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Sunday, January 19, 2014

Econometric Methods In Investment Analysis - Project

Authors NameInstructor NameSubjectDateEconometric Methods in Investment AnalysisSEQ CHAPTER \h 1 scotchs is most sits and these sets atomic number 18 typi rec exclusivelyy articulated in actu ally widely distributed terms . Econometric methods give a pusher to obtain more defined expressions of such models (Charemza , W . W and D . F . Deadman 1997 . Means giving statistical even up to concepts like the marginal propensity to consume , the multiplier and so on . It means putting statistical values into the model so that it might be used to make turn forecasts of key sparing variables that might be used by a policy maker . In to do these things , the frugalal expert should confront the theory with data , an undertaking that it is plagued with difficultiesEconometric chew over is just now as reliable as the wakeles s statistical assumptions (Dickey , D . A , D . W . Jansen and D . L . Thornton 1991 . The incumbent assumptions concern specific distributional properties of the errors in the linked econometric model . Such errors obtain atomic attention from economic theorists and are added reluctantly at the nullify of econometric models . further , it is the proper pattern of these error distributions , unneurotic with the exact expression of the interdependence that permits our empirical economic inferences The neediness of correctly stating the primary statistical model is always at issue in real econometric diligences . Questions of proper judicial admission affect the exposition of any empirical economic evidenceNo reveal statement of the import and signifi provokece of this new type of cycle investigation can be given than that made by Ragnar Frisch in an newspaper column of the first issue of Econometrica in January 1933 then , econometrics is by no means the same as econom ic statistics . Nor is it identical with wha! t we call general economic theory , although a considerable segment of this theory has a definitely quantitative character . Nor should econometrics be taken as synonymous with the application of mathematics to economics .
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Experience has shown that each of these three thinkingpoints that of statistics , economic theory , and mathematics , is a necessary , but non by itself a sufficient , conditions for a real correspondence of the quantitative transaction in modern economic tone . It is the unification of all three that is powerful . And it is this unification that constitutes econometricsEconometric business- cycle investigate is enormously persistent in its aims , and if successful would is , though , a long-run nonsuch , for so bold a architectural plan cannot be effectively carried out directly in view of the complexity of the paradox and the unacceptable character of the existing statistics . If the results achieved thence far are somewhat inadequate , it should be remembered that the work has progressed for barely twenty years , which is short compared with the lifetime of general economics (Enders , W 1995 . To this might be added the deliberation that the errors and shortcomings of econometrics come out more apparent by virtue of the fact that all imprecision or indecisiveness is constantly eschewedEconometric techniques are hardly as ripe as the precision of the assumptions upon which they are ground . An explicit statistical test or...If you want to get a full essay, direct it on our website: OrderCustomPaper.com

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