000			04730nam a2200601 i 4500
001			10861550
003			CaPaEBR
005			20241023114834.0
006			m eo d
007			cr cn |||m|||a
008			140423s2014 nyu foab 001 0 eng d
020			_a9781606499757 _qe-book
035			_a(OCoLC)878077804
035			_a(CaBNVSL)swl00403322
040			_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL
050		4	_aHB141
100	1		_aEdwards, Jeffrey A., _eauthor.
245	1	0	_aBuilding better econometric models using cross section and panel data / _cJeffrey A. Edwards.
250			_aFirst edition.
264		1	_aNew York, New York (222 East 46th Street, New York, NY 10017) : _bBusiness Expert Press, _c[(c)2014.]
300			_a1 online resource (xiii, 98 pages)
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_adata file _2rda
490	1		_aEconomics collection, _x2163-7628
500			_aPart of: 2014 digital library.
504			_aIncludes bibliographical references (pages 95-96) and index.
505	0		_a1. What is a statistically adequate model and why is it important? -- _t2. Basic misspecifications -- _t3. Misspecifications for the more advanced reader -- _t4. Original specification and drawing inference from it: two related models -- _t5. Basic misspecification testing and respecification: the cross-sectional case -- _t6. Variance heterogeneity: the cross-sectional case -- _t7. Basic misspecification testing and respecification: the panel data case -- _t8. Variance heterogeneity: the panel data case -- _t9. Consistent and balanced panels -- _t10. Dynamic parametric heterogeneity -- _tConclusion -- _tReferences -- _tIndex.
506			_aAccess restricted to authorized users and institutions.
520	3		_aMany 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.
530			_a2 _ub
530			_aAlso available in printing.
538			_aMode of access: World Wide Web.
538			_aSystem requirements: Adobe Acrobat reader.
588			_aTitle from PDF title page (viewed on April 23, 2014).
650		0	_aEconometric models.
653			_across-sectional data
653			_ainference
653			_amisspecification testing
653			_apanel data
653			_aregression
653			_aregression models
653			_arespecification
653			_aStata
653			_astatistical adequacy
655		0	_a[genre]
776	0	8	_iPrint version: _z9781606499740
830		0	_a2014 digital library.
830		0	_aEconomics collection. _x2163-7628
856	4	0	_uhttps://go.openathens.net/redirector/ciu.edu?url=https://portal.igpublish.com/iglibrary/search/BEPB0000257.html
942			_2lcc _bCIU _cOB _eBEP _QOL _zBEP10861550
999			_c72777 _d72777
902			_c1 _dCynthia Snell