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
Resource Information
The item Building better econometric models using cross section and panel data, Jeffrey A. Edwards represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Missouri University of Science & Technology Library.This item is available to borrow from 1 library branch.
Resource Information
The item Building better econometric models using cross section and panel data, Jeffrey A. Edwards represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Missouri University of Science & Technology Library.
This item is available to borrow from 1 library branch.
- 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"--
- Language
- eng
- Extent
- 1 online resource (1 volume)
- Contents
-
- Basic misspecification testing and respecification: the cross-sectional case
- Chapter 6.
- Variance heterogeneity: the cross-sectional case
- Chapter 7.
- Basic misspecification testing and respecification: the panel data case
- Chapter 8.
- Variance heterogeneity: the panel data case
- Chapter 9.
- Consistent and balanced panels
- Chapter 10.
- Chapter 1.
- Dynamic parametric heterogeneity
- Conclusion
- References
- Index
- What is a statistically adequate model and why is it important?
- Chapter 2.
- Basic misspecifications -- /Chapter 3.
- Misspecifications for the more advanced reader
- Chapter 4.
- Original specification and drawing inference from it: two related models
- Chapter 5.
- Isbn
- 9781606499757
- 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
- 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"--
- Assigning source
- Provided by publisher
- Cataloging source
- UMI
- http://library.link/vocab/creatorName
- Edwards, Jeffrey A
- Dewey number
- 330.015195
- Illustrations
- illustrations
- Index
- index present
- LC call number
- HB141
- LC item number
- .E39 2014
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- bibliography
- Series statement
- Economics collection
- http://library.link/vocab/subjectName
-
- Econometric models
- Models, Economic
- Econometric models
- Ekonometriska modeller
- Label
- Building better econometric models using cross section and panel data, Jeffrey A. Edwards
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
-
- Basic misspecification testing and respecification: the cross-sectional case
- Chapter 6.
- Variance heterogeneity: the cross-sectional case
- Chapter 7.
- Basic misspecification testing and respecification: the panel data case
- Chapter 8.
- Variance heterogeneity: the panel data case
- Chapter 9.
- Consistent and balanced panels
- Chapter 10.
- Chapter 1.
- Dynamic parametric heterogeneity
- Conclusion
- References
- Index
- What is a statistically adequate model and why is it important?
- Chapter 2.
- Basic misspecifications -- /Chapter 3.
- Misspecifications for the more advanced reader
- Chapter 4.
- Original specification and drawing inference from it: two related models
- Chapter 5.
- Control code
- 878852551
- Dimensions
- unknown
- Extent
- 1 online resource (1 volume)
- Form of item
- online
- Isbn
- 9781606499757
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other physical details
- illustrations.
- http://library.link/vocab/ext/overdrive/overdriveId
- cl0500000421
- Sound
- unknown sound
- Specific material designation
- remote
- System control number
- (OCoLC)878852551
- Label
- Building better econometric models using cross section and panel data, Jeffrey A. Edwards
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
-
- Basic misspecification testing and respecification: the cross-sectional case
- Chapter 6.
- Variance heterogeneity: the cross-sectional case
- Chapter 7.
- Basic misspecification testing and respecification: the panel data case
- Chapter 8.
- Variance heterogeneity: the panel data case
- Chapter 9.
- Consistent and balanced panels
- Chapter 10.
- Chapter 1.
- Dynamic parametric heterogeneity
- Conclusion
- References
- Index
- What is a statistically adequate model and why is it important?
- Chapter 2.
- Basic misspecifications -- /Chapter 3.
- Misspecifications for the more advanced reader
- Chapter 4.
- Original specification and drawing inference from it: two related models
- Chapter 5.
- Control code
- 878852551
- Dimensions
- unknown
- Extent
- 1 online resource (1 volume)
- Form of item
- online
- Isbn
- 9781606499757
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other physical details
- illustrations.
- http://library.link/vocab/ext/overdrive/overdriveId
- cl0500000421
- Sound
- unknown sound
- Specific material designation
- remote
- System control number
- (OCoLC)878852551
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.mst.edu/portal/Building-better-econometric-models-using-cross/S8XQaEvGYRo/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.mst.edu/portal/Building-better-econometric-models-using-cross/S8XQaEvGYRo/">Building better econometric models using cross section and panel data, Jeffrey A. Edwards</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.mst.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.mst.edu/">Missouri University of Science & Technology Library</a></span></span></span></span></div>
