Speculative attacks, openness and crises

In this paper we propose a dynamic stochastic general equilibrium model to evaluate financial adjustments that some emerging market economies went through to overcome external crises during the latest decades, such as default and local currency devaluation. We assume that real devaluation can be used to avoid external debt default, to improve trade balance and to reduce the real public debt level denominated in local currency. Such effects increase the government ability to deal with external crisis, but also have costs in terms of welfare, related to expected inflation, reductions in private investments and higher interest to be paid over the public debt. We conclude that openness improves expected welfare as it allows for a better devaluation-response technology against crises. We also present results for 32 middle-income countries, verifying that the proposed model can indicate, in a stylized way, the preferences for default-devaluation options and the magnitude of the currency depreciation required to overcome 48 external crises occurred as from 1971. Finally, as we construct our model based on the Cole-Kehoe self-fulfilling debt crisis model ([7]), adding local debt and trade, it is important to say that their policy alternatives to leave the crisis zone remains in our extended model, namely, to reduce the external debt level and to lengthen its maturity.

A evolução da produtividade total de fatores na economia brasileira: uma análise do período pós-real

A presente pesquisa aplica o modelo de fronteira estocástica de produção para as indústrias de transformação e da construção civil, assim como para o comércio e os serviços no Brasil, de forma a identificar as fontes de crescimento dos principais setores de atividade da economia brasileira, quais sejam: acumulação de capital físico, emprego da mão-de-obra, e produtividade total de fatores (PTF). Conforme Kumbhakar (2000), a evolução da PTF é decomposta em progresso técnico, mudanças da eficiência técnica, mudanças da eficiência alocativa e efeitos de escala. O estudo parte de dados de 1996 a 2000 das principais pesquisas anuais do IBGE realizadas com firmas: PAIC, PIA, PAC e PAS.

Equidade educacional no Brasil: análise das oportunidades educacionais em 2001 e 2011

Esta tese tem por objetivo analisar a equidade educacional no Brasil, em 2001 e 2011. Para tanto, avaliarei as oportunidades dos alunos de terem professores mais qualificados, verificando a evolução por gênero, cor/raça e nível socioeconômico. O referencial teórico da tese divide-se em duas partes: o debate sobre equidade e a discussão sobre a importância da escola e de seus recursos e processos internos. Na primeira parte, apresento diversas perspectivas sobre equidade e proponho a divisão do campo em três linhas, além de inserir o debate num contexto mais amplo sobre justiça social. Utilizarei, nesta pesquisa, a abordagem pluralista, que entende equidade como um termo que engloba recursos, processos e resultados. Na segunda parte, trato da importância da escola para o desempenho dos alunos a partir da apresentação de pesquisas que comprovam que as escolas são peças fundamentais para o desempenho dos alunos, principalmente em países desiguais. Dentre os recursos e processos escolares, verifica-se que os professores têm o maior impacto sobre as notas – e, portanto, são capazes de trazer maior contribuição para políticas educacionais equitativas. O debate sobre a importância da escola e dos professores para o desempenho dos alunos é particularmente relevante no Brasil, onde a literatura demonstra um grande impacto das escolas e dos professores sobre os resultados escolares, atrelado a uma enorme desigualdade na distribuição dos recursos. Feita a discussão teórica, apresento o modelo elaborado para analisar a equidade no Brasil, em 2001 e 2011. Desenvolvi um modelo logístico para determinar as oportunidades de um aluno ter professores mais qualificados – classificados, neste trabalho, a partir de quatro características: diploma de ensino superior, pós-graduação, experiência em sala de aula e que faça a cobertura do currículo. São apresentadas duas especificações do modelo: simples, que contém apenas características dos alunos como variáveis independentes; e completa, que, além das características dos alunos, inclui informações sobre os estados, sobre o tipo de rede (privada ou pública) e sobre a localidade (rural ou urbana). As análises são conduzidas para o 5º e 9º ano, em 2001 e 2011, utilizando os dados do SAEB de Língua Portuguesa e Matemática. Os resultados apontam para quatro conclusões importantes: em primeiro lugar, o nível socioeconômico mostrou-se mais relevante na determinação das oportunidades educacionais em comparação à cor/raça ou gênero dos alunos; em segundo lugar, há semelhança nas tendências de desempenho do 5º e 9º anos, com a identificação de três padrões de evolução das oportunidades educacionais; em terceiro lugar, verifica-se que o impacto das características observáveis dos professores sobre a proficiência dos alunos mudou de 2001 a 2011, em decorrência das políticas de incentivo à escolarização docente; por fim, verifica-se grande heterogeneidade dentre os estados brasileiros, com os estados das regiões Sul e Sudeste garantindo maior oportunidade educacional aos alunos. Com base nestes resultados, aponto, nas considerações finais, para três pilares presentes em países mais equitativos: a definição de padrões mínimos de recursos e processos; a adoção de políticas compensatórias e a discriminação positiva na distribuição dos recursos; e, por fim, o investimento nos professores.

Productivity of nations: a stochastic frontier approach to TFP decomposition

This Paper Tackles the Problem of Aggregate Tfp Measurement Using Stochastic Frontier Analysis (Sfa). Data From Penn World Table 6.1 are Used to Estimate a World Production Frontier For a Sample of 75 Countries Over a Long Period (1950-2000) Taking Advantage of the Model Offered By Battese and Coelli (1992). We Also Apply the Decomposition of Tfp Suggested By Bauer (1990) and Kumbhakar (2000) to a Smaller Sample of 36 Countries Over the Period 1970-2000 in Order to Evaluate the Effects of Changes in Efficiency (Technical and Allocative), Scale Effects and Technical Change. This Allows Us to Analyze the Role of Productivity and Its Components in Economic Growth of Developed and Developing Nations in Addition to the Importance of Factor Accumulation. Although not Much Explored in the Study of Economic Growth, Frontier Techniques Seem to Be of Particular Interest For That Purpose Since the Separation of Efficiency Effects and Technical Change Has a Direct Interpretation in Terms of the Catch-Up Debate. The Estimated Technical Efficiency Scores Reveal the Efficiency of Nations in the Production of Non Tradable Goods Since the Gdp Series Used is Ppp-Adjusted. We Also Provide a Second Set of Efficiency Scores Corrected in Order to Reveal Efficiency in the Production of Tradable Goods and Rank Them. When Compared to the Rankings of Productivity Indexes Offered By Non-Frontier Studies of Hall and Jones (1996) and Islam (1995) Our Ranking Shows a Somewhat More Intuitive Order of Countries. Rankings of the Technical Change and Scale Effects Components of Tfp Change are Also Very Intuitive. We Also Show That Productivity is Responsible For Virtually All the Differences of Performance Between Developed and Developing Countries in Terms of Rates of Growth of Income Per Worker. More Important, We Find That Changes in Allocative Efficiency Play a Crucial Role in Explaining Differences in the Productivity of Developed and Developing Nations, Even Larger Than the One Played By the Technology Gap

Stochastic growth and monetary policy: the impacts on the term structure of interest rates

This paper builds a simple, empirically-verifiable rational expectations model for term structure of nominal interest rates analysis. It solves an stochastic growth model with investment costs and sticky inflation, susceptible to the intervention of the monetary authority following a policy rule. The model predicts several patterns of the term structure which are in accordance to observed empirical facts: (i) pro-cyclical pattern of the level of nominal interest rates; (ii) countercyclical pattern of the term spread; (iii) pro-cyclical pattern of the curvature of the yield curve; (iv) lower predictability of the slope of the middle of the term structure; and (v) negative correlation of changes in real rates and expected inflation at short horizons.

DSGE model with banking sector for emerging economies : estimated using Bayesian methodology for Brazil

Economias emergentes sofrem importantes restrições de crédito quando comparadas com economias desenvolvidas, entretanto, modelos estocásticos de equilíbrio geral (DSGE) desenhados para economias emergentes ainda precisam avançar nessa discussão. Nós propomos um modelo DSGE que pretende representar uma economia emergente com setor bancário baseado em Gerali et al. (2010). Nossa contribuição é considerar uma parcela da renda esperada como colateral para empréstimos das famílias. Nós estimamos o modelo proposto para o Brasil utilizando estimação Bayesiana e encontramos que economias que sofrem restrição de colateral por parte das famílias tendem a sentir o impacto de choques monetários mais rapidamente devido a exposição do setor bancário a mudanças no salário esperado.

Hedging options in a garch environment: testing the term structure of stochastic volatility models

This paper develops a methodology for testing the term structure of volatility forecasts derived from stochastic volatility models, and implements it to analyze models of S&P500 index volatility. U sing measurements of the ability of volatility models to hedge and value term structure dependent option positions, we fmd that hedging tests support the Black-Scholes delta and gamma hedges, but not the simple vega hedge when there is no model of the term structure of volatility. With various models, it is difficult to improve on a simple gamma hedge assuming constant volatility. Ofthe volatility models, the GARCH components estimate of term structure is preferred. Valuation tests indicate that all the models contain term structure information not incorporated in market prices.

Simulation-based smoothing and filtering in factor stochastic volatility models : two econometric applications

In this article we use factor models to describe a certain class of covariance structure for financiaI time series models. More specifical1y, we concentrate on situations where the factor variances are modeled by a multivariate stochastic volatility structure. We build on previous work by allowing the factor loadings, in the factor mo deI structure, to have a time-varying structure and to capture changes in asset weights over time motivated by applications with multi pIe time series of daily exchange rates. We explore and discuss potential extensions to the models exposed here in the prediction area. This discussion leads to open issues on real time implementation and natural model comparisons.

Simulation -based smoothing and filtering in factor stochastic volatility models : two econometric applications (July-2001)

The past decade has wítenessed a series of (well accepted and defined) financial crises periods in the world economy. Most of these events aI,"e country specific and eventually spreaded out across neighbor countries, with the concept of vicinity extrapolating the geographic maps and entering the contagion maps. Unfortunately, what contagion represents and how to measure it are still unanswered questions. In this article we measure the transmission of shocks by cross-market correlation\ coefficients following Forbes and Rigobon's (2000) notion of shift-contagion,. Our main contribution relies upon the use of traditional factor model techniques combined with stochastic volatility mo deIs to study the dependence among Latin American stock price indexes and the North American indexo More specifically, we concentrate on situations where the factor variances are modeled by a multivariate stochastic volatility structure. From a theoretical perspective, we improve currently available methodology by allowing the factor loadings, in the factor model structure, to have a time-varying structure and to capture changes in the series' weights over time. By doing this, we believe that changes and interventions experienced by those five countries are well accommodated by our models which learns and adapts reasonably fast to those economic and idiosyncratic shocks. We empirically show that the time varying covariance structure can be modeled by one or two common factors and that some sort of contagion is present in most of the series' covariances during periods of economical instability, or crisis. Open issues on real time implementation and natural model comparisons are thoroughly discussed.

Stochastic discount factor bounds and rare events: a review

We aim to provide a review of the stochastic discount factor bounds usually applied to diagnose asset pricing models. In particular, we mainly discuss the bounds used to analyze the disaster model of Barro (2006). Our attention is focused in this disaster model since the stochastic discount factor bounds that are applied to study the performance of disaster models usually consider the approach of Barro (2006). We first present the entropy bounds that provide a diagnosis of the analyzed disaster model which are the methods of Almeida and Garcia (2012, 2016); Ghosh et al. (2016). Then, we discuss how their results according to the disaster model are related to each other and also present the findings of other methodologies that are similar to these bounds but provide different evidence about the performance of the framework developed by Barro (2006).

Private label supply chains: a model for competitiveness?

The search for efficiency in supply chains has usually focused on logistic optimization aspects. Initiatives like the ECR are an example. This research questions the appropriateness of this focus comparing detailed cost structures of fifteen consumer products, covering five different product categories. It compares supply chains of private label products, presumably more efficient due to closer collaboration between chain members, to national brands supply chains. The major source of cost differences lies in other indirect costs incurred by the national brands and not directly assignable to advertising. Results indicate that a complete reconception of the supply chain, exploring different governance structures offers greater opportunities for cost savings than the logistic aspect in isolation. Research was done in the UK in 1995-1997, but results are only now publishable due to confidentiality agreements