essay attempts at estimating how the probability that a woman will undergo mammographic screening for breast cancer is affected by the distance she has to travel to undergo such an examination. Using these estimated probabilities, the woman's valuation of the examination is obtained. The two other essays deal with automobile taxation. One essay analyzes how taxation and the Swedish eco-labeling system of automobiles have affected the sale of different car models. The last essay treats the effects of taxes and of scrappage premiums on the life length of cars. / Diss. Stockholm : Handelshögskolan, 1999

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

This thesis consists of three chapters. The first chapter examines empirically the relationshipbetween foreign aid and economic growth in the Least Developed Countries. Instrumentalvariables techniques are used to estimate the effect that economic growth has on foreign aidand to adjust for the reverse causal effect that growth has on aid when estimating the effect thataid has on growth. The second chapter examines the effects that fiscal expansions have on theunemployment rate. The chapter presents SVAR evidence for ten OECD countries and builds aDSGE model with a labor force participation choice and workers' heterogeneity to explain theempirical findings. The third chapter examines the effects that economic growth has on thesupport for extreme political platforms. The chapter provides a theoretical model in favor ofgrowth effects (as opposed to level effects) on the support for extreme political parties, andinvestigates empirically the relationship between growth and extremist votes for 16 OECDcountries.Esta tesis consiste en tres capítulos. El primer capítulo examina empíricamente la relación entrela ayuda exterior y crecimiento económico en los países menos adelantados. Técnicas devariables instrumentales se utilizan para estimar el efecto que el crecimiento económico tienesobre la ayuda exterior y para ajustar el efecto de causalidad inversa que el crecimiento tiene enla ayuda al estimar el efecto que la ayuda tiene sobre el crecimiento. El segundo capítuloanaliza los efectos que las expansiones fiscales tienen sobre la tasa de desempleo. El capítulopresenta pruebas SVAR para diez países de la OCDE y construye un modelo DSGE con unaparticipación en la fuerza de trabajo y heterogeneidad de los trabajadores para explicar losresultados empíricos. El tercer capítulo analiza los efectos que el crecimiento económico tieneen el apoyo a las plataformas políticas extremas. El capítulo ofrece un modelo teórico a favorde los efectos del crecimiento (en contraposición a los efectos de nivel) con el apoyo departidos políticos de extrema, e investiga empíricamente la relación entre el crecimiento devotos y extremistas para 16 países de la OCDE.

Submitted by Leonardo Salim Saker Chaves (lsalimsaker@gmail.com) on 2015-07-24T19:51:22Z No. of bitstreams: 1 Dissertacao_LeonardoSalim_BMHS.pdf: 661288 bytes, checksum: a89da060d1378be5cf51ff1edc18cfc6 (MD5) / Approved for entry into archive by BRUNA BARROS (bruna.barros@fgv.br) on 2015-07-27T14:42:35Z (GMT) No. of bitstreams: 1 Dissertacao_LeonardoSalim_BMHS.pdf: 661288 bytes, checksum: a89da060d1378be5cf51ff1edc18cfc6 (MD5) / Approved for entry into archive by Maria Almeida (maria.socorro@fgv.br) on 2015-07-30T19:33:12Z (GMT) No. of bitstreams: 1 Dissertacao_LeonardoSalim_BMHS.pdf: 661288 bytes, checksum: a89da060d1378be5cf51ff1edc18cfc6 (MD5) / Made available in DSpace on 2015-07-30T19:33:33Z (GMT). No. of bitstreams: 1 Dissertacao_LeonardoSalim_BMHS.pdf: 661288 bytes, checksum: a89da060d1378be5cf51ff1edc18cfc6 (MD5) Previous issue date: 2015-04-28 / This work studies the hypothesis testing based on generalized method of moments (GMM) estimation given by instruments condition. The importance for the development of Economics lies on the fact that when identi cation is weak, the standard test can be misleading. Therefore, it is made a review of proposed tests to overcome this problem and also present two useful frameworks of study; from Moreira (2002), Moreira and Moreira (2013) and Kleibergen (2005). So, this work conciliate the previous frameworks a way to write the score proposed initially in Kleibergen (2005) using Moreira and Moreira (2013) statistics and presents the optimal score test based on asymptotic theory from Newey and McFadden (1984). Moreover, the study shows the equivalence between the GMM and maximum likelihood estimation to deal with the weak instruments problem. / Esta dissertação se propõe ao estudo de inferência usando estimação por método generalizado dos momentos (GMM) baseado no uso de instrumentos. A motivação para o estudo está no fato de que sob identificação fraca dos parâmetros, a inferência tradicional pode levar a resultados enganosos. Dessa forma, é feita uma revisão dos mais usuais testes para superar tal problema e uma apresentação dos arcabouços propostos por Moreira (2002) e Moreira & Moreira (2013), e Kleibergen (2005). Com isso, o trabalho concilia as estatísticas utilizadas por eles para realizar inferência e reescreve o teste score proposto em Kleibergen (2005) utilizando as estatísticas de Moreira & Moreira (2013), e é obtido usando a teoria assintótica em Newey & McFadden (1984) a estatística do teste score ótimo. Além disso, mostra-se a equivalência entre a abordagem por GMM e a que usa sistema de equações e verossimilhança para abordar o problema de identificação fraca.

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

Le principal objectif de ce travail de recherche est d'analyser de façon empirique, à l'aide d'une approche nouvelle et robuste, les déterminants de la fréquentation scolaire, le rôle du secteur informel dans l'abandon scolaire, et les liens entre le travail des jeunes et la productivité dans les petites entreprises. Premièrement, nous sommes intéressés à déterminer la magnitude des rendements privés de l'éducation au Venezuela. Pour cela, nous utilisons des données en coupe transversale répétée provenant de l'enquête des ménages. Le désavantage d'utiliser des données de pseudo-panel est la présence élevée d'erreurs de mesure. Nous abordons ce problème à travers l'utilisation de la méthode de variables instrumentales basée sur les moments empiriques d'ordre supérieur à deux. Par la suite, nous cherchons à comprendre les causes de l'abandon scolaire dans l'enseignement secondaire au Venezuela. Notre contribution à la littérature de l'abandon scolaire est double. Tout d'abord,l'inclusion de l'informalité (représentée par les parents des jeunes qui travaillent au noir) comme l'un des principaux facteurs qui influent sur la probabilité que les enfants culminent leurs études secondaires. Deuxièmement, l'utilisation de données de panel dans l'évaluation du problème des jeunes décrocheurs du secondaire, donne un aperçu nouveau et plus robuste sur les goulets d'étranglement de l'éducation du Venezuela. L'approche économétrique est basé sur l'utilisation des corrections de Mundlak afin d'éliminer le biais d'endogénéité. Pour terminer, nous analysons l'effet de jeunes travailleurs sur la productivité des petites entreprises non enregistrées au Brésil. Nous utilisons la méthode de la variable instrumentale afin de veiller à ce que nos résultats ne soient pas biaisés. / The purpose of this thesis is to empirically assess, through the use of novel and econometrically robust approaches, the drivers of school attendance, the role of informality in school dropout, and the linkages between youth work and productivity in small firms. First, we are interested in determining how important the private returns to education are in Venezuela. To this matter, we construct a pseudopanel data by means of the repeated cross-sections from the household survey. The drawback of using pseudo-panel data is the high presence of measurement errors. We address this issue through the use of consistent instrumental variables estimators based on sample moments of order higher than two. Second, we seek to understand the causes of school dropout in secondary education in Venezuela. The econometric approach consists in eliminating the endogeneity bias by using Mundlak corrections, since there is neither a good instrument nor can fixed-effects estimators be used in this estimation. Our contribution for school dropout's literature is twofold. First, the inclusion of informality (informal worker parents) as one of the main factorsffecting the likelihood of children completing high school. Second, the use of recent panel data in assessing the problem of early high school dropouts, provides new and more robust insight into Venezuela's educational bottlenecks. Finally, we analyzethe affect of the share of young workers on small unregistered firms' productivity in Brazil. We use the method of Instrumental Variable in order to ensure that our results are not biased.

Orientador: Celso Pascoli Bottura / Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e Computação / Made available in DSpace on 2018-08-31T09:18:30Z (GMT). No. of bitstreams: 1 Serra_GinalberLuizdeOliveira_D.pdf: 2165582 bytes, checksum: a1dad46bc4d817f8d4e6457f60ae9599 (MD5) Previous issue date: 2005 / Resumo: Esta tese apresenta propostas de metodologias para identificação e controle inteligentes. Uma metodologia para identificação de sistemas dinâmicos não-lineares no tempo discreto, baseada tio método de variável instrumental e no modelo nebuloso Takagi-Sugeno, é apresentada. Nesta metodologia, a qual é uma extensão do método de variável instrumental tradicional, as variáveis instrumentais escolhidas, estatisticamente independentes do ruído, são mapeadas em conjuntos nebulosos, particionando o espaço de entrada em sub-regiões, para estimação não-polarizada dos parâmetros do conseqüente dos modelos nebulosos TS em ambiente ruidoso. Um esquema de controle adaptativo gain scheduling baseado em redes neurais, sistemas nebulosos e algoritmos genéticos para sistemas dinâmicos não-lineares no tempo discreto também é apresentado. 0 controlador nebuloso é desenvolvido e projetado com o usa de um algoritmo genético para satisfazer, simultaneamente, múltiplos objetivos. Com o esquema de aprendizagem supervisionada, os parâmetros do controlador nebuloso são usados para projetar um gain scheduler neural para ajuste on-line do controlador nebuloso em alguns pontos de operação do sistema dinâmico / Abstract: This thesis presents proposals of methodologies for intelligent identification and control. A methodology tor nonlinear dynamic discrete time systems identification, based on the instrumental variable method and Takagi-Sugeno fuzzy model, is presented. In this methodology, which is an extension of the standard instrumental variable method, the chosen instrumental variables, estatistically independent of the noise, are mapped into fuzzy sets, partitioning the input space in subregions, for unbiased estimation of Takagi-Sugeno fuzzy model consequent parameters in a noisy environment. A gain scheduling adaptive control design based on neural network, fuzzy systems and genetic algorithms for nonlinear dynamic discrete time systems is also presented. The fuzzy controller is developed and designed by a genetic algorithm to satisfy, simultaneously, multiple objectives. "With the supervised learning scheme, the fuzzy controller parameters are used to design the gain neural scheduler to tune on-line the fuzzy controller in some operation points of the dynamic system / Doutorado / Automação / Doutor em Engenharia Elétrica

[ES] En las últimas décadas, la intensificación del uso de las tecnologías de la información y la comunicación (TIC) ha supuesto grandes cambios en nuestra forma de vida. En este contexto de intensa y creciente digitalización, esta tesis doctoral estudia el papel que juegan las TIC como un factor determinante del rendimiento académico de los estudiantes de educación secundaria, así como los factores que propician el uso de las TIC en el aula por parte de los docentes. La tesis se compone de tres capítulos: (1) en el primero de ellos, se analiza la relación entre distintos tipos de uso de las TIC en el contexto social y educativo y el rendimiento académico; (2) en el capítulo dos, se centra la atención en el impacto que tiene sobre el rendimiento académico el uso de las TIC en el aula para realizar tareas y ejercicios; (3) y en el capítulo tres se analizan los factores que determinan la frecuencia de uso de las TIC en el aula por parte de los docentes. Para realizar estos análisis, se estudian datos procedentes de evaluaciones educativas internacionales y nacionales mediante la aplicación de distintos métodos estadísticos: modelos multinivel, método de variables instrumentales, método de emparejamiento por puntaje de propensión, regresiones cuantílicas y técnica de imputación multivariante por ecuaciones encadenadas. Los resultados alcanzados en las distintas investigaciones proporcionan evidencia empírica novedosa que permite elaborar recomendaciones en materia de política educativa, así como abrir futuras líneas de investigación que permitirán complementar los resultados de esta tesis doctoral. / [CA] En les últimes dècades, la intensificació de l'ús de les tecnologies de la informació i la comunicació (TIC) ha suposat grans canvis en la nostra forma de vida. En aquest context d'intensa i creixent digitalització, aquesta tesi doctoral estudia el paper que juguen les TIC com un factor determinant del rendiment acadèmic dels estudiants d'educació secundària, així com els factors que propicien l'ús de les TIC a l'aula per part dels docents. La tesi es compon de tres capítols: (1) en el primer d'ells, s'analitza la relació entre diferents tipus d'ús de les TIC en el context social i educatiu i el rendiment acadèmic; (2) en el capítol dos, se centra l'atenció en l'impacte que té sobre el rendiment acadèmic l'ús de les TIC a l'aula per a fer tasques i exercicis; (3) i en el capítol tres s'analitzen els factors que determinen la freqüència d'ús de les TIC a l'aula per part dels docents. Per a realitzar aquestes anàlisis, s'estudien dades procedents d'avaluacions educatives internacionals i nacionals mitjançant l'aplicació de diferents mètodes estadístics: models multinivell, mètode de variables instrumentals, mètode d'aparellament per puntuació de propensió, regressió quantílica i tècnica d'imputació multivariant per equacions encadenades. Els resultats aconseguits en les diferents investigacions proporcionen evidència empírica nova que permet elaborar recomanacions en matèria de política educativa, així com obrir futures línies d'investigació que permetran complementar els resultats d'aquesta tesi doctoral. / [EN] In recent decades, the intensification of the use of information and communication technologies (ICT) has brought about major changes in our way of life. In this context of intense and increasing digitalization, this doctoral thesis studies the role of ICT as a determinant of the academic performance of secondary school students, as well as the factors that favour the use of ICT in the classroom by teachers. The thesis consists of three chapters: (1) in the first one, the relationship between different types of ICT use in the social and educational context and academic performance is analysed; (2) in chapter two, attention is focused on the impact on academic performance of the use of ICT in the classroom to carry out tasks and exercises; (3) and in chapter three, the factors that determine the frequency of ICT use in the classroom by teachers are analysed. In order to carry out these analyses, data from international and national educational assessments are studied by applying different statistical methods: multilevel models, instrumental variables method, propensity score matching method, quantile regressions and multivariate imputation technique by chained equations. The results achieved in the different investigations provide novel empirical evidence that allows us to elaborate recommendations for educational policy, as well as to open future lines of research that will allow us to complement the results of this doctoral thesis. / Mi agradecimiento al Ministerio de Universidades por su apuesta en la financiación de mi proyecto de investigación mediante el contrato FPU16/04571 y por permitirme dedicarme durante estos cuatro años exclusivamente a la investigación y a la docencia universitaria. Agradezco también al Ministerio de Economía y Competitividad y al doctor Jorge Calero, investigador principal del proyecto “Evaluación de intervenciones educativas para la mejora de la calidad educativa”, por permitirme participar como miembro del equipo de trabajo en el proyecto EDU2016-76414-R y financiar la presentación de mis investigaciones en congresos nacionales e internacionales. Igualmente, agradezco a la Fundación Sabadell por otorgarme una ayuda a la investigación científica en la convocatoria 2020-2021. / Gómez Fernández, NM. (2022). Use of Statistical Methods for the Analysis of Educational Data: the Role of ICTs in the Educational Context [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/181000 / TESIS