Teaching Nonparametric Econometrics to Undergraduates

Daniel Henderson () and Christopher Parmeter

Journal of Econometric Methods, 2016, vol. 5, issue 1, 179-193

Abstract: Given the popularity of nonparametric methods in applied econometric research, it is beneficial if students have exposure to these methods. We provide a simple, heuristic overview that can be used to discuss smoothing and nonparametric density and regression estimation suitable for an undergraduate econometrics class. We make connections to existing methods known to students (e.g. weighted least-squares through the idea of local weighting) which allows easy access to these methods. Examples are given as well as a discussion of available methods across an array of statistical software to fit the needs of educators.

Keywords: density; nonparametric; regression; teaching (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1515/jem-2015-0007

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