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From Statistical Nuisances to Serious Modeling: Changing How We Think About the Analysis of Time-Series–Cross-Section Data

From Statistical Nuisances to Serious Modeling: Changing How We Think About the Analysis of... <jats:p>This special issue of <jats:italic>Political Analysis</jats:italic> hopefully marks a watershed in how we as a discipline think about modeling time-series—cross-section (TSCS) data. By that I mean moving beyond thinking of TSCS data as only presenting a series of technical estimation problems that are seen as violations of the Gauss-Markov assumptions, problems that can be treated by better estimation methods. The articles in this special issue point to ways of moving forward in thinking of TSCS data as providing opportunities to model intrinsic and important features of the data (while also paying attention to the various statistical issues).</jats:p> http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Political Analysis Oxford University Press

From Statistical Nuisances to Serious Modeling: Changing How We Think About the Analysis of Time-Series–Cross-Section Data

Political Analysis , Volume 15 (2) – Feb 24, 2007

From Statistical Nuisances to Serious Modeling: Changing How We Think About the Analysis of Time-Series–Cross-Section Data

Political Analysis , Volume 15 (2) – Feb 24, 2007

Abstract

<jats:p>This special issue of <jats:italic>Political Analysis</jats:italic> hopefully marks a watershed in how we as a discipline think about modeling time-series—cross-section (TSCS) data. By that I mean moving beyond thinking of TSCS data as only presenting a series of technical estimation problems that are seen as violations of the Gauss-Markov assumptions, problems that can be treated by better estimation methods. The articles in this special issue point to ways of moving forward in thinking of TSCS data as providing opportunities to model intrinsic and important features of the data (while also paying attention to the various statistical issues).</jats:p>

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References (4)

Publisher
Oxford University Press
Copyright
© The Author 2007. Published by Oxford University Press on behalf of the Society for Political Methodology. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org
ISSN
1047-1987
eISSN
1476-4989
DOI
10.1093/pan/mpm001
Publisher site
See Article on Publisher Site

Abstract

<jats:p>This special issue of <jats:italic>Political Analysis</jats:italic> hopefully marks a watershed in how we as a discipline think about modeling time-series—cross-section (TSCS) data. By that I mean moving beyond thinking of TSCS data as only presenting a series of technical estimation problems that are seen as violations of the Gauss-Markov assumptions, problems that can be treated by better estimation methods. The articles in this special issue point to ways of moving forward in thinking of TSCS data as providing opportunities to model intrinsic and important features of the data (while also paying attention to the various statistical issues).</jats:p>

Journal

Political AnalysisOxford University Press

Published: Feb 24, 2007

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