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Federal statistics should be viewed and treated as part of the nation's scientific infrastructure. The empirical social sciences dependent on those statistics produce social knowledge directly relevant to social problem analysis and policy formation. Statistics primarily come from the census and federal sample surveys, but increasing use is made of administrative and digital data. These two data sources have not benefited from the scientific attention given to survey data. Federal statistical agencies, if given the resources and the authority, are the appropriate part of the federal government to insist on data quality, privacy protection, and data access for the scientific community.

Federal statistics should be viewed and treated as part of the nation's scientific infrastructure. The empirical social sciences dependent on those statistics produce social knowledge directly relevant to social problem analysis and policy formation. Statistics primarily come from the census and federal sample surveys, but increasing use is made of administrative and digital data. These two data sources have not benefited from the scientific attention given to survey data. Federal statistical agencies, if given the resources and the authority, are the appropriate part of the federal government to insist on data quality, privacy protection, and data access for the scientific community. [Reprinted by permission of Sage Publications Inc., copyright The American Academy of Political and Social Science.]

The government and the private sector encouraged entrepreneurship by offering various types of loans that provide employment opportunities as an effort to reduce poverty. Evidence has shown that personality traits and behaviors are vital roles in influencing entrepreneurship. Different evaluations should be done, including tests of personality traits and behavior. Agencies typically use a common method in evaluating entrepreneurs, such as self-reporting, interviews, and questionnaires. Nevertheless, psychologists and social researchers strongly question the shortcomings of these evaluation methods. The drawbacks of these methods include bias and entrepreneurs can fake their answers (Social Desirability Response). These circumstances reduce the chance of an honest and prospective entrepreneur to get loans when judged against an entrepreneur who knows how to exploit their answers to impress the evaluators. In order to avoid false answers and biases, numerous attempts have been carried out to assess entrepreneur personality traits and behavior objectively. Geographical space influence the behavior of entrepreneurs (activities) and the entrepreneurs activities can also influence changes in the geographical space. Therefore, it is advisable to include spatial components in personality and behavior evaluation. This article suggests a different approach in evaluating potential entrepreneurs that assesses personality traits and behaviors from a spatial perspective. A total of 100 questionnaires were distributed to micro-entrepreneurs and agencies which provide loans for micro-entrepreneurs. SmartPLS3 software is used for data processing and analysis following the collection of data. It was concluded from the results of this study, it is possible to evaluate personality and behaviors from a spatial perspective.

Abstract
The aim of this paper is to bring a methodological and empirical contribution to the measurement of trade competition. Globalization and the emergence of new poles in the world economy brought changes to the global landscape and consequent increase in international trade. There is a debate in the literature with regard the indexes that are better fit to be applied in empirical examples for the acquirement of relevant results for measurement of trade competition. This measurement will be achieved by observing the levels of structural similarity in distinct areas and at different moments in time. A higher degree of similarity between the export structures implies a stronger competition in destination markets. The values obtained for this measurement are highly relevant for the trade competition topic. Through this study we further explore the measurement of trade competition and comparatively discuss several indexes used in this area of research.