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Testing the replication hypothesis:When the data set is subject to gross error

Authors
Journal
Economics Letters
0165-1765
Publisher
Elsevier
Publication Date
Volume
34
Issue
1
Identifiers
DOI: 10.1016/0165-1765(90)90180-9

Abstract

Abstract Between the time OLS estimates are computed on N observations and replication is attempted, the data matrix accumulates C rows of gross errors. Fitting the reported OLS estimates to the contaminated data will produce N-C residuals which agree exactly with the original residuals. This fact serves as the basis of a test for replication.

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