Submitted by Felipe Dexheimer (felipe.dex@gmail.com) on 2017-08-30T17:01:27Z No. of bitstreams: 1 DissertacaoEnvio.pdf: 1900582 bytes, checksum: 347a4791d6eeac1e6b4919e40e275ffa (MD5) / Approved for entry into archive by Joana Martorini (joana.martorini@fgv.br) on 2017-08-30T19:13:58Z (GMT) No. of bitstreams: 1 DissertacaoEnvio.pdf: 1900582 bytes, checksum: 347a4791d6eeac1e6b4919e40e275ffa (MD5) / Made available in DSpace on 2017-08-31T12:32:24Z (GMT). No. of bitstreams: 1 DissertacaoEnvio.pdf: 1900582 bytes, checksum: 347a4791d6eeac1e6b4919e40e275ffa (MD5) Previous issue date: 2017-08-11 / The objective of this paper is to seek insights into the Great Recession, which started after the Financial Shock of 2008 and still casts a shadow on the growth of Developed Economies. Common features such as near zero interest rates, disappointing growth and low inflation - with a constant fear of deflation - have been observed in most of these countries in the last few years. The Secular Stagnation Hypothesis argues that the causes are a depressed demand, both for investments and finished products and services, and that to avoid a deflation trap governments should step in, helping economies reach their potential again. The Credit Supercycle Hypothesis puts the deleveraging cycle on focus: the large credit expansion that happened prior to the shock must be dealt with, through inflation, growth, restructuring or a combination of those, before economic agents go back to their normal behavior. The analysis of their main differences leads to the investigation of the credit cycle and its impact on productivity growth. Two approaches are used, with the time frame ranging from 1995 to 2014: a Vector Autoregressive (VAR) analysis focused on twenty developed countries and a Real Business Cycle analysis of the American Economy, both replicated from previous studies with similar focus, but different context. The results show the importance of credit formation to the growth of productivity, both directly and through fixed capital investment, and also that the low productivity growth on recent years may be not a symptom of slow technological improvement, but instead caused by the lack of credit access, notwithstanding the low interest rates and credit spreads. Policy makers overlooking this evidence might be surprised by an unforeseen rise in productivity growth after the financial system returns to a more normal behavior. / O objetivo deste artigo é buscar informações sobre a Grande Recessão, que começou após o Choque Financeiro de 2008 e ainda gera uma sombra sobre o crescimento das Economias Desenvolvidas. Características comuns, como taxas de juros próximas de zero, decepções de crescimento e baixa inflação - com um medo constante da deflação - foram observados na maioria desses países nos últimos anos. A Hipótese da Estagnação Secular argumenta que as causas é uma demanda deprimida, tanto para investimentos quanto para produtos e serviços finais, e para evitar uma armadilha de deflação, os governos devem intervir, ajudando as economias a alcançar seu potencial novamente. A Hipótese do Superciclo de Crédito coloca o processo de desalavancagem em foco: a grande expansão de crédito que aconteceu antes do choque deve ser tratada, por meio da inflação, crescimento, reestruturação ou uma combinação desses, antes que os agentes econômicos voltem ao seu comportamento normal. A análise das principais diferenças dessas hipóteses leva à investigação acerca do ciclo do crédito e seu impacto no crescimento da produtividade. São utilizadas duas abordagens, com o intervalo de tempo entre 1995 e 2014: um modelo Vetorial Autoregressivo (VAR) focado em vinte países desenvolvidos e uma análise de Ciclo Real de Negócios (Real Business Cycle) da economia americana, ambas replicadas de estudos anteriores que tinham foco semelhante, mas contexto diferente. Os resultados mostram a importância da formação de crédito para o crescimento da produtividade, tanto diretamente como através do investimento em capital fixo, e também que o baixo crescimento da produtividade nos últimos anos pode não ser um sintoma de melhoria tecnológica lenta, mas sim causado pela falta de acesso a crédito, não obstante as baixas taxas de juros e spreads de crédito. Ao negligenciar essas evidências formadores de políticas econômicas podem se surpreender com um aumento imprevisto do crescimento da produtividade após o sistema financeiro retornar a um comportamento mais normal.

Submitted by Cristiane Shirayama (cristiane.shirayama@fgv.br) on 2011-08-20T18:24:47Z No. of bitstreams: 1 TESE_CAIO CESAR MUSSOLINI.pdf: 657119 bytes, checksum: 255ea8ba1370490f062bc5487a79a09d (MD5) / Approved for entry into archive by Gisele Isaura Hannickel (gisele.hannickel@fgv.br) on 2011-08-22T12:12:58Z (GMT) No. of bitstreams: 1 TESE_CAIO CESAR MUSSOLINI.pdf: 657119 bytes, checksum: 255ea8ba1370490f062bc5487a79a09d (MD5) / Approved for entry into archive by Gisele Isaura Hannickel (gisele.hannickel@fgv.br) on 2011-08-22T12:25:32Z (GMT) No. of bitstreams: 1 TESE_CAIO CESAR MUSSOLINI.pdf: 657119 bytes, checksum: 255ea8ba1370490f062bc5487a79a09d (MD5) / Made available in DSpace on 2011-08-22T13:04:14Z (GMT). No. of bitstreams: 1 TESE_CAIO CESAR MUSSOLINI.pdf: 657119 bytes, checksum: 255ea8ba1370490f062bc5487a79a09d (MD5) Previous issue date: 2011-05-20 / This thesis aims to contribute with the debate regarding fiscal policy role on a macroeconomic level, from either the impact over short run output fluctuations and aggregate variables or the effect on long run growth and welfare. We focus on the productive government spending role. The short run analysis is based on a Real Business Cycle (RBC) model, where public capital is an additional input in the production function, along with private capital and labor, while the government keeps a balanced budget every period. The model captures quite well the high volatility of government spending (consumption and investment) and the procyclical behavior of the Brazilian fiscal policy, in the period 1950-2003. Subsequently, we estimate the main parameters that influence fiscal policy using bayesian methods. The fiscal variables (investment, consumption and tax rate) help in explaining the private variables behavior. The welfare analysis predicts that increasing government investment through lowering its consumption raises welfare, as well as reducing the tax rate. The long run analysis is based on an overlapping generations model with endogenous growth and public debt, where the government sector can choose between productive and nonproductive spending. The theoretical model‘s results indicate that the impact of productive government spending over long run growth depends negatively on debt size, tax burden and primary deficit, where a multiple equilibrium outcome is possible. In order to check the theoretical claims, we estimate a growth regression that depends on the productive spending and its interactions with the other fiscal variables for a heterogeneous sample of countries. Indeed, the main theoretical results are substantiated by the empirical analysis. / O objetivo desta tese é colaborar com a discussão sobre o papel da política fiscal em nível macroeconômico, seja em termos do impacto sobre as flutuações de curto prazo no produto e demais variáveis agregadas, ou no efeito que esta exerce sobre o crescimento e bem estar de longo prazo, sendo que uma atenção especial será dada ao papel dos gastos produtivos do governo. A análise de curto prazo é baseada em um modelo de Real Business Cycle (RBC) em que o capital público entra na função de produção como um insumo adicional ao capital privado e ao trabalho, sendo que o governo mantém o orçamento equilibrado a cada período. Os resultados indicam que o modelo consegue reproduzir bem a alta volatilidade dos gastos do governo e o caráter procíclico da política fiscal no Brasil, para o período de 1950 a 2003. Posteriormente, é feita a estimação dos principais parâmetros que influenciam a política fiscal pelo método bayesiano. As variáveis fiscais (investimento, consumo e taxa de impostos) ajudam a explicar boa parte do comportamento das variáveis privadas. Em termos de bem estar, o modelo prevê que aumentar o investimento do governo através de uma diminuição no consumo do mesmo gera um ganho de bem estar considerável, bem como reduções na taxa de impostos. A análise de longo prazo é baseada um modelo de gerações sobrepostas e crescimento endógeno com dívida pública, onde o governo executa gastos considerados produtivos e improdutivos. Os resultados do modelo teórico indicam que o impacto dos gastos produtivos do governo sobre o crescimento de longo prazo depende negativamente do tamanho da dívida, da carga tributária e do déficit primário, podendo ocorrer um cenário com equilíbrios múltiplos. De maneira a testar as predições teóricas, é estimada uma equação de crescimento em função do gasto produtivo e interações com as demais variáveis fiscais para uma amostra de países heterogêneos, e de fato, comprovam-se empiricamente os resultados do modelo teórico.

Submitted by Felix Sebastian Neugebauer (fexgebauer@gmail.com) on 2012-01-20T06:47:16Z No. of bitstreams: 1 Dissertacao MPGI - Felix Neugebauer.pdf: 917872 bytes, checksum: 216f642b7bdd46aac088024cf0610158 (MD5) / Approved for entry into archive by Suzinei Teles Garcia Garcia (suzinei.garcia@fgv.br) on 2012-01-20T10:27:30Z (GMT) No. of bitstreams: 1 Dissertacao MPGI - Felix Neugebauer.pdf: 917872 bytes, checksum: 216f642b7bdd46aac088024cf0610158 (MD5) / Made available in DSpace on 2012-01-20T11:15:05Z (GMT). No. of bitstreams: 1 Dissertacao MPGI - Felix Neugebauer.pdf: 917872 bytes, checksum: 216f642b7bdd46aac088024cf0610158 (MD5) Previous issue date: 2011-12-20 / The thesis introduces a system dynamics Taylor rule model of new Keynesian nature for monetary policy feedback in Brazil. The nonlinear Taylor rule for interest rate changes con-siders gaps and dynamics of GDP growth and inflation. The model closely tracks the 2004 to 2011 business cycle and outlines the endogenous feedback between the real interest rate, GDP growth and inflation. The model identifies a high degree of endogenous feedback for monetary policy and inflation, while GDP growth remains highly exposed to exogenous eco-nomic conditions. The results also show that the majority of the monetary policy moves during the sample period was related to GDP growth, despite higher coefficients of inflation parameters in the Taylor rule. This observation challenges the intuition that inflation target-ing leads to a dominance of monetary policy moves with respect to inflation. Furthermore, the results suggest that backward looking price-setting with respect to GDP growth has been the dominant driver of inflation. Moreover, simulation exercises highlight the effects of the new BCB strategy initiated in August 2011 and also consider recession and inflation avoid-ance versions of the Taylor rule. In methodological terms, the Taylor rule model highlights the advantages of system dynamics with respect to nonlinear policies and to the stock-and-flow approach. In total, the strong historical fit and some counterintuitive observations of the Taylor rule model call for an application of the model to other economies.

The role that banks as key intermediaries play in the modern economy activities is unquestionable, it is admitted that banks remain one of the key financial intermediaries that provide a variety of services in the economy of every state. However, not all financial intermediaries have a significant impact on modern economies, only a stable and profitable banking sector can adequately play the role of financial intermediary in economy. The bank, as an intermediary in the modern economy must be profitable, and this profitability depends on a number of factors that are referred to in this study as determinants of bank profitability. The effect of internal and external determinants of the bank profitability in South Africa is the main focus of this study. It utilized annual time series internal and external data for the period 2001 to 2013. Quantitative approach methodology using secondary data and panel data technique to measure the impact of the determinants was used in the study. The sample consists of nine banks, followed for 12 years and sampled annually. The results for bank-specific consist of four statistically significant variables such as bank size, non-interest income and non-interest expense and credit risk and four non-significant variables (equity capital, loan, saving deposit, fixe term deposit) also the industry-specific consist only one significant variable (market concentration) while macro-economic determinants consist of three non-significant variables (economic growth, inflation, and lending interest rate). In conclusion, the empirical result shows that the bank specific factors are directly controlled by the Management thereby it has a positive correlation to the bank profitability while the industry specific (market concentration) also positively affects the bank profitability. However, the macroeconomic variables which are beyond the scope of management control were non-significant to profitability but show positive sign. Therefore, the variables which are significant affect positively the bank profitability, and the non-significant variables affect the bank profitability negatively. The findings were consistent with mixed results found in prior literature. / Business Management / M. Com. (Business Management)

L'ampleur de la Grande Récession a suscité un regain d'intérêt pour l'analyse conjoncturelle, plus particulièrement du cycle économique. Notre thèse participe de ce renouveau d'attention pour l'étude des fluctuations économiques.Après une présentation générale des modèles à changements de régime dans le chapitre 1, le chapitre suivant propose une chronologie du cycle des affaires de l'économie française sur la période 1970-2009. Trois méthodes de datation sont utilisées à cette fin : la règle des deux trimestres consécutifs de croissance négative, l'approche non paramétrique de Bry et Boschan (1971) et le modèle markovien à changements de régime de Hamilton (1989). Les résultats montrent que l'existence de ruptures structurelles peut empêcher ce dernier modèle d'identifier correctement les points de retournement cycliques. Cependant, quandces ruptures sont prises en considération, le calendrier des récessions françaises obtenu à l'aide du modèle d'Hamilton coïncide largement avec celui obtenu par les deux autres méthodes. Le chapitre 3 développe une analyse de la non-linéarité dans le modèle à changements de régime en utilisant un ensemble de tests non-standards. Une étude par simulation Monte Carlo révèle qu'un test récemment proposé par Carrasco, Hu et Ploberger (2013) présente une faible puissance pour des processus générateurs des données empiriquement pertinents et ce, lorsqu'on tient compte de l'autocorrélation sous l'hypothèse nulle. En revanche, untest "bootstrap" paramétrique basé sur le rapport des vraisemblances a, pour sa part une puissance plus élevée, ce qui traduit l'existence probable de non-linéarités significatives dans le PIB réel trimestriel de la France et des Etats-Unis. Quand il s'agit de tester un changement de régime en moyenne ou en constante, il est important de tenir compte de l'autocorrélation sous l'hypothèse nulle de linéarité. En effet, dans le cas contraire, un rejet de la linéarité pourrait simplement refléter une mauvaise spécification de la persistance des données, plutôt que d'une non-linéarité inhérente.Le chapitre 4 examine une question importante : la considération de ruptures structurelles dans les séries améliore-t-elle la performance prédictive du modèle markovien relativement à son homologue linéaire ? La démarche adoptée pour y répondre consiste à combiner les prévisions obtenues pour différentes périodes d'estimation. Voici le principal résultat dû à l'application de cette démarche : la prise en compte des données provenant des intervalles de temps précédant les ruptures structurelles et la "Grande Modération" améliore les prévisions basées sur des données tirées exclusivement de ces épisodes. De la sorte, les modèles à changements de régime s'avèrent capables de prédire la probabilité d'événements tels que la Grande Récession, avec plus de précision que ses homologues linéaires.Les conclusions générales synthétisent les principaux acquis de la thèse et évoqueplusieurs perspectives de recherche future. / The severity of the Great Recession has renewed interest in the analysis of business cycles. Our thesis pertains to this revival of attention for the study of cyclical fluctuations. After reviewing the regime-switching models in Chapter one, the following chapter suggests a chronology of the classical business cycle in French economy for the 1970-2009 period. To that end, three dating methodologies are used: the rule of thumb of two consecutive quarters of negative growth, the non-parametric approach of Bry and Boschan (1971), and the Markov-switching approach of Hamilton (1989). The results show that,omitted structural breaks may hinder the Markov-switching approach to capture business-cycle fluctuations. However, when such breaks are allowed for, the timing of the French recessions provided by the Markov-switching model closely matches those derived by the rule-based approaches.Chapter 3 performs a nonlinearity analysis inMarkov-switching modelling using a set of non-standard tests. Monte Carlo analysis reveals that a recently test proposed by Carrasco, Hu, and Ploberger (2013) for Markov switching has low power for empirically-relevant data generating processes when allowing for serial correlation under the null. By contrast, a parametric bootstrap likelihood ratio (LR) test of Markov switching has higher power in the same setting, providing stronger support for nonlinearity in quarterly French and U.S. real GDP. When testing for Markov switching in mean or intercept of an autoregressive process, it is important to allow for serial correlation under the null hypothesis of linearity.Otherwise, a rejection of linearity could merely reflect misspecification of the persistence properties of the data, rather than any inherent nonlinearity.Chapter 4 examines whether controlling for structural breaks improves the forecasting performance of the Markov-switching models, as compared to their linear counterparts.The approach considered to answer this issue is to combined forecasts across different estimation windows. The outcome of applying such an approach shows that, including data from periods preceding structural breaks and particularly the "Great Moderation" improves upon forecasts based on data drawn exclusively from these episodes. Accordingly, Markov-switching models forecast the probability of events such as the Great Recession more accurately than their linear counterparts.The general conclusions summarize the main results of the thesis and, suggest several directions for future research.

L'évaluation des coûts et des avantages du système de banque centrale dépend fondamentalement de l'approche analytique adoptée. Les approches instrumentalistes et positivistes, discutées dans la première partie de cette thèse, se concentrent principalement sur l'importance des prédictions empiriques quantitatives. Ces approches tendent à mettre l'accent sur les conséquences immédiates et facilement mesurables. Les effets bénéfiques de court-terme des politiques monétaires expansionnistes sont ainsi étudiés en détail par les partisans de ces approches. Les critiques internes de ces dernières sont basées sur la reconnue ignorance des potentiels effets secondaires déstabilisateurs. Les coûts engendrés par les banques centrales sont vus principalement comme une perte de bien être due à une activité économique diminuée où une inflation des prix trop élevée résultant d'une déviation vis-à-vis de la politique monétaire optimale. L'approche causale-réaliste, étudiée dans la deuxième partie, donne un rôle plus restreint à la méthode empirique quantitative. Cette ligne de recherche permet une extension fructueuse de l'analyse coûts bénéfices à des notions plus abstraites qui peuvent être étudiées qualitativement tels le risque systémique et l'aléa moral. Cette étude défend que le régime moderne de banque centrale a alimenté le développement de ces deux phénomènes. Nous analysons comment la récurrence du cycle économique et la redistribution de la richesse au profit des plus aisés sont des effets importants de l'expansion du crédit. Une explication alternative de la stagflation basée sur le processus de l'intervention politique en réponse à ces conséquences inattendues est proposée. / The evaluation of the costs and benefits of central banking is to a considerable degree dependent on the analytical approach pursued.Instrumentalist-positivist approaches, as discussed in the first part of the thesis, emphasize the importance of empirical-quantitativepredictions for the development of economic models. Within this line of research, there exists a strong emphasis on those consequences of central banking that have an immediate and readily measurable empirical counterpart in the observed economic environment.Hence, the beneficial short-term effects of expansionary monetary policy in terms of increased economic activity are studied in detail and are well understood by proponents of these approaches. Internal counterarguments are based on acknowledged ignorance about potentially destabilizing side-effects. The costs of central banking are essentially seen as welfare losses from decreasedeconomic activity or excessive price inflation as results of deviations from an optimal monetary policy path. The causal- realist approach, as studied in the second part, assigns a narrower role to quantitative-empirical tools of analysis. This line of research allows for a fruitful extension of the cost-benefit analysis to more abstract notions such as systemic risk and moral hazard that can be analyzed qualitatively. It is argued that modern central banking is a contributing factor to both. Moreover, business cycles and wealth redistribution from bottom to top as important effects of credit expansion are analyzed. An alternative explanation of stagflation based on the process of political interventionism in response to unintended consequences of monetary policy is proposed.

The aim of thesis is to analyze the development of the national economy of Iceland in the period 1994-2013. In addition to the reasons for the collapse of the banking sector thesis examines the way the state handled the situation. The theoretical part deals with the theory of the national economy, the characteristics of the main macroeconomic aggregates, the current banking system and selected theories of the business cycle. The practical part presents economic and political characteristics of Iceland. It is followed by main analysis divided into two periods, each of which contains an analysis of the legal framework, institutional provision, development of key macroeconomic aggregates and a separate chapter devoted to the development of the banking sector. Research suggests that the overheating of the economy occurred due to the extreme expansion of the banking sector, expansionary fiscal policy and inappropriate monetary policy of the central bank. The State had to seek the help of the International Monetary Fund during the crisis. There has been introduction of capital controls to stabilize the exchange rate. The state let the banking sector go bankrupt and created new domestic banks. Subsequently fiscal indicators were stabilized, but not at the expense of the needy and households. The business cycle in Iceland is best described by the Financial instability hypothesis.

The thesis describes and analyses the problem of the global financial and economic crisis and its influence on the Russian economy. It constitutes a synthesis of main approaches to the crisis' examination from the years 2008-2011 and develops its own theoretical model for explaining the crisis' emergence and spreading in an open economy, and also analyses in detail the state of the Russian economy and anti-crisis measures. The thesis is based on assumptions that the crisis could have been explained and foreseen theoretically with the help of macroeconomic models, that the anti-crisis policy was in majority of cases inefficient, and that the problems of the Russian economy were caused not only by the global recession, but also by its internal imbalances. On the methodological side, the thesis is based on the ideas of the Austrian and Keynesian economics (the Austrian business cycle model and post- and neo-Keynesian branches) and the financial crises economics and partly on selected thoughts of the Marxian economics, and is divided into four chapters. In the first chapter, the attention is given to the four main heterodox theoretical approaches to explaining financial and economic crises and to the development of a synthetic model. In the second chapter, the reasons, course and main previsions of the U.S. and global crisis are examined and the synthetic model from the first chapter is empirically tested. In the third chapter, the degree of the crisis' influence on different groups of countries is estimated, followed by a description of its main transmission channels and an analysis of anti-crisis measures at the global level. The fourth chapter is dedicated to the specifics of the Russian economy, its development during the crisis and to the anti-crisis policy of the Russian government and of the Central Bank of Russia. The thesis attempts to fill the gap in the existing economic literature by presenting new findings in the above-mentioned areas.

The submitted thesis is composed of three different articles dealing with issues of financial innovation, credit constraints, and their impact on welfare. The first article treats the contemporary theoretical grasp of the interaction between the financial and real economies, focusing primarily on the role of modern financial innovation in the business cycle. For this purpose, a framework promoted by the Regulation School and Post Keynesians is frequently employed, whilst some other unorthodox streams and mainstream economics are partially discussed as well. All of them aspire -- either per se or under the pressure of the contemporary economic agenda -- to clarify the evolution of financial innovation and credit in the recent era. It is generally found that certain consensus across the schools of economic thought exists, but some of them have done a better job in predicting the consequences of the financial innovation for real economic activity than others. Further, two dynamic macroeconomic models are developed in order to, inter alia, identify the possible effects of extended credit availability presented in the former article on the example of the housing market, and simulate the effects of housing price changes on general welfare. Clearly, this part of the thesis exhibits the indirect consequences of financial innovation as, once again, being rather ambiguous: after having partially unleashed the unprecedented credit granting in the economy, impacting interest rates and loan-to-value ratios, with a subsequent impact on housing prices, it has also influenced credit constrained and unconstrained households in a different manner. Based on an analysis of the situation using partial and general equilibrium analytical frameworks, two somewhat different conclusions are drawn up with respect to the occurrence of various shocks in the models. Under the partial equilibrium framework the effects of relaxation of credit constraints are visible and quite straightforward, indicating relatively simple and intuitive relationship between the price appreciation and general welfare. This is primarily perspicuous for the credit constrained households. In the general equilibrium framework, on the other hand, the transitional dynamics of shock proliferation is more transparent and the impact on credit constrained vs. unconstrained households is more ambiguous and much different from the basic intuition used in the article anchored in the partial equilibrium toolbox.

The thesis focuses on the issue of individuals' preferences regarding the acquisition of a child during the business cycle expressed in unemployment rates for men and women. Fixed effects model involving robust estimates of standard deviations on a panel dataset tested for the period 1980-2012 confirmed the significance of the relationship between sex-specific unemployment rates and fertility rate of the United States of America. The results of the analysis show a negative relationship documenting pro-cyclical nature of the fertility. There is a less willingness of couples to conceive a child with the growth in unemployment. It does not show the prevalence of substitution effect of reducing opprtunity costs for women during the recession over the effect of reduction in income. Among other statistically significant variables that affect fertility belong the degree of attainment of university education, the poverty rate and abortion rate.