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035   $a(OCoLC)949862466
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035   $a(CaPaEBR)ebr11206360
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035   $a(OCoLC)950465369
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100   $a20160512d2016      fy             0
101 0 $aeng
135   $aurcnu||||||||
181   $2rdacontent
182   $2rdamedia
183   $2rdacarrier
200 10$aRegression for economics /$fShahdad Naghshpour
205   $aSecond edition.
210  1$aNew York, New York (222 East 46th Street, New York, NY 10017) :$cBusiness Expert Press,$d2016.
215   $a1 online resource (xix, 166 pages)
225 1 $aEconomics collection,$x2163-7628
311   $a1-63157-443-4 
320   $aIncludes bibliographical references (page [161]) and index.
327   $a1. The concept of regression -- 2. The method of least squares -- 3. Simple linear regression using software packages -- 4. Multiple regression -- 5. Goodness of fit -- 6. Regression coefficients -- 7. Causality: correlation is not causality -- 8. Qualitative variables in regression -- 9. Pitfalls of regression analysis -- Appendix -- Glossary of terms -- Notes -- References -- Index.
330 3 $aThe concept of regression was introduced by Legendre in 1805 and advanced by Gauss in 1809. The term was popularized after Galton's 1886 article. Contribution of R. A. Fisher in the early 20th century was instrumental to the spread of the method to every scientific branch. Regression analysis, used in economics and many other fields, is now the most commonly used statistical method. Although few would characterize this technique as simple, regression is in fact both simple and elegant. The complexity that many attribute to regression analysis is often a reflection of their lack of familiarity with the language of mathematics. But regression analysis can be understood even without the mastery of sophisticated mathematical concepts. This book provides the foundation of regression analysis in a way that is easy to comprehend. All the examples are from economics and in almost all the examples real data are used to show the application of the method.
410  0$aEconomics collection.$x2163-7628
606   $aEconomics$xStatistical methods
606   $aRegression analysis
610   $aanalysis
610   $acausality
610   $aceteris paribus
610   $acoefficient of determination
610   $acontrol variables
610   $aerror
610   $agoodness of fit
610   $ainference
610   $amisspecification
610   $amodel
610   $aproxy variables
610   $aregression
610   $aspurious regression
610   $aStata
615  0$aEconomics$xStatistical methods.
615  0$aRegression analysis.
676   $a519.536
700   $aNaghshpour$b Shahdad.$0890738
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910798222603321
996   $aRegression for economics$93676506
997   $aUNINA