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The small multiple in econometrics – a redesign

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  • Klein, Torsten L.

Abstract

This brief note serves as a companion paper to Klein (2014). Small multiples incorporate graphical frameworks such as P value plots with ease, and thus facilitate visualizing quantitative data that record parameter change from simulation experiments. Pitfalls in layout may be avoided when observing elementary design principles. To illustrate their workings the principles revise a small multiple that collects simulation results on the empirical size of procedures testing exogeneity in the bivariate probit model.

Suggested Citation

  • Klein, Torsten L., 2014. "The small multiple in econometrics – a redesign," MPRA Paper 60521, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:60521
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    File URL: https://mpra.ub.uni-muenchen.de/60521/1/MPRA_paper_60521.pdf
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    References listed on IDEAS

    as
    1. Chiara Monfardini & Rosalba Radice, 2008. "Testing Exogeneity in the Bivariate Probit Model: A Monte Carlo Study," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(2), pages 271-282, April.
    2. Klein, Torsten L., 2014. "Communicating quantitative information: tables vs graphs," MPRA Paper 60514, University Library of Munich, Germany.
    3. Davidson, Russell & MacKinnon, James G, 1998. "Graphical Methods for Investigating the Size and Power of Hypothesis Tests," The Manchester School of Economic & Social Studies, University of Manchester, vol. 66(1), pages 1-26, January.
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    Cited by:

    1. Klein, Torsten L., 2014. "Communicating quantitative information: tables vs graphs," MPRA Paper 60514, University Library of Munich, Germany.

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    More about this item

    Keywords

    Monte Carlo; bivariate probit model; exogeneity testing; data visualization;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • Y10 - Miscellaneous Categories - - Data: Tables and Charts - - - Data: Tables and Charts

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