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76. UNIT ROOT-Concepts, Significance, Meaning| Econometrics |Time Series variable(Describing trends)
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A unit root (also called a unit root process or a difference stationary process) is a stochastic trend in a time series, sometimes called a “random walk with drift”; If a time series has a unit root, it shows a systematic pattern that is unpredictable.
The reason why it’s called a unit root is because of the mathematics behind the process. At a basic level, a process can be written as a series of monomials (expressions with a single term). Each monomial corresponds to a root. If one of these roots is equal to 1, then that’s a unit root.
The math behind unit roots is beyond the scope of this site (although if you’re really interested you can read about it in this pdf). All you really need to know if you’re analyzing time series is that the existence of unit roots can cause your analysis to have serious issues like:
Spurious regressions: you could get high r-squared values even if the data is uncorrelated.
Errant behavior due to assumptions for analysis not being valid. For example, t-ratios will not follow a t-distribution.
***FOR OTHER SESSIONS ON ECONOMETRICS CLICK BELOW:***
** WHAT IS ECONOMETRICS?
** TEN CLRM ASSUMPTIONS | Classical Linear Regression Model Assumptions
** CLASSICAL LINEAR REGRESSION MODEL | OLS ESTIMATE | Concept | Digression (estimate derivation)
** R^2 and Adjusted R^2 | STATISTICS | Important Concept | Explained in details | Eco (H)
** AUTOCORRELATION & PARTIAL AUTOCORRELATION FUNCTION | AR, MA and ARMA series| Eco Entrance | IES
** COINTEGRATION ECONOMETRICS DETAILED EXPLANATION|DEFINITION AND TESTING
For many more remember to subscribe the channel now!!
@economicspedia7096
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ABOUT ECONOMICS PEDIA: We here at Economics Pedia are to provide you with complete guidance and support regarding all types of competitive examinations with main focus on subject “Economics”, across the country and abroad. We also try to capture the issues and policies impact on economy.
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A unit root (also called a unit root process or a difference stationary process) is a stochastic trend in a time series, sometimes called a “random walk with drift”; If a time series has a unit root, it shows a systematic pattern that is unpredictable.
The reason why it’s called a unit root is because of the mathematics behind the process. At a basic level, a process can be written as a series of monomials (expressions with a single term). Each monomial corresponds to a root. If one of these roots is equal to 1, then that’s a unit root.
The math behind unit roots is beyond the scope of this site (although if you’re really interested you can read about it in this pdf). All you really need to know if you’re analyzing time series is that the existence of unit roots can cause your analysis to have serious issues like:
Spurious regressions: you could get high r-squared values even if the data is uncorrelated.
Errant behavior due to assumptions for analysis not being valid. For example, t-ratios will not follow a t-distribution.
***FOR OTHER SESSIONS ON ECONOMETRICS CLICK BELOW:***
** WHAT IS ECONOMETRICS?
** TEN CLRM ASSUMPTIONS | Classical Linear Regression Model Assumptions
** CLASSICAL LINEAR REGRESSION MODEL | OLS ESTIMATE | Concept | Digression (estimate derivation)
** R^2 and Adjusted R^2 | STATISTICS | Important Concept | Explained in details | Eco (H)
** AUTOCORRELATION & PARTIAL AUTOCORRELATION FUNCTION | AR, MA and ARMA series| Eco Entrance | IES
** COINTEGRATION ECONOMETRICS DETAILED EXPLANATION|DEFINITION AND TESTING
For many more remember to subscribe the channel now!!
@economicspedia7096
_____________________________________
ABOUT ECONOMICS PEDIA: We here at Economics Pedia are to provide you with complete guidance and support regarding all types of competitive examinations with main focus on subject “Economics”, across the country and abroad. We also try to capture the issues and policies impact on economy.
For more update:
SUBSCRIBE to Economics Pedia
Follow us:
WhatsApp contact: 9051981561
Mail us at:
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