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Home›Econometrics›Panel Johansen Cointegration Test
Regression modelEconometrics / time series

Panel Johansen Cointegration Test

Also known as: panel Johansen test, Larsson-Lyhagen-Lothgren test, LLL panel cointegration, panel trace test

The Panel Johansen cointegration test extends Johansen's maximum-likelihood framework to panel data, allowing researchers to test whether multiple non-stationary variables share long-run equilibrium relationships across cross-sectional units. It pools the likelihood-ratio statistics from individual Johansen tests and compares the standardised average against a standard normal distribution, yielding greater power than single-country approaches.

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Panel Johansen Cointegration
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When to use it

Use Panel Johansen cointegration when you have a balanced or near-balanced panel of multiple I(1) variables observed over a moderate to long time dimension (T ≥ 40 recommended) and you need to detect one or more long-run equilibrium relationships across cross-sectional units. It is particularly valuable in macroeconomic and finance panels — e.g., testing purchasing power parity, energy-growth nexus, or financial integration across countries — where individual-country time series are too short for the single-country Johansen test. Do not use it when variables are I(0) (already stationary), when T is very short (T < 20), or when the panel is severely unbalanced, as the asymptotic normal approximation breaks down. For a single cointegrating equation without multiple vectors, panel Engle-Granger or ARDL bounds tests are simpler alternatives.

Strengths & limitations

Strengths
  • Detects multiple cointegrating vectors, unlike residual-based single-equation tests.
  • Pooling across N cross-sections dramatically increases statistical power relative to individual-country Johansen tests.
  • Allows heterogeneous short-run dynamics and lag orders across units while maintaining a common long-run framework.
  • The standardised panel statistic has a simple standard normal asymptotic distribution, making inference straightforward.
  • Compatible with subsequent VECM estimation to model both short-run adjustment and long-run equilibrium.
Limitations
  • Requires a reasonably long time dimension (T ≥ 40) for each unit; small T causes the individual Johansen statistics to be unreliable.
  • The standard Larsson-Lyhagen-Lothgren version assumes cross-sectional independence; cross-sectional dependence — common in macro panels — inflates the test statistic and requires bootstrap or CD-robust extensions.
  • Choosing VAR lag length unit by unit is computationally intensive and sensitive to model specification.
  • Assumes the cointegration rank is homogeneous across all units, which may be unrealistic in heterogeneous panels.

Frequently asked

What is the difference between Panel Johansen and Panel Engle-Granger cointegration tests?

Panel Engle-Granger tests a single cointegrating relationship by running an OLS regression and testing the residuals for stationarity; it can miss additional cointegrating vectors. Panel Johansen uses a VAR framework that simultaneously identifies all cointegrating vectors, making it more powerful and informative when more than one long-run relationship may exist.

How many time periods do I need for the Panel Johansen test?

A minimum of T ≈ 40 periods per unit is commonly recommended, because each unit's Johansen trace statistic requires a well-behaved VAR. With T < 20 the individual statistics are unreliable and the normal approximation for the panel statistic may be poor. Increasing N compensates somewhat, but a short T is the binding constraint.

How do I handle cross-sectional dependence in the panel?

The Larsson-Lyhagen-Lothgren (2001) statistic assumes cross-sectional independence. If a Pesaran CD test or similar rejects independence, use a bootstrap version of the panel Johansen test or a factor-augmented extension that accounts for common factors driving co-movement across units.

What do I do after finding cointegration?

Estimate a Panel Vector Error Correction Model (Panel VECM). The VECM decomposes each variable's change into a long-run error-correction term (how fast the variable returns to equilibrium after a shock) and short-run dynamics, providing both the long-run cointegrating coefficients and the speed of adjustment.

Can the cointegration rank differ across panel units?

The standard Larsson-Lyhagen-Lothgren test imposes a common rank. If ranks are expected to differ — e.g., some countries are integrated while others are not — consider running individual Johansen tests per unit and reporting unit-specific results alongside the panel statistic, or use rank heterogeneity extensions in the literature.

Sources

  1. Larsson, R., Lyhagen, J., & Lothgren, M. (2001). Likelihood-based cointegration tests in heterogeneous panels. Econometrics Journal, 4(1), 109–142. DOI: 10.1111/1368-423X.00059 ↗
  2. Johansen, S. (1991). Estimation and hypothesis testing of cointegration vectors in Gaussian vector autoregressive models. Econometrica, 59(6), 1551–1580. DOI: 10.2307/2938278 ↗

How to cite this page

ScholarGate. (2026, June 3). Panel Johansen Cointegration Test. ScholarGate. https://scholargate.app/en/econometrics/panel-johansen-cointegration

Related methods

Panel ARDL Bounds TestPanel Engle-Granger CointegrationPanel Granger CausalityPanel VECMVector Error Correction Model

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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Referenced by

Panel ADF Unit Root TestPanel ARDL Bounds TestPanel Engle-Granger CointegrationPanel Granger CausalityPanel Toda-Yamamoto CausalityPanel VECMRobust Johansen Cointegration

Similar methods

Panel Engle-Granger CointegrationPanel VECMPanel Cointegration TestsJohansen Cointegration TestCointegration TestPanel ARDL Bounds TestPanel ADF Unit Root TestStructural break Johansen cointegration

Related reference concepts

Multiple or Simultaneous Equation Models • Multiple VariablesMathematical and Quantitative MethodsEconometricsMultivariate Analysis of VarianceMultivariate Multiple RegressionMultivariate Regression

Spotted an issue on this page? Report or suggest a fix →

ScholarGate — Panel Johansen Cointegration (Panel Johansen Cointegration Test). Retrieved 2026-07-21 from https://scholargate.app/en/econometrics/panel-johansen-cointegration · Dataset: https://doi.org/10.5281/zenodo.20539026
Quick facts
Originator
Larsson, Lyhagen & Lothgren (building on Johansen 1988/1991)
Year
2001
Type
Panel cointegration test
DataType
Balanced or unbalanced panel; I(1) time series for multiple cross-sections
Subfamily
Econometrics / time series
Related methods
Panel ARDL Bounds TestPanel Engle-Granger CointegrationPanel Granger CausalityPanel VECMVector Error Correction Model
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