Autocorrelation-Corrected Standard Errors in Panel Probits : An Application to Currency Crisis Prediction
Author/Editor: Andrew Berg, Rebecca N Coke
Release Date: © March, 2004
ISBN
: 978-1-45184-586-0
Stock #: WPIEA0392004
English
Stock Status: On back-order
Languages and formats available
| English | French | Spanish | Arabic | Russian | Chinese | Portuguese | |
| Paperback | Yes |
Description
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.
Taxonomy
Crisis prevention , Currencies , Foreign exchange , IMF governance and operations , Operations
More publications in this series: Working Papers
More publications by: Andrew Berg ; Rebecca N Coke
