Description

On this course, you’ll study:

  • Sorts of Information

  • What are the totally different websites for information citations

  • The right way to import information in E-views

  • checking the stationarity of the information

  • changing time sequence information into panel information

  • Estimating and Decoding OLS

  • Assumptions of Classical Linear Regression Mannequin (CLRM)

  • Detection and Elimination of Autocorrelation

  • Detection and Elimination of Heteroskedasticity

  • Normality utilizing Jorque Bera check

  • Johansen cointegration check

  • Estimation and interpretation of ARDL mannequin

The aim for creating this course is that every one of you may in a position to estimate and run the totally different fashions for estimation utilizing Eviews. All of the lectures are designed in a sequential method after which join the quizzes and task with the movies, you should have a fantastic profit in your skilled profession.

There are lots of kinds of information in economics, however on this course, I’ve solely talked about and mentioned these information sorts that are principally used for estimation and prediction in the case of economics.

On the subject of downloading information, it’s a simple but very troublesome process as a result of a lot of the college students don’t know from the place and the way they need to obtain information. Due to this fact it is usually mentioned how and from the place you may obtain information.

On this course, each step is mentioned, not solely mentioned, however I’ve proven them virtually. So it will likely be useful for the learners to use them in future life.’

Within the assumption of classical linear regression mannequin, I’ve mentioned them by mathematically in addition to utilizing EVeiws.

This course  will ready you to study in regards to the regression fashions, and you’ll study that easy methods to create dummy variables, and easy methods to make panel information.

You’ll study additionally about ARCH and GARCH household on this course.

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