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2018 | OriginalPaper | Buchkapitel

11. The Narrative in the Numbers

verfasst von : Darren Grant

Erschienen in: Methods of Economic Research

Verlag: Springer International Publishing

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Abstract

This chapter describes how to finish bringing closure to an empirical study, in a way that both structures and enhances the narrative used to report that study’s methods, results, and conclusions. It emphasizes the importance of relating the study’s findings back to the essential facts of the phenomenon of interest, and argues that the study’s ultimate objective should be to understand that phenomenon on its own terms, not the terms prescribed by the researcher. In the process of doing this, the researcher will often unearth an “organizing principle” that grounds the behavior of the major actors involved in this phenomenon, and which also can ground the study’s narrative. These ideas spring to life in applications to the housing crash, the behavior of carnival workers, development in the tropics, teenage fatherhood, and more.

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Fußnoten
1
This point is acknowledged in the literature, of course, but my general point remains.
 
2
Oh, relax. Denny’s has many menu items that are both nutritious and reasonably priced.
 
3
Yes, more prescient than Robert Shiller’s. Not that there’s anything wrong with that.
 
4
Except for the Maldives, which basically will do just that, because of global warming.
 
5
Of course, there is no reason a single study can’t contain both types of evidence. Here that study is Ram (1997), who began by discussing Kamarck’s (1976) findings, and followed with regressions that affirmed latitude’s effect on growth, all else equal.
 
6
Similarly, in industrial organization, there are more organic, less general single-industry studies and less organic, more general cross-industry studies.
 
7
Which is why Salvador Dali doesn’t impress Sister Wendy, despite his technical sophistication. His “desire to show off and to shock” whittles back this sense of something more (Beckett 1999, p. 113).
 
8
This scenario is not ironclad: the “preferred” estimates are not precise, and we cannot be sure that the people who dropped out of school began full time work soon after. Earlier waves of the Add-Health survey allow some further exploration of these points, which can be done within the existing analytical framework, using this framework to look beyond the immediate question we are trying to answer. The most obvious line of inquiry is that the pregnancy-only estimates most differ from those in the previous columns for employment. Controlling for employment history might capture this essential element of individual heterogeneity, allowing use of the full data set to yield more precise, more detailed estimates of the employment ramifications of teenage fatherhood.
 
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Metadaten
Titel
The Narrative in the Numbers
verfasst von
Darren Grant
Copyright-Jahr
2018
DOI
https://doi.org/10.1007/978-3-030-01734-7_11