Desenvolvimento local, cidadania e redes sociais: um estudo em Minas Gerais

The objective of this essay was to verify if the practices of local development in these small towns (population under 20.000 inhabitants) of Lavra¿s small region have contributed to the formation and/or strengthening of social network. The work was conducted from a theoretical discussion about local development, citizenship, local development with citizenship and social network. Afterward interviews were made semi-structured with a sample formed of 54 citizens of six towns of Lavra¿s small region in Minas Gerais. The speech analysis was used in the treatment of the dates. As results, considering the strengthening and formation of social network, it is possible to say: about the strengthening, that there is not a possibility, because the social networks structured as we understand it, do not exist or are still to embryonic, prevailing, in the formation towns, the pyramidal structure. And about the formation, it is notable that there are more negative aspects than positive to the development of these networks, however some initiative point out to the possibilities of creation. Therefore, we can conclude that the practice of local development contribute, still, in a very incipient and limited manner to the formation of social networks in the state¿s town. Incipient because the identified initiatives that points towards the creation are recent and are still in a structure stage; and limited because there are too many negative aspects that make the construction difficult.

O uso do método Six-Sigma como instrumento facilitador na estimativa de valor como referência de preço em mercados empresariais de tecnologia : um estudo exploratório

Trata-se de um estudo exploratório sobre a viabilidade da utilização do método Six-Sigma, como instrumento para a estimativa de preço de valor, de produtos de tecnologia em mercados empresariais. O método do estudo combina pesquisa literária com pesquisa empírica de dados primários, através de entrevistas em profundidade. O estudo é concluido apresentandose indícios iniciais positivos da viabilidade da proposta. São também mencionadas possíveis limitações da aplicação e propostos novos temas para pesquisa.

Are one-sided S,s rules useful proxies for optimal pricing rules?

This article is motivated by the prominence of one-sided S,s rules in the literature and by the unrealistic strict conditions necessary for their optimality. It aims to assess whether one-sided pricing rules could be an adequate individual rule for macroeconomic models, despite its suboptimality. It aims to answer two questions. First, since agents are not fully rational, is it plausible that they use such a non-optimal rule? Second, even if the agents adopt optimal rules, is the economist committing a serious mistake by assuming that agents use one-sided Ss rules? Using parameters based on real economy data, we found that since the additional cost involved in adopting the simpler rule is relatively small, it is plausible that one-sided rules are used in practice. We also found that suboptimal one-sided rules and optimal two-sided rules are in practice similar, since one of the bounds is not reached very often. We concluded that the macroeconomic effects when one-sided rules are suboptimal are similar to the results obtained under two-sided optimal rules, when they are close to each other. However, this is true only when one-sided rules are used in the context where they are not optimal.

Strategic adoption in a two-sided market : a study of college applications in Brazil

This paper measures the importance of indirect network effects in the adoption by colleges and students of ENEM, a standardized exam for high-school students in Brazil that can be used in college application processes. We estimate network effects and find that they are economically significant. Students are more likely to take ENEM the larger the number of colleges adopting it. Similarly, colleges are more likely to adopt it the larger the number of students taking the exam. Moreover, we find evidence that colleges play strategically and that heterogeneity determines their decisions. A college is less likely to adopt ENEM the larger the number of competitors adopting it. Colleges’ characteristics such as ownership and organization affect adoption decisions. In a counterfactual exercise we compare colleges’ adoption decisions under competition and under joint colleges’ payoffs maximization. Adoption rates are significantly reduced when colleges internalize the competitive effect, i.e., the effect of their decisions on other colleges’ payoffs. On the other hand, they increase when indirect network effects - the effect of students’ response to their decisions on other colleges’ payoffs - are also internalized. Competitive adoption rates are found to exceed joint optimum rates by a small difference. These results suggest that, without considering students’ welfare, adoption rates are excessive, but close to the joint optimum.

Optimal two-sided tests for instrumental variables regression with heteroskedastic and autocorrelated errors

This paper considers two-sided tests for the parameter of an endogenous variable in an instrumental variable (IV) model with heteroskedastic and autocorrelated errors. We develop the nite-sample theory of weighted-average power (WAP) tests with normal errors and a known long-run variance. We introduce two weights which are invariant to orthogonal transformations of the instruments; e.g., changing the order in which the instruments appear. While tests using the MM1 weight can be severely biased, optimal tests based on the MM2 weight are naturally two-sided when errors are homoskedastic. We propose two boundary conditions that yield two-sided tests whether errors are homoskedastic or not. The locally unbiased (LU) condition is related to the power around the null hypothesis and is a weaker requirement than unbiasedness. The strongly unbiased (SU) condition is more restrictive than LU, but the associated WAP tests are easier to implement. Several tests are SU in nite samples or asymptotically, including tests robust to weak IV (such as the Anderson-Rubin, score, conditional quasi-likelihood ratio, and I. Andrews' (2015) PI-CLC tests) and two-sided tests which are optimal when the sample size is large and instruments are strong. We refer to the WAP-SU tests based on our weights as MM1-SU and MM2-SU tests. Dropping the restrictive assumptions of normality and known variance, the theory is shown to remain valid at the cost of asymptotic approximations. The MM2-SU test is optimal under the strong IV asymptotics, and outperforms other existing tests under the weak IV asymptotics.