Communicating quantitative information: tables vs graphs

Torsten Klein

MPRA Paper from University Library of Munich, Germany

Abstract: In applied statistics and computational econometrics a key task for researchers is to bring the sizable but unstructured body of numeric evidence, for example from Monte Carlo simulation, in a form ready for introducing to scientific dialog. At their disposal they find established means of arrangement: narrative text, tables, graphs. Employing classical principles of communication to evaluate their suitability graphical devices seem optimal. They absorb large quantities of data, and organize content into a productive tool. Graphs confirm the advantage when put to work in a standard simulation exercise. However, theory and application contrast with the norm observed in peer-reviewed journals – by a wide margin and with considerable persistency researchers prefer tables.

Keywords: econometric and statistical methods; Monte Carlo; bivariate probit model; exogeneity testing; modes of communication; data visualization; economics of science (search for similar items in EconPapers)
JEL-codes: A14 C10 C15 C35 C52 Y10 (search for similar items in EconPapers)
Date: 2014-12-11
New Economics Papers: this item is included in nep-ecm and nep-ore
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Citations: View citations in EconPapers (1)

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