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Undergraduate econometrics instruction: through our classes, darkly

机译:本科计量经济学教学:通过我们的课程,黑暗地

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摘要

The past half-century has seen economic research become increasingly empirical, while the nature of empirical economic research has also changed. In the 1960s and 1970s, an empirical economist's typical mission was to "explain" economic variables like wages or GDP growth. Applied econometrics has since evolved to prioritize the estimation of specific causal effects and empirical policy analysis over general models of outcome determination. Yet econometric instruction remains mostly abstract, focusing on the search for "true models" and technical concerns associated with classical regression assumptions. Questions of research design and causality still take a back seat in the classroom, in spite of having risen to the top of the modern empirical agenda. This essay traces the divergent development of econometric teaching and empirical practice, arguing for a pedagogical paradigm shift.
机译:在过去的半个世纪中,经济研究变得越来越有经验,而经验经济研究的性质也发生了变化。在1960年代和1970年代,经验经济学家的典型任务是“解释”工资或GDP增长等经济变量。从那时起,应用经济计量学已经演化为优先考虑特定因果效应的估计和经验性政策分析,而不是一般的结果确定模型。然而,计量经济学教学仍然大部分是抽象的,着重于寻找“真实模型”以及与经典回归假设相关的技术问题。尽管研究设计和因果关系的问题已经上升到现代经验议程的最重要位置,但它在课堂上仍然排在后面。本文追溯了计量经济学教学和实证实践的不同发展,并提出了教学范式的转变。

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