European Business Schools Librarian's Group

SSE/EFI Working Paper Series in Economics and Finance,
Stockholm School of Economics

No 310: A Normality Test for the Mean Estimator

Michael K. Andersson
Additional contact information
Michael K. Andersson: Dept. of Economic Statistics, Stockholm School of Economics, Postal: P.O. Box 6501, S-113 83 Stockholm, Sweden

Abstract: This note proposes a tool to investigate and demonstrate the adequacy of the central limit theorem in small samples. The suggested testing procedure provides a method to investigate if the mean estimator is approximately normally distributed, given data and sample size at hand. This is important when deciding upon inference procedure, i.e. is parametric inference possible or do we have to settle for nonparametrics. The procedure is well-suited for teaching in under-graduate statistics classes.

Keywords: Central limit theorem; Bootstrap; Empirical distribution.

JEL-codes: A22; C12

6 pages, February 26, 1999

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