Another Look at Gaap Versus the Street: An Empirical Assessment of Measurement Error Bias

47 Pages Posted: 11 Dec 2006

See all articles by Daniel A. Cohen

Daniel A. Cohen

Texas A&M University - Department of Accounting

Rebecca N. Hann

University of Maryland - Robert H. Smith School of Business

Maria Ogneva

University of Southern California - Marshall School of Business

Multiple version iconThere are 3 versions of this paper

Date Written: November 2006

Abstract

Bradshaw and Sloan (2002) document a significant increase in the difference between the earnings response coefficients (ERCs) for GAAP and Street (I/B/E/S) earnings over the 1990s, suggesting that the market has become increasingly reliant or fixated on Street earnings. In this study we investigate whether, alternatively, an "errors in variables" problem caused by a mismatch between the definitions of realized and expected earnings drives the ERC divergence. Our findings suggest that results from conventional analyses of GAAP and Street ERCs, including the ERC divergence pattern, are significantly contaminated by measurement errors in earnings surprises.

Keywords: capital markets, analyst forecasts, earnings response coefficients, GAAP earnings, Street earnings, measurement error

JEL Classification: M41, G12, G14

Suggested Citation

Cohen, Daniel A. and Hann, Rebecca N. and Ogneva, Maria, Another Look at Gaap Versus the Street: An Empirical Assessment of Measurement Error Bias (November 2006). Available at SSRN: https://ssrn.com/abstract=950609 or http://dx.doi.org/10.2139/ssrn.950609

Daniel A. Cohen

Texas A&M University - Department of Accounting ( email )

430 Wehner
College Station, TX 77843-4353
United States

Rebecca N. Hann (Contact Author)

University of Maryland - Robert H. Smith School of Business ( email )

College Park, MD 20742-1815
United States

Maria Ogneva

University of Southern California - Marshall School of Business ( email )

701 Exposition Blvd
Los Angeles, CA California 90089
United States

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