Previsão da demanda doméstica da aviação comercial européia

This paper work has as objective the study and forecasting of the demand behavior for the European commercial aviation industry. Once economy and demand has a straight relationship, the tool chosen to perform this forecast was the Econometry. In order to get a more efficient forecast, a complete analysis of the environment in which the aviation sector is, to understand all factors with influence over the market as a whole. Only then, the variables which would be tested for the correlation with the demand were picked. The final results of this study has achieved all objectives set and has given a better view over the European Commercial Aviation Market

Uma análise empírica do setor bancário, níveis 1 e novo mercado das práticas de governança corporativa, baseada nas expectativas dos agentes

O presente trabalho apresenta em sua essência conceitos relacionados as práticas de Governança Corporativa no mundo e, principalmente, no Brasil. Tais práticas são leis que ajudam na Bolsa de Valores, trazendo mais transparência e confiança para os agentes e está desenvolvido no segundo capítulo. Tais práticas, então, afetarão diretamente as expectativas dos agentes a investirem seus capitais de forma mais segura. Para tanto, é necessário ter uma ideia geral de como são afetadas tais expectativas e é onde está desenvolvido o primeiro capítulo. Para concluir, é feita uma análise empírica, baseada em séries temporais, de econometria para auxiliar se o que a teoria nos diz é comprovada na prática e são usadas como base os Bancos Nossa Caixa e Banco Bradesco

Análise da demanda de fertilizantes no Brasil: um estudo econométrico através da modelagem arima

A simulação de tendências futuras no setor de fertilizantes encaminha o produtor rural a prevenir-se de bruscas variações de preços, possibilitando maior poder de concorrência no cenário internacional. Para tanto, propõe-se a utilização da metodologia ARIMA para se estimar a demanda do consumo de fertilizantes no Brasil. Primeiramente revisitando a literatura especializada, obtendo informações históricas relevantes, além de avaliar as vicissitudes do cenário atual. A segunda parte introduz os conceitos da metodologia ARIMA , e encerrando com a apresentação dos dados e análises estatísticas da previsão 2012 à 2016

Métodos econométricos para a análise do índice de inflação no Brasil

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Uma análise espacial do crescimento econômico dos municípios paulistas no período de 2000-2010

O presente trabalho tem como objetivo fazer uma análise do crescimento econômico dos municípios paulistas entre os anos de 2000 e 2010 baseando-se, principalmente, no modelo de Glaeser et al. (1995). Essa análise será feita relacionando o crescimento com variáveis socioeconômicas como a renda, infra-estrutura, emprego e educação. Além disso, serão acrescentadas técnicas da econometria espacial para verificar os efeitos da aglomeração e possíveis externalidades provocadas pelo crescimento. Por fim, será feita uma comparação com o trabalho de Vieira (2008) que fez uma análise semelhante dos municípios paulistas para o período de 1980 a 2000

Um modelo para a criminalidade no município de São Paulo em 2001

This work aims to estimate an empirical model for three kinds of crime in Sao Paulo city: homicides, robberies and car thefts. It uses as geographical units the areas belonging to each police districts and takes in account spatial effects among the variables. The results show important differences when we deal with crime against people and crime against property.

Curva de Kuznets ambiental para o Estado de Mato Grosso

Issues concerning deforestation have become a crucial theme in the environmental world debate. In this picture, Mato Grosso State has become an unfavorable example because it represents 36% of the accumulated deforestation in the Brazilian Amazon. In order to investigate the relationship between deforestation and income growth, this paper estimates an Environmental Kuznets Curve (EKC) for 139 cities of Mato Grosso through spatial econometrics. Using data for the year 2006, we estimate an EKC for the deforestation per capita against income per capita and other variables controlling the spatial effects. The preliminary results indicate that an EKC exists in a reversed U shape, i. e., the income growth reduces environmental effects from the maximum point. However, introducing a cubic term for the income, the economic growth would not reveal any relationship with the deforestation in the Mato Grosso State.

Desmatamento no Estado de Mato Grosso: avaliação de convergência e interação espacial

Este trabalho faz uma análise de convergência espacial para o processo de desmatamento em 139 municípios do estado de Mato Grosso durante o período de 2000 a 2008. Primeiramente, realiza-se uma análise exploratória de dados espaciais (Aede), que detecta a presença de autocorrelação espacial entre as taxas de desmatamento dos municípios da referida região. Dessa forma, pode-se considerar que o desmatamento não segue um processo aleatório no estado de Mato Grosso. Após isso, são estimados alguns modelos de β convergência, indicando que o modelo de erro espacial é o que fornece melhores resultados. Contudo, mesmo o coeficiente β sendo estatisticamente significativo para todos os períodos, apresenta sinal positivo, sugerindo que não ocorre convergência, mas sim incremento das disparidades regionais no processo de desmatamento.

Le determinanti degli investimenti diretti esteri in Italia nel settore agroalimentare

Gli investimenti diretti esteri (IDE) giocano un ruolo importante nella crescita economica e nello sviluppo territoriale. Con il notevole aumento dei flussi IDE nel settore agroalimentare a livello mondiale l’attenzione si è concentrata sul dibattito relativo alle determinanti che spingono alla scelta di un territorio piuttosto che un altro. Non esiste ancora un lavoro definitivo ed univoco sulle determinanti degli IDE. Alcune delle più frequenti analisi sui fattori che influenzano gli IDE includono: l’entità del mercato, il costo del lavoro, i tassi di interesse, le barriere protezionistiche, tassi di cambio, predisposizione all’export, struttura del mercato, distanze geografiche, stabilità politica e affinità culturale. Questo lavoro si propone di analizzare le determinanti nel settore agroalimentare italiano sia teoricamente che empiricamente. A questo scopo è stata applica come base teorica il paradigma OLI di Dunning e i principi legati agli investimenti orizzontali al settore agroalimentare regionale italiano. Sono state esaminate le determinanti degli investimenti diretti inward in questo settore. Le risultanti suggeriscono una relazione positiva tra la presenza di attività di servizi e la presenza di IDE nelle diverse Regioni. In un Paese ad economia avanzata come l’Italia, strategie territoriali e di impresa basate sui costi e sul mercato non sono caratterizzanti per attrarre multinazionali straniere, mentre la dotazione di servizi e infrastrutture rappresentano un nuovo obiettivo su cui le Regioni devono puntare per aprire i territori alle sfide della globalizzazione. Questa ricerca unisce analisi statistica ed econometria e studio bibliografico per approfondire e comprendere la materia in oggetto e fornire nuovi elementi e spunti su cui discutere.

Bayesian Analysis of Linear Inverse Problems with Applications in Economics and Finance

In my PhD thesis I propose a Bayesian nonparametric estimation method for structural econometric models where the functional parameter of interest describes the economic agent's behavior. The structural parameter is characterized as the solution of a functional equation, or by using more technical words, as the solution of an inverse problem that can be either ill-posed or well-posed. From a Bayesian point of view, the parameter of interest is a random function and the solution to the inference problem is the posterior distribution of this parameter. A regular version of the posterior distribution in functional spaces is characterized. However, the infinite dimension of the considered spaces causes a problem of non continuity of the solution and then a problem of inconsistency, from a frequentist point of view, of the posterior distribution (i.e. problem of ill-posedness). The contribution of this essay is to propose new methods to deal with this problem of ill-posedness. The first one consists in adopting a Tikhonov regularization scheme in the construction of the posterior distribution so that I end up with a new object that I call regularized posterior distribution and that I guess it is solution of the inverse problem. The second approach consists in specifying a prior distribution on the parameter of interest of the g-prior type. Then, I detect a class of models for which the prior distribution is able to correct for the ill-posedness also in infinite dimensional problems. I study asymptotic properties of these proposed solutions and I prove that, under some regularity condition satisfied by the true value of the parameter of interest, they are consistent in a "frequentist" sense. Once I have set the general theory, I apply my bayesian nonparametric methodology to different estimation problems. First, I apply this estimator to deconvolution and to hazard rate, density and regression estimation. Then, I consider the estimation of an Instrumental Regression that is useful in micro-econometrics when we have to deal with problems of endogeneity. Finally, I develop an application in finance: I get the bayesian estimator for the equilibrium asset pricing functional by using the Euler equation defined in the Lucas'(1978) tree-type models.

Network Externalities in Developing Economies

This thesis contains three essays on microeconometrics, networks and economic development. In the first two essays I focus on developing country settings (Tanzania and Nepal respectively) to study how rural villagers form their social networks, and how the existence of these informal links impacts their welfare. The third essay focuses on the international trade of arms to investigate whether the political orientation of government in power makes any difference to arms export policy.

Quantifying the Economics of Medical Malpractice - A View from a Civil Law Perspective

Life is full of uncertainties. Legal rules should have a clear intention, motivation and purpose in order to diminish daily uncertainties. However, practice shows that their consequences are complex and hard to predict. For instance, tort law has the general objectives of deterring future negligent behavior and compensating the victims of someone else's negligence. Achieving these goals are particularly difficult in medical malpractice cases. To start with, when patients search for medical care they are typically sick in the first place. In case harm materializes during the treatment, it might be very hard to assess if it was due to substandard medical care or to the patient's poor health conditions. Moreover, the practice of medicine has a positive externality on the society, meaning that the design of legal rules is crucial: for instance, it should not result in physicians avoiding practicing their activity just because they are afraid of being sued even when they acted according to the standard level of care. The empirical literature on medical malpractice has been developing substantially in the past two decades, with the American case being the most studied one. Evidence from civil law tradition countries is more difficult to find. The aim of this thesis is to contribute to the empirical literature on medical malpractice, using two civil law countries as a case-study: Spain and Italy. The goal of this thesis is to investigate, in the first place, some of the consequences of having two separate sub-systems (administrative and civil) coexisting within the same legal system, which is common in civil law tradition countries with a public national health system (such as Spain, France and Portugal). When this holds, different procedures might apply depending on the type of hospital where the injury took place (essentially whether it is a public hospital or a private hospital). Therefore, a patient injured in a public hospital should file a claim in administrative courts while a patient suffering an identical medical accident should file a claim in civil courts. A natural question that the reader might pose is why should both administrative and civil courts decide medical malpractice cases? Moreover, can this specialization of courts influence how judges decide medical malpractice cases? In the past few years, there was a general concern with patient safety, which is currently on the agenda of several national governments. Some initiatives have been taken at the international level, with the aim of preventing harm to patients during treatment and care. A negligently injured patient might present a claim against the health care provider with the aim of being compensated for the economic loss and for pain and suffering. In several European countries, health care is mainly provided by a public national health system, which means that if a patient harmed in a public hospital succeeds in a claim against the hospital, public expenditures increase because the State takes part in the litigation process. This poses a problem in a context of increasing national health expenditures and public debt. In Italy, with the aim of increasing patient safety, some regions implemented a monitoring system on medical malpractice claims. However, if properly implemented, this reform shall also allow for a reduction in medical malpractice insurance costs. This thesis is organized as follows. Chapter 1 provides a review of the empirical literature on medical malpractice, where studies on outcomes and merit of claims, costs and defensive medicine are presented. Chapter 2 presents an empirical analysis of medical malpractice claims arriving to the Spanish Supreme Court. The focus is on reversal rates for civil and administrative decisions. Administrative decisions appealed by the plaintiff have the highest reversal rates. The results show a bias in lower administrative courts, which tend to focus on the State side. We provide a detailed explanation for these results, which can rely on the organization of administrative judges career. Chapter 3 assesses predictors of compensation in medical malpractice cases appealed to the Spanish Supreme Court and investigates the amount of damages attributed to patients. The results show horizontal equity between administrative and civil decisions (controlling for observable case characteristics) and vertical inequity (patients suffering more severe injuries tend to receive higher payouts). In order to execute these analyses, a database of medical malpractice decisions appealed to the Administrative and Civil Chambers of the Spanish Supreme Court from 2006 until 2009 (designated by the Spanish Supreme Court Medical Malpractice Dataset (SSCMMD)) has been created. A description of how the SSCMMD was built and of the Spanish legal system is presented as well. Chapter 4 includes an empirical investigation of the effect of a monitoring system for medical malpractice claims on insurance premiums. In Italy, some regions adopted this policy in different years, while others did not. The study uses data on insurance premiums from Italian public hospitals for the years 2001-2008. This is a significant difference as most of the studies use the insurance company as unit of analysis. Although insurance premiums have risen from 2001 to 2008, the increase was lower for regions adopting a monitoring system for medical claims. Possible implications of this system are also provided. Finally, Chapter 5 discusses the main findings, describes possible future research and concludes.

Econometric models of financial risks

The goal of this dissertation is to use statistical tools to analyze specific financial risks that have played dominant roles in the US financial crisis of 2008-2009. The first risk relates to the level of aggregate stress in the financial markets. I estimate the impact of financial stress on economic activity and monetary policy using structural VAR analysis. The second set of risks concerns the US housing market. There are in fact two prominent risks associated with a US mortgage, as borrowers can both prepay or default on a mortgage. I test the existence of unobservable heterogeneity in the borrower's decision to default or prepay on his mortgage by estimating a multinomial logit model with borrower-specific random coefficients.