Job destruction and propagation of shocks

We develop and quantitatively implement a dynamic general equilibrium model with labor market matching and endogenous deterllÚnation of the job destruction rate. The mo deI produces a elose match with data on job creation and destruction. Cyelical fluctuations in the job destruction rate serve to magnify the effects of productivity shocks on output; as well as making the effects much more persistent. Interactions between the labor and capital markets, mediated by the rental rate of capital, play the central role in propagating shocks.

Infrastructure privatization in a neoclassical economy: macroeconomic impact and welfare computation

In this paper a competi tive general equilibrium model is used to investigate the welfare and long run allocation impacts of privatization. There are two types of capital in this model economy, one private and the other initially public ("infrastructure"), and a positive extemality due to the latter is assumed. A benevolent governrnent can improve upon decentralized allocation intemalizing the extemality, but it introduces distortions in the economy through the finance of its investments. It is shown that even making the best case for public action - maximization of individuais' welfare, no operation inefficiency and free supply to society of infrastructure services - privatization is welfare improving for a large set of economies. Hence, arguments against privatization based solely on under-investment are incorrect, as this maybe the optimal action when the financing of public investment are considered. When operation inefficiency is introduced in the public sector, gains from privatization are much higher and positive for most reasonable combinations of parameters.

City sizes and industry concentration

In a general equilibrium model of trade under transportation costs between two cities we show how the relative population sizes are simultaneously determined with the degree of geographic concentration of industries characterized by different elasticities of scale of production. The effect on city size of the presence of nontraded goods is also analyzed .

Does liquidity constraints matter for Ricardian equivalence?

The paper analysis a general equilibrium model with two periods, several households and a government that has to finance some expenditures in the first period. Households may have some private information either about their type (adverse selection) or about some action levei chosen in the first period that affects the probability of certain states of nature in the second period (moral hazard). Trade of financiai assets are intermediated by a finite collection of banks. Banks objective functions are determined in equilibrium by shareholders. Due to private information it may be optimal for the banks to introduce constraints in the set of available portfolios for each household as wellas household specific asset prices. In particular, households may face distinct interest rates for holding the risk-free asset. The government finances its expenditures either by taxing households in the first period or by issuing bonds in the first period and taxing households in the second period. Taxes may be state-dependent. Suppose government policies are neutml: i) government policies do not affect the distribution of wealth across households; and ii) if the government decides to tax a household in the second period there is a portfolio available for the banks that generates the Mme payoff in each state of nature as the household taxes. Tben, Ricardian equivalence holds if and only if an appropriate boundary condition is satisfied. Moreover, at every free-entry equilibrium the boundary condition is satisfied and thus Ricardian equivalence holds. These results do not require any particular assumption on the banks' objective function. In particular, we do not assume banks to be risk neutral.

Stabilization, volatility and the equilibrium real exchange rate

In a general equilibrium model. we show that the value of the equilibrium real exchange rate is affected by its own volatility. Risk averse exporters. that make their exporting decision before observing the realization of the real exchange rate. choose to export less the more volatile is the real exchange rate. Therefore the trude balance and the variance of the real exchange rate are negatively related. An increase in the volatility of the real exchange rate for instance deteriorates the trade balance and to restore equilibrium a real exchange rate depreciation has to take place. In the empirical part of the paper we use the traditional (unconditional) standard deviation of RER changes as our measure of RER volatility.We describe the behavior of the RER volatility for Brazil,Argentina and Mexico.Monthly data for the three countries are used. and also daily data for Bruzil. Interesting patterns of volatility could be associated to the nature of the several stabilization plans adopted in those countries and to changes in the exchange rate regimes .

Welfare and growth effects of alternative fiscal rules for infrastructure investment in Brazil

This article studies the interplay between fiscal rules, public investment and growth in Brazil. It is investigated if it would make sense to raise public investment and, if so, under which fiscal rule it is best to do it — whether through tax financing, debt financing, or a reduction of public consumption. We construct and simulate a competitive general equilibrium model, calibrated to Brazilian economy, in which public capital is a component of the production function and public consumption directly affects individuals’ well-being. After assessing the impacts of alternative fiscal rules, the paper concludes that the most desirable financing scheme is the reduction of public consumption, which dominates the others in terms of output and welfare gains. The model replicates the observed growth slowdown of the Brazilian economy when we increase taxes and reduce public capital formation to the levels observed after 1980 and shows that the growth impact of the expansion of tax collection in Brazil was much larger than that of public investment compression.

Business cycles in emerging economies : the role of interest rates

This paper documents the empirical relation between the interest rates that emerging economies face in international capital markets and their business cycles. It shows that the patterns observed in the data can be interpreted as the equilibrium of a dynamic general equilibrium model of a small open economy, in which (i) firms have to pay for a fraction of the input bill before production takes place, and (ii) preferences generate a labor supply that is independent of the interest rate. In our sample, interest rates are strongly countercyclical, strongly positively correlated with net exports, and they lead the cycle. Output is very volatile and consumption is more volatile than output. The sample includes data for Argentina during 1983-2000 and for four other large emerging economies, Brazil, Mexico, Korea, and Philippines, during 1994-2000. The model is calibrated to Argentina’s economy for the period 1983-1999. When the model is fed with actual US interest rates and the actual default spreads of Argentine sovereign interest rates, interest rates alone can explain forty percent of output fluctuations. When simulated technology shocks are added to the model, it can account for the main empirical regularities of Argentina’s economy during the period. A 1% increase in country risk causes a contemporaneous fall in output of 0.5 ’subsequent recovery. An increase in US rates causes output to fall by the same on impact and by almost 2% two years after the shock. The asymetry in the effect of shocks to US rates and country risk is due to the fact that US interest rates are more persistent than country risk and that there is a significant spillover effect from US interest rates to country risk.

Análise econômica da reforma fiscal do PIS e da COFINS: integrando um modelo de micro-simulação com um modelo de equilíbrio geral computável

Neste texto é apresentado o relatório final do projeto 561/06, “Análise Econômica da Reforma Fiscal do PIS-COFINS: Integrando um modelo de micro-simulação com um Modelo de Equilíbrio Geral Computável”. Essencialmente trata-se de uma extensão metodológica do projeto 461/04, visando um aprimoramento da quantificação dos impactos sobre indicadores de bem estar, particularmente pobreza e desigualdade. Além do modelo de Equilíbrio Geral, busca-se uma integração com um modelo de micro-simulação, baseado nas pesquisas domiciliares com o intuito de aprofundar e identificar o impacto que a reforma fiscal teve sobre indivíduos e famílias brasileiras, fazendo com estes sejam identificados com uma precisão muito maior, na medida em que a pesquisa anterior permitia apenas a identificação de um agrupamento representativo da população brasileira, enquanto esta permite a integração no modelo das amostras individuais presentes na PNAD. Os resultados apresentados são sensíveis a nova metodologia utilizada.

Terms of trade, macroeconomic dynamics and default decisions

A evidência empírica aponta que Termos de Troca é uma variável relevante tanto para dinâmica macroeconômica como para o risco de default em países emergentes. No entanto, a literatura de dívida soberana baseada nos trabalhos de Eaton e Gerzovitz (1981) e Arellano (2008) ainda não explorou de forma adequada as conecções entre a dinâmica de termos de troca e incentivos ao default. Nós contribuímos nessa área, introduzindo volatilidade de Termos de Troca no modelo proposto por Mendoza e Yue (2012), no qual as decisões de dívida soberana são vinculadas à um modelo de equilíbrio geral para a economia doméstica. Nós encontramos que uma economia exposta à volatilidade dos termos de troca consegue produzir uma variabilidade do consumo que supera significativamente a variabilidade do produto, característica que constitui um fato estilizado chave de business cycles de países emergentes. Nossos exercícios também mostram que decisões de default são geradas por mudanças bruscas nos termos de troca, mas não necessariamente estão vinculados à estados ruins da economia.

The long term effects of Bolsa Família on child labour and school enrolment

In this paper we study the e ects of conditional cash transfers in school enrolment and tackling child labour. We develop a dynamic heterogeneous agent general equilibrium model, where households face a set of tradeo s while allocating their children's time in leisure activities, schooling and working. We calibrate the model using data from the Brazilian survey PNAD, before the policy was implemented, in order to quantify the e ects of a conditional transfer. We then evaluate the results of a policy experiment that implements a conditional cash transfer scheme similar to the Brazilian Bolsa Fam lia. Our results suggest that the program, in the long term, is able to substantially increase school registration and reduce child labour and poverty. In addition, we nd out that a progressive conditional cash transfer results is even more e ective in tackling child labour and increasing school enrolment.

The long term effects of Bolsa Família on child labour and school enrollment

Neste trabalho, estudamos os impactos de transfer^encias condicionais de renda sobre o trabalho e a educa c~ao infantis. Para tanto, desenvolvemos modelo din^amico de equil brio geral com agentes heterog^eneos, onde as fam lias enfrentam tradeo s com rela c~ao a aloca c~ao de tempo das crian cas em atividades de lazer, em escolaridade e em trabalhar. O modelo e calibrado usando dados da Pesquisa Nacional por Amostra em Domic lios, de modo que podemos quanti car os efeitos de uma pol tica de transfer^encia de renda. Finalmente, avaliamos o impacto de um pol tica semelhante ao atual Bolsa Fam lia. Nossos resultados sugerem que o programa, no longo prazo, e capaz de induzir um aumento substancial na escolaridade, al em de ser efetivo na redu c~ao do trabalho infantil e da pobreza. Al em disso, mostramos que um programa progressivo de transfer^encia condicional de renda resulta em benef cios ainda maiores.

Impactos econômicos da nova realidade da exploração do pré-sal. Existe uma ameaça ao etanol?

A partir de meados dos anos 2000, a produção brasileira de etanol voltou a prosperar. Enquanto isso, em 2007 foi anunciada a descoberta de grandes reservas de petróleo na camada pré-sal no litoral brasileiro. Com isso, a perspectiva promissora para a indústria brasileira de etanol começou a dar lugar ao desenvolvimento de petróleo do pré-sal com um ambicioso programa de investimentos. Além disso, entre 2011 e 2014 o Governo adotou uma nova política de preços domésticos da gasolina e diesel, com o objetivo de reduzir as pressões inflacionárias, mas reduzindo gradualmente a competitividade do etanol, além de comprometer a situação financeira da Petrobras, dificultando investimentos no pré-sal. Considerando tais desafios e a importância dos setores de petróleo e etanol para a economia brasileira, este estudo tem como objetivo avaliar os impactos econômicos de longo prazo da exploração do pré-sal, com especial atenção para as consequências sobre o setor de etanol. É realizada uma avaliação dos impactos da política de controle do preço da gasolina do período 2011-2014 sobre o setor de etanol. Um modelo adaptado de equilíbrio geral dinâmico recursivo é empregado no qual o setor do petróleo do pré-sal é adicionado como uma tecnologia backstop. Os resultados sugerem que o estímulo precoce da produção do pré-sal para alcançar a produção de petróleo esperada pelo Governo traz mais custos do que benefícios para a economia brasileira. Constatou-se que sem interferência do governo, a produção de petróleo do pré-sal torna-se competitiva somente após 2025-2035. Com relação ao impacto sobre a indústria do etanol, verificou-se que o desenvolvimento do pré-sal não enfraquece a produção brasileira de etanol. No entanto, a política de controle de preço da gasolina teve um impacto negativo sobre o setor de etanol.

Comparison of non-linear growth models to describe the growth curve in West African Dwarf sheep

The objectives of this study were to compare the goodness of fit of four non-linear growth models, i.e. Brody, Gompertz, Logistic and Von Bertalanffy, in West African Dwarf (WAD) sheep. A total of 5274 monthly weight records from birth up to 180 days of age from 889 lambs, collected during 2001 to 2004 in Betecoucou breeding farm in Benin were used. In the preliminary analysis, the General Linear Model Procedure of the Statistical Analysis Systems Institute was applied to the dataset to identify the significant effects of the sex of lamb (male and female), type of birth (single and twin), season of birth (rainy season and dry season), parity of dam (1, 2 and 3) and year of birth (2001, 2002, 2003 and 2004) on the observed birth weight and monthly weight up to 6 months of age. The models parameters (A, B and k), coefficient of determination (112), mean square error (MSE) were calculated using language of technical computing package Matlab(R), 2006. The mean values of A, B and k were substituted into each model to calculate the corresponding Akaike's Information Criterion (AIC). Among the four growth functions, the Brody model has been selected for its accuracy of fit according to the higher R(2), lower MSE and A/C Finally, the parameters A, B and k were adjusted in Matlab(R) 2006 for the sex of lamb, year of birth, season of birth, birth type and the parity of ewe, providing a specific slope of the Brody growth curve. The results of this study suggest that Brody model can be useful for WAD sheep breeding in Betecoucou farm conditions through growth monitoring.

Estudo e implementação de um controlador preditivo generalizado bilinear compensado adaptativo

The present work presents the study and implementation of an adaptive bilinear compensated generalized predictive controller. This work uses conventional techniques of predictive control and includes techniques of adaptive control for better results. In order to solve control problems frequently found in the chemical industry, bilinear models are considered to represent the dynamics of the studied systems. Bilinear models are simpler than general nonlinear model, however it can to represent the intrinsic not-linearities of industrial processes. The linearization of the model, by the approach to time step quasilinear , is used to allow the application of the equations of the generalized predictive controller (GPC). Such linearization, however, generates an error of prediction, which is minimized through a compensation term. The term in study is implemented in an adaptive form, due to the nonlinear relationship between the input signal and the prediction error.Simulation results show the efficiency of adaptive predictive bilinear controller in comparison with the conventional.

Recuperação e purificação de quitosanases usando adsorção em leito expandido com streamline DEAE com modelagem e simulação usando redes neurais

Expanded Bed Adsorption (EBA) is an integrative process that combines concepts of chromatography and fluidization of solids. The many parameters involved and their synergistic effects complicate the optimization of the process. Fortunately, some mathematical tools have been developed in order to guide the investigation of the EBA system. In this work the application of experimental design, phenomenological modeling and artificial neural networks (ANN) in understanding chitosanases adsorption on ion exchange resin Streamline® DEAE have been investigated. The strain Paenibacillus ehimensis NRRL B-23118 was used for chitosanase production. EBA experiments were carried out using a column of 2.6 cm inner diameter with 30.0 cm in height that was coupled to a peristaltic pump. At the bottom of the column there was a distributor of glass beads having a height of 3.0 cm. Assays for residence time distribution (RTD) revelead a high degree of mixing, however, the Richardson-Zaki coefficients showed that the column was on the threshold of stability. Isotherm models fitted the adsorption equilibrium data in the presence of lyotropic salts. The results of experiment design indicated that the ionic strength and superficial velocity are important to the recovery and purity of chitosanases. The molecular mass of the two chitosanases were approximately 23 kDa and 52 kDa as estimated by SDS-PAGE. The phenomenological modeling was aimed to describe the operations in batch and column chromatography. The simulations were performed in Microsoft Visual Studio. The kinetic rate constant model set to kinetic curves efficiently under conditions of initial enzyme activity 0.232, 0.142 e 0.079 UA/mL. The simulated breakthrough curves showed some differences with experimental data, especially regarding the slope. Sensitivity tests of the model on the surface velocity, axial dispersion and initial concentration showed agreement with the literature. The neural network was constructed in MATLAB and Neural Network Toolbox. The cross-validation was used to improve the ability of generalization. The parameters of ANN were improved to obtain the settings 6-6 (enzyme activity) and 9-6 (total protein), as well as tansig transfer function and Levenberg-Marquardt training algorithm. The neural Carlos Eduardo de Araújo Padilha dezembro/2013 9 networks simulations, including all the steps of cycle, showed good agreement with experimental data, with a correlation coefficient of approximately 0.974. The effects of input variables on profiles of the stages of loading, washing and elution were consistent with the literature