Econometric Software

Renfro, Charles G.

doi:10.1002/9780470748916.ch1

Cited by 3 publications

(3 citation statements)

References 95 publications

(169 reference statements)

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“…However, owing to the costs of using them and their limited calculation capacity, “it was during the next two decades, starting in the early 1960s, as computers began to proliferate and programming languages and facilities became generally available, that economists more widely became users” (Renfro 2009, p. 60). The first econometric modeling languages began to be developed during the 1960s and the 1970s (Renfro 2004, p. 147). From the 1960s on, computer programs began to appear in increasing numbers of undergraduate, master’s, and doctoral theses.…”

Section: Similarities Between Today and The 1960smentioning

confidence: 99%

Econophysics: A New Challenge for Financial Economics?

Jovanovic¹,

Schınckus²

2013

J Hist Econ Thought

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Section: Similarities Between Today and The 1960smentioning

confidence: 99%

Econophysics: A New Challenge for Financial Economics?

Jovanovic¹,

Schınckus²

2013

J Hist Econ Thought

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“…In the decades between 1990 and 2010 with the widespread use of personal computers and licensed commercial software, a division of labour was strengthened separating developers and users. In the case of economics and econometrics, Renfro (2009) writes:…”

Section: Introductionmentioning

confidence: 99%

Analytical environments

2022

Handbook of Spatial Analysis in the Social Sciences

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Analytical environments are layered abstractions, and may be understood differently both by those belonging or not belonging to them, and by varieties of communities taken as belonging to a given analytical environment. It is helpful to see the role of evolving communities and often symbiotic relationships between participants as a lens that will help us grasp the "life" of analytical environments. This life is also implicit in the experiences of participants, be they users, developers, recipients of research output, students, or providers of key underlying software libraries.In this chapter, a partly autobiographical approach has been adopted in order to position this reading of how analytical environments may be understood as outcomes of willed actions. These willed actions, to provide software among other things for teaching and research, do not limit themselves to achieving pre-defined goals. In the cases used, Python and R, the reach and influence of the language platforms has evolved greatly over the twenty years work has been progressing. In addition, the communities of users and developers have matured and grown, although the pressing need for bringing in younger and more diverse contributors is recognised.We also know too little about the impact of these analytical environments, as citation practice with regard to software tools such as Python or R packages has not been encouraging in the social sciences. Going forward, and as part of the movement towards reproducible research, it would be interesting to encourage journal editors to require article authors to document their work by citing the software used. Unfortunately, as of now it is not possible to give a systematic overview of who uses which analytical environment for what, so this chapter will follow the chosen partly autobiographical approach, rendering the claims advanced largely subjective.

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“…Embora não seja nossa preocupação aqui, podemos indicar que o artigo deRenfro (2009) faz uma interessante revisão da evolução dos pacotes econométricos. Revista de Economia Política 34 (4), 2014 • pp.…”

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O avanço do processo de matematização na academia brasileira de economia desde a década de 1980

Luperi

2014

Rev. Econ. Polit.

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o avanço do processo de matematização na academia brasileira de economia desde a década de 1980 MauRIcIo luPeRI* The advance of the mathematization process in the Brazilian academy of Economics since the 1980s. Looking at the economic discourse, we try to study in this article how has mathematization in economics advanced in Brazil in the last three decades. To see this, we have classified into several categories all articles published in three major economic journals of the country (Revista Brasileira de Economia, Estudos Econômicos and Revista de Economia Política) and the publications made in the meetings ANPEC from 1981 to 2010, according to the type of argument used. The total of articles analyzed adds up to 5.733. We try to see how the path of economic discourse, making it more mathematical, did develop. We found that there was an increased use of a formalized language from the mid-1990s onwards. Finally, to confirm our findings, we focus on the process of mathematization through the observation of quantitative variable: equations per article.

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Econometric Software

Cited by 3 publications

References 95 publications

Econophysics: A New Challenge for Financial Economics?

Econophysics: A New Challenge for Financial Economics?

Analytical environments

O avanço do processo de matematização na academia brasileira de economia desde a década de 1980

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