Questions tagged [unit-root]

A unit root is a property of a non-stationary time series which can lead to spurious regressions and wrong inference.

A unit root is a property of a non-stationary time series which can lead to spurious regressions and wrong inference. A series $$y_t = y_{t-1} + e_t$$ with $e_t \sim iid(0,\sigma^2)$ has a unit root if it can be expressed as $(1-L)y_t = e_t$ where $L$ is the lag operator. Then the characteristic equation of the above process has one unit root. A property of the unit root is that when an $I(1)$ autoregressive process is first differenced, it becomes an $I(0)$ process, i.e. it will be stationary.

Alternatively we can write: $$y_t = \phi y_{t-1} + e_t$$ The standard case is $\phi = 1$ in which shocks to the system ($e_t$) are persistent. For $\phi<1$ they die out over time and for $\phi>1$ we have an explosive unit root. The latter case is usually ignored since this rarely happens in reality.

For further reading see:

  • Hamilton, J.D. (1994) "Time Series Analysis", Princeton University Press, New Jersey
  • Kirchgässner, G. and Wolters, J. (2007) "Introduction to Modern Time Series Analysis", Springer Verlag, Heidelberg
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Intuitive explanation of unit root

How would you explain intuitively what is a unit root, in the context of the unit root test? I'm thinking in ways of explaining much like I've founded in this question. The case with unit root is that I know (little, by the way) that the unit root…
Lucas Reis
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What is the difference between a stationary test and a unit root test?

What is the difference between the Kwiatkowski–Phillips–Schmidt–Shin (KPSS) test and the augmented Dickey-Fuller (ADF) test? Are they testing the same thing? Or do we need to use them in different situations?
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Which Dickey-Fuller test for a time series modelled with an intercept/drift and a linear trend?

Short version: I have a time series of climate data that I'm testing for stationarity. Based on previous research, I expect the model underlying (or "generating", so to speak) the data to have an intercept term and a positive linear time trend. To…
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Nice example where a series without a unit root is non stationary?

I've seen several times people reject the null in an augmented Dickey-Fuller test, and then claim that it shows their series is stationary (unfortunately, I cannot show the sources of these claims, but I imagine similar claims exist here and there…
Glen_b
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Interpreting R's ur.df (Dickey-Fuller unit root test) results

I am running the following unit root test (Dickey-Fuller) on a time series using the ur.df() function in the urca package. The command is: summary(ur.df(d.Aus, type = "drift", 6)) The output is: ############################################### #…
SavedByJESUS
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Test for cointegration between two time series using Engle–Granger two-step method

I am seeking to test for cointegration between two time series. Both series have weekly data spanning ~3 years. I am trying to do the Engle-Granger Two Step Method. My order of operations follows. Test each time series for unit root via Augmented…
d0rmLife
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Difference between series with drift and series with trend

A series with drift can be modeled as $y_t = c + \phi y_{t-1} + \varepsilon_t$ where $c$ is the drift (constant), and $\phi=1$. A series with trend can be modeled as $y_t = c + \delta t + \phi y_{t-1} + \varepsilon_t$ where $c$ is the drift…
Michael
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R: Augmented Dickey Fuller (ADF) test

I'm having a problem with the Dickey-Fuller p-values and test statistic for unit root test in R. I tried using functions: urca::ur.df() fUnitRoots::adfTest() tseries::adf.test() All of them showed different results for the same test settings (lag,…
kodi1911
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Unit root tests for panel data in R

I have the plm package and would like to run unit root tests on some variables. I get the following error: > purtest(data$tot.emp) Error in data.frame(baldwin = c(59870, 61259, 60397, 58919, 57856, 57227, : arguments imply differing number of…
Charlie
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What is the difference between serial correlation and having a unit root?

I may be mixing up my time series and non time series concepts, but what is the difference between a regression model that exhibits serial correlation and a model that exhibits a unit root? In addition, why is it that you can use a Durbin-Watson…
hgcrpd
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Contradictory results of ADF and KPSS unit root tests

To check whether the data is stationary or not, I computed KPSS and ADF test and got the following results adf.test(td,alternative = "stationary") Augmented Dickey-Fuller Test data: td Dickey-Fuller = -3.7212, Lag order = 3, p-value =…
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How do you interpret results from unit root tests?

I have to do some unit root tests for a project, I'm just unsure on how to interpret the data (which is what I have been asked to do). Here is one of my results: dfuller Demand Dickey-Fuller test for unit root Number of obs = …
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Reference Request: Book on Unit Root Theory

In trying to do time series analysis, I almost regularly stumble upon unit root and cointegration tests. The design of most these tests is based on a null of unit root (for both linear and non-linear models) and the statistic's distribution is…
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Explosive processes, non-stationarity and unit roots, how to distinguish?

I understand that if we have a simple model such as: $$Y_t=\rho Y_{t-1}+\epsilon_t$$ where $\rho$ is less than one in absolute value then we have a stationary process. If $\rho$ equals one then we have a unit-root and we can use the augmented Dickey…
Goose
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What is the implication of unit root of MA?

A ARMA(p,q) process is weakly stationary, iff the root of its AR part is not on the unit circle. So its weak stationarity doesn't depend on its MA part. But what can the positions of the roots of its MA part imply? In the unit root tests for ARIMA,…
Tim
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