Facilitating applied economic research with Stata
نویسنده
چکیده
Applied empirical research in economics and finance has traditionally involved the use of two types of high-level software: statistical/econometric packages, such as TSP, SAS, RATS or eViews, and matrix languages, such as MATLAB, GAUSS, S-Plus or Ox. Each type has its strengths and weaknesses. In this essay, we describe the middle ground posed by the statistical package and its programming language, and its usefulness in rapid prototyping of sophisticated econometric routines. Stata, a rapidly evolving software environment, brings several unique features to empirical researchers, particularly for those collaborating from diverse locations, and those relying on other Stata users for assistance with the implementation of new capabilities. Although Stata is a commercial product, its evolution is a unique blend of its vendor’s efforts and the sophisticated contributions of a broad set of users, interchanged via the package’s Internet-access features. The plan of the paper is as follows. In the next section, we discuss the fundamental design of Stata’s software environment. Section 3 describes the tools provided to Stata users for advanced software development efforts. In Section 4, we discuss the various means by which Stata is integrated with the Internet, and the implications of that integration for collaborative research and distance learning. Section 5 presents a case study of the development of a routine for the analysis of endogeneity in a regression equation, and discusses a Monte Carlo experiment evaluating the routine’s performance. Concluding remarks are offered in Section 6.
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تاریخ انتشار 2002