Multiple structural change models:a simulation analysis

In a reccnt paper. Bai and Perron (1998) considcrccl theoretical issues relatec\ lo lhe limiting distriblltion of estimators and test. statist.ics in the linear model \\'ith multiplc struct ural changes. \Ve assess. via simulations, the adequacy of the \'arious I1Iethods suggested. These CO\'er the size and power of tests for structural changes. the cO\'erage rates of the confidence Íntervals for the break dates and the relat.Í\'e merits of methods to select the I1umber of breaks. The \'arious data generating processes considered alIo,,' for general conditions OIl the data and the errors including differellces across segmcll(s. Yarious practical recommendations are made.

Compartilhamento do conhecimento e confiança organizacional em ambientes fortemente hierarquizados

O compartilhamento do conhecimento e a confiança organizacional são fatores de grande interesse nas pesquisas sobre gestão do conhecimento. Esta tese tem por objetivo identificar como a confiança organizacional influencia a propensão ao compartilhamento do conhecimento em estruturas hierárquicas fortes, estudando os efeitos da satisfação com a carreira, do comprometimento organizacional e do tempo de exposição à hierarquia nesse processo. O método hipotético-dedutivo, aplicado com a técnica de modelagem de equações estruturais a uma amostra de 655 profissionais militares do Exército Brasileiro resultou na mediação do comprometimento organizacional afetivo no relacionamento entre a confiança organizacional e a propensão ao compartilhamento do conhecimento. Os resultados sugerem, ainda, que a percepção de utilidade do conhecimento recebido e o estado civil são variáveis significativas na explicação da variância da propensão ao compartilhamento do conhecimento. Por fim, o tempo de exposição à hierarquia impacta diretamente as variáveis estudadas sem, contudo, interferir no relacionamento entre o comprometimento organizacional e a propensão ao compartilhamento do conhecimento. Os resultados desta tese contribuem para o melhor entendimento do fenômeno de compartilhamento do conhecimento no ambiente organizacional.

A contractive method for computing the stationary solution of the euler equation

A contractive method for computing stationary solutions of intertemporal equilibrium models is provide. The method is is implemented using a contraction mapping derived from the first-order conditions. The deterministic dynamic programming problem is used to illustrate the method. Some numerical examples are performed.

Evaluating the existence of structural change in the brazilian term structure of interest: evidence based on cointegration models with structural break

This paper investigates whether there is evidence of structural change in the Brazilian term structure of interest rates. Multivariate cointegration techniques are used to verify this evidence. Two econometrics models are estimated. The rst one is a Vector Autoregressive Model with Error Correction Mechanism (VECM) with smooth transition in the deterministic coe¢ cients (Ripatti and Saikkonen [25]). The second one is a VECM with abrupt structural change formulated by Hansen [13]. Two datasets were analysed. The rst one contains a nominal interest rate with maturity up to three years. The second data set focuses on maturity up to one year. The rst data set focuses on a sample period from 1995 to 2010 and the second from 1998 to 2010. The frequency is monthly. The estimated models suggest the existence of structural change in the Brazilian term structure. It was possible to document the existence of multiple regimes using both techniques for both databases. The risk premium for di¤erent spreads varied considerably during the earliest period of both samples and seemed to converge to stable and lower values at the end of the sample period. Long-term risk premiums seemed to converge to inter-national standards, although the Brazilian term structure is still subject to liquidity problems for longer maturities.

Multiple equilibria and protectionism

In a nonnative approach, I analyze trade policies when the industrial sector genentes positive extemalities in production, and there are adjustments costs to changing production from one sector to the other. Protectionist trade policy can make workers intemalize the benetits from moving into the industrial sector, but it is a second best policy as it also causes consumption distortions. I show that if the govemment is able to fully commit to its tariff schedule for the future, the welfare maximizing policy is to maintain a positive tariff forever, even after all adjustment has already taken place . However, if the govemment is not able to commit at all, the only time consistent policy is zero tariff at any point in time. The time inconsistency of the full commitment policy is derived from the fact that in the model only production needs interference, and the production distortion is lagged one period with respect to the tariff wbile the consumption distortion is simultaneous to the tariff. In the intermediary case, i.e., when the government can commit for a limited period of time, the time consistent optimal tariff will be positive but lower than the "full commitment" tariff. This result indicates that some institutions that have always been considered pure sources of inefficiency, such as protectionist lobbying, may in fact be welfare improving in some cases!

Tree-structured smooth transition models

The goal of this paper is to introduce a class of tree-structured models that combines aspects of regression trees and smooth transition regression models. The model is called the Smooth Transition Regression Tree (STR-Tree). The main idea relies on specifying a multiple-regime parametric model through a tree-growing procedure with smooth transitions among different regimes. Decisions about splits are entirely based on a sequence of Lagrange Multiplier (LM) tests of hypotheses.

Factors affecting the technical efficiency of production of the Brazilian banking system : a comparison of four statistical models in the context of data envelopment analysis

This paper uses an output oriented Data Envelopment Analysis (DEA) measure of technical efficiency to assess the technical efficiencies of the Brazilian banking system. Four approaches to estimation are compared in order to assess the significance of factors affecting inefficiency. These are nonparametric Analysis of Covariance, maximum likelihood using a family of exponential distributions, maximum likelihood using a family of truncated normal distributions, and the normal Tobit model. The sole focus of the paper is on a combined measure of output and the data analyzed refers to the year 2001. The factors of interest in the analysis and likely to affect efficiency are bank nature (multiple and commercial), bank type (credit, business, bursary and retail), bank size (large, medium, small and micro), bank control (private and public), bank origin (domestic and foreign), and non-performing loans. The latter is a measure of bank risk. All quantitative variables, including non-performing loans, are measured on a per employee basis. The best fits to the data are provided by the exponential family and the nonparametric Analysis of Covariance. The significance of a factor however varies according to the model fit although it can be said that there is some agreements between the best models. A highly significant association in all models fitted is observed only for nonperforming loans. The nonparametric Analysis of Covariance is more consistent with the inefficiency median responses observed for the qualitative factors. The findings of the analysis reinforce the significant association of the level of bank inefficiency, measured by DEA residuals, with the risk of bank failure.

A conditional likelihood ratio test for structural models

This paper develops a general method for constructing similar tests based on the conditional distribution of nonpivotal statistics in a simultaneous equations model with normal errors and known reducedform covariance matrix. The test based on the likelihood ratio statistic is particularly simple and has good power properties. When identification is strong, the power curve of this conditional likelihood ratio test is essentially equal to the power envelope for similar tests. Monte Carlo simulations also suggest that this test dominates the Anderson- Rubin test and the score test. Dropping the restrictive assumption of disturbances normally distributed with known covariance matrix, approximate conditional tests are found that behave well in small samples even when identification is weak.

Uma análise de incentivos contratuais em arranjos de parceria de atendimento ao cidadão

Com base em proposições depreendidas da teoria da economia dos custos de transação, da teoria dos incentivos e dos contratos incompletos, esta pesquisa realiza um estudo de casos múltiplos buscando encontrar correspondentes empíricos para tais formulações. O foco dessa dissertação está em uma oportunidade incomum: a ocorrência simultânea de dois diferentes modelos de parceria com sistemas de incentivos distintos aplicados ao mesmo serviço. O Poupatempo e a Unidade de Atendimento Integrado - UAI, dois importantes programas regionais brasileiros de atendimento presencial ao cidadão, que possuem objetivos semelhantes e que empregaram recentemente diferentes modelos de parceria. Enquanto São Paulo utilizou da terceirização para expandir o Poupatempo desde 2007, Minas Gerais desenvolveu o UAI desde 2011 com uma parceria público-privada. Este estudo de casos múltiplos desenvolve-se com base em uma análise contratual que identifica os incentivos formais das parcerias aliada a avaliação dos resultados dos agentes privados com base nos relatórios de desempenho. Para além da análise destes documentos, entrevistas semiestruturadas nos permitem analisar as variáveis não-contratuais. Assim, os elementos extraídos dos dois casos nos permitem observar os pressupostos depreendidos das três teorias.