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Distributions of Error Correction Tests for Cointegration

  • Neil R. Ericsson

    (Federal Reserve Board)

  • James G. MacKinnon

    (Queen's University)

This paper provides cumulative distribution functions, densities, and finite sample critical values for the single-equation error correction statistic for testing cointegration. Graphs and response surfaces summarize extensive Monte Carlo simulations and highlight simple dependencies of the statistic's quantiles on the number of variables in the error correction model, the choice of deterministic components, and the estimation sample size. The response surfaces provide a convenient way for calculating finite sample critical values at standard levels; and a computer program, freely available over the Internet, can be used to calculate both critical values and p-values. Three empirical examples illustrate these tools.

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Paper provided by Econometric Society in its series Econometric Society World Congress 2000 Contributed Papers with number 0561.

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Date of creation: 01 Aug 2000
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Handle: RePEc:ecm:wc2000:0561
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  38. repec:cup:etheor:v:11:y:1995:i:5:p:984-1014 is not listed on IDEAS
  39. James G. MacKinnon & Halbert White, 1983. "Some Heteroskedasticity Consistent Covariance Matrix Estimators with Improved Finite Sample Properties," Working Papers 537, Queen's University, Department of Economics.
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