The Resource Building better econometric models using cross section and panel data, Jeffrey A. Edwards

Building better econometric models using cross section and panel data, Jeffrey A. Edwards

Label
Building better econometric models using cross section and panel data
Title
Building better econometric models using cross section and panel data
Statement of responsibility
Jeffrey A. Edwards
Creator
Contributor
Author
Provider
Subject
Language
eng
Summary
Many empirical researchers yearn for an econometric model that better explains their data. Yet these researchers rarely pursue this objective for fear of the statistical complexities involved in specifying that model. This book is intended to alleviate those anxieties by providing a practical methodology that anyone familiar with regression analysis can employ--a methodology that will yield a model that is both more informative and is a better representation of the data. Most empirical researchers have been taught in their undergraduate econometrics courses about statistical misspecification testing and respecification. But the impact these techniques can have on the inference that is drawn from their results is often overlooked. In academia, students are typically expected to explore their research hypotheses within the context of theoretical model specification while ignoring the underlying statistics. Company executives and managers, by contrast, seek results that are immediately comprehensible and applicable, while remaining indifferent to the underlying properties and econometric calculations that lead to these results. This book outlines simple, practical procedures that can be used to specify a better model; that is to say, a model that better explains the data. Such procedures employ the use of purely statistical techniques performed upon a publicly available data set, which allows readers to follow along at every stage of the procedure. Using the econometric software Stata (though most other statistical software packages can be used as well), this book shows how to test for model misspecification, and how to respecify these models in a practical way that not only enhances the inference drawn from the results, but adds a level of robustness that can increase the confidence a researcher has in the output that has been generated. By following this procedure, researchers will be led to a better, more finely tuned empirical model that yields better results
Member of
Cataloging source
MiAaPQ
http://library.link/vocab/creatorName
Edwards, Jeffrey A
Index
index present
LC call number
HB141
LC item number
.E383 2014
Literary form
non fiction
Nature of contents
  • dictionaries
  • abstracts summaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
ProQuest Ebook Central
Series statement
Economics collection,
http://library.link/vocab/subjectName
Econometric models
Target audience
specialized
Label
Building better econometric models using cross section and panel data, Jeffrey A. Edwards
Instantiates
Publication
Note
Part of: 2014 digital library
Bibliography note
Includes bibliographical references (pages 95-96) and index
Carrier category
online resource
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type MARC source
rdacontent
Contents
1. What is a statistically adequate model and why is it important? -- 2. Basic misspecifications -- 3. Misspecifications for the more advanced reader -- 4. Original specification and drawing inference from it: two related models -- 5. Basic misspecification testing and respecification: the cross-sectional case -- 6. Variance heterogeneity: the cross-sectional case -- 7. Basic misspecification testing and respecification: the panel data case -- 8. Variance heterogeneity: the panel data case -- 9. Consistent and balanced panels -- 10. Dynamic parametric heterogeneity -- Conclusion -- References -- Index
Dimensions
unknown
Edition
First edition.
Extent
1 online resource (xiii, 98 pages)
Form of item
online
Governing access note
Access restricted to authorized users and institutions
Isbn
9781606499757
Media category
computer
Media MARC source
rdamedia
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)878077804
  • (CaBNVSL)swl00403322
  • (MiAaPQ)EBC1675705
  • (Au-PeEL)EBL1675705
  • (CaPaEBR)ebr10861550
  • (CaONFJC)MIL825459
  • (OCoLC)878852551
Label
Building better econometric models using cross section and panel data, Jeffrey A. Edwards
Publication
Note
Part of: 2014 digital library
Bibliography note
Includes bibliographical references (pages 95-96) and index
Carrier category
online resource
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type MARC source
rdacontent
Contents
1. What is a statistically adequate model and why is it important? -- 2. Basic misspecifications -- 3. Misspecifications for the more advanced reader -- 4. Original specification and drawing inference from it: two related models -- 5. Basic misspecification testing and respecification: the cross-sectional case -- 6. Variance heterogeneity: the cross-sectional case -- 7. Basic misspecification testing and respecification: the panel data case -- 8. Variance heterogeneity: the panel data case -- 9. Consistent and balanced panels -- 10. Dynamic parametric heterogeneity -- Conclusion -- References -- Index
Dimensions
unknown
Edition
First edition.
Extent
1 online resource (xiii, 98 pages)
Form of item
online
Governing access note
Access restricted to authorized users and institutions
Isbn
9781606499757
Media category
computer
Media MARC source
rdamedia
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)878077804
  • (CaBNVSL)swl00403322
  • (MiAaPQ)EBC1675705
  • (Au-PeEL)EBL1675705
  • (CaPaEBR)ebr10861550
  • (CaONFJC)MIL825459
  • (OCoLC)878852551

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