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L38 Tests for Cointegration

  • Determine whether "stable long-term relationship" exists
  • Cointegrated \(\implies\) although they may drift, they move together in the long term

Engle Granger Two Step Test

  • One of the first methods (2 variables)
  • Steps
    1. Estimate long run relationship: Regress \(Y_{t} = \alpha + \beta X_{t} +\epsilon_{t}\) and obtain residuals1
    2. Test for stationarity of residuals: ADF. If residuals are \(I(0)\) then the residuals are cointegrated
\[ \begin{align} H_{0}: & \text{Residuals are non-stationary} \implies \text{Cointegrated} \\ H_{1}: & \text{Resdiausl are stationary} \implies \text{Cointegrated} \end{align} \]
  • Limitation: only suitable for two variables
    • lacks power if more than two variables are involved

Johansen Test

"You-han-sen"

  • More comprehensive test that can handle multiple variables
  • Based on VAR model
  • Examines the rank of the cointegration matrix (to determine the number of cointegrating relationships)

  • Two approaches

    1. Trace Test: number of CV \(\le r\) against \(\geq r\)
    2. Maximum Eigenvalue Test: number of CV \(=r\) against \(r+1\)
\[ \begin{align} H_{1} & \\ H_{2} & \end{align} \]

Phillips-Ouliaris Cointegration Test

\[ \begin{align} H_{0} &: \text{No cointegration} \\ H_{1} &: \text{Cointegration exists} \end{align} \]

Phillips-Ouliaris test statistic

Durbin-Watson Cointegration Test

  • Not a direct cointegration test. Helps in testing for spurious relationships2
  • DW static \(\approx 0\) \(\implies\) possibility of spurious regression \(\implies\) may not be cointegrated
  • DW \(\gt 1.5-2\) \(\implies\) Cointegration relationship might exist

Auto-Regressive Distributed Lag (ARDL) Bounds Test

  • When underlying series are of mixed integration order (some \(I(0)\) and some \(I(1)\))
\[ \begin{align} H_{0} &: \text{No cointegration} \\ H_{1} &: \text{Cointegration exists} \end{align} \]
  • compatible with various sample sizes

Practical Examples

  • House Prices and Rent Prices
  • Commercial Real Estate Prices and Economic Indicators
  • Healthcare Spending and GDP
    • spending grows with economy
  • Drug Prices and R&D Costs
    • validate the cost determination practices

  1. Or other \(X_{t}\) variables 

  2. Spurious: Two unrelated variables having strong correlation