Fill in the order form to get the price

Subject

Category

Deadline

Timezone:

Title *

Task *

{"ops":[{"attributes":{"bold":true},"insert":"Unit Root Test\u00a0\u2013 Augmented Dicker Fuller Test"},{"insert":"\nIn order to\u00a0implemented\u00a0the Augmented Dickey- Fuller unit root test is to\u00a0make sure the stationarity\u00a0of all time-series data. Stationary time-series data are those that are exempt from the existence of the unit root. With the\u00a0involvement of the\u00a0unitroot, the differencing approach would be used to remove the unit\u00a0root\u00a0and leave the time-series data to be stationary.\u00a0If the result of the time series data\u00a0is\u00a0non- stationary, it will lead to spurious regression.\u00a0We assumed the variables in level and first difference with a constant, applying the lag length of ADF test using an Akaike Information Criterion (AIC) with an automatic maximum lag length of 7.\u00a0\n\u00a0\n"},{"attributes":{"bold":true},"insert":"Level"},{"insert":"\n"},{"attributes":{"bold":true},"insert":"1st\u00a0Differences\u00a0"},{"insert":"\n"},{"attributes":{"bold":true},"insert":"Variable:\u00a0"},{"insert":"\n"},{"attributes":{"bold":true},"insert":"Trends and Intercept"},{"insert":"\n"},{"attributes":{"bold":true},"insert":"Intercept"},{"insert":"\nUR\n0.0114\n0.0001\nGDP\n0.0000\n0.0003\nIF\n0.0012\n0.0000\nPG\n1.0000\n0.0001\nER\n0.0117\n0.0013\n\n"}]}

I need basic explanations

Special Requirements

Upload files (if required)

Drop files here to upload

Add files...

Account info

Already have an account?

Name *

E-mail *

Password *

The password must be at least 6 characters.

I agree with terms & conditions