We consider the problem of testing whether the observations X1, · · ·, Xn of a time series are independent with unspecified (possibly nonidentical) distributions symmetric about a common known median. Various bounds on the distributions of serial correlation coefficients are proposed:...

We discuss statistical inference problems associated with identification and testability in econometrics, and we emphasize the common nature of the two issues. After reviewing the relevant statistical notions, we consider in turn inference in nonparametric models and recent developments on...

This paper proposes a new nonparametric test for conditional independence, which is based on the comparison of Bernstein copula densities using the Hellinger distance. The test is easy to implement because it does not involve a weighting function in the test statistic, and it can be applied in...

The panel data of the Brazilian Monthly Employment Survey - Pesquisa Mensal de Emprego (PME/IBGE) is actually one of the richest datasets for analysis of labor market in Brazil. The reason is its longitudinal design. Since it is only addressed to labor market investigations, its questionnaire...

The recent financial crisis raised awareness of the need for a framework for conducting macroprudential policy. Identifying as early as possible and addressing the buildup of endogenous imbalances, exogenous shocks, and contagion from financial markets, market infrastructures, and financial...

The technological and institutional environment influences the way of doing research and the relationships between its participants. Intellectual property is a strategic issue to build the institutional framework of the new technological regime and therefore the dynamics of innovation in...

The paper estimates a panel-VAR using data on total expenditures, tax receipts and overall grants received for 5.544 Brazilian municipalities observed from 2002 through 2010. A sequence of hypotheses was investigated by the means of overidentification test statistics. Among our main findings, we...

In this work we consider modeling the past volatilities through a Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model using the Bayesian approach. Asymmetries in the shocks are accommodated by smooth transition models for the variance. We discuss problems related to the...

This paper investigates the price elasticity of Brazilian residential electricity demand for 2012-2016. The estimations use random and fixed effects panel data and impulse response function in a VAR/VECM model for time series analysis. Furthermore, we analyze the consumers in two categories, Low...