E-VIEWS statistical software Case Solution And Analysis, HBR Case Study Solution & Analysis of Harvard Case Studies

E-VIEWS statistical software Case Solution

Introduction

E Views is window based software that is a statistical analysis package, which aims for aiding economists, financial analysts, researchers and policy analyst and implementer. Apart from this the software has become renowned among the academic students for their study work and projects.This software can be used by any one according to the needs. The software is user-friendly and even a professional finds it easy to use.
For researchers, E Views provides and supports wide range of task that includes analysis of economic and financial data, building models and analyzing the scenario situations where more than one outcome is possible. It is useful for research purposes and even for teaching the economics and statistics through econometric. Through EViews, the data can be analyzed so that the impact of new policies and major deviations in investment appraisals can be estimated (Vogelvang, 2005).
As far as statistical software is concerned, you might think of some complex rigid system with expert level interface and econometric jargon's and frightening visual appearance and interface. With EViews you will not face such a thing like that. E Views has adopted the policy of innovation that is unfamiliar with the traditional statistical software in the market. It uses and incorporates modern software design and advance graphical user interface in its software. This has made it hands-on software for its users. EViews’ interface has built-in object-orientation design that results in context-sensitive menus and this erode the cumbersome of going through the documentations and finding and surfing menus to find the required option or tool (Brooks, 2013).
The software with its innovative design and easy GUI provides its users with great deal of functions such as graph creation, frequency conversion and dynamic data generation. The user can maintain real-time analysis and can update its data and analysis as and when required. Another valuable feature is that EViews supports output in different usable formats. It incorporates OLE (Object Linking and Embedding) technique that allows EViews users to get the output of their result in excel or PowerPoint files and to even createa link between them so that the output source updates automatically as the EViews data changes. In the same way, ifa link is created, then a change in the data of the source files in excel will automatically update the data and results in EViews (Agung, 2013 ). Moreover, EViews has a smart data management tool that provides automated functions for importing, structuring and also helps in conversion of foreign data. These features have always kept the EViews ahead of other statistical software.

Origin

EViews is a remarkable product of HIS Global Inc., a leading global source of critical information and insight. EViews has gained its place as a worldwide leader in window based econometric and forecasting software, originally developed by Quantitative Micro Software (QMS). QMS was also the manufacturer of MicroTSP software, one of the first forecasting and analytical packages for personal computer. MicroTSP was first developed by David Lilien, and was released in 1981 for Apple II personal computers. MicroTSP was then altered and rewritten to work on IBM compatible PCs. In 1990, several developments had been carried on with a new program for windows operating system with the evolution of PCs with higher memory and rich graphical user interface (Silva, 2003). With the combination of C++ language program and modern GUI interface, the state of the art design and sophisticated statistical tools and integrations have made it possible to have revolutionary econometric window based software “EViews”. In 1981,Micro TSP was replaced by the advanced window based EViews in 1994.
HIS group has been developing statistical software since 25 years. HIS’s EViews is aimed to provide user friendly and object oriented interface to provide academic students, researchers, government agencies and corporations with forecasting, modeling and statistical tools.................

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