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Autocorrelation-Corrected Standard Errors in Panel Probits; An Application to Currency Crisis Prediction

  • Andrew Berg
  • Rebecca N. Coke

Many estimates of early-warning-system (EWS) models of currency crisis have reported incorrect standard errors because of serial correlation in the context of panel probit regressions. This paper documents the magnitude of the problem, proposes and tests a solution, and applies it to previously published EWS estimates. We find that (1) the uncorrected probit estimates substantially underestimate the true standard errors, by up to a factor of four; (2) a heteroskedasicity- and autocorrelation-corrected (HAC) procedure produces accurate estimates; and (3) most variables from the original models remain significant, though substantially less so than had been previously thought.

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Paper provided by International Monetary Fund in its series IMF Working Papers with number 04/39.

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Length: 21
Date of creation: 01 Mar 2004
Date of revision:
Handle: RePEc:imf:imfwpa:04/39
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