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Estimating accounting and finance models with Microsoft Excel

Gary S. Robson (Bloomsburg University of Pennsylvania, Bloomsburg, Pennsylvania, USA)
Yong B. Shin (Francis Marion University, Florence, South Carolina, USA)
J. Wilson Mixon Jr (Berry College, Mount Berry, Georgia, USA)

Managerial Finance

ISSN: 0307-4358

Article publication date: 10 April 2009

1876

Abstract

Purpose

The purpose of this paper is to propose a way to introduce regression analysis into courses with minimal start‐up time. Doing so makes it less likely that introducing both the software and the estimation technique will create discontinuity in the flow of the material being covered.

Design/methodology/approach

This paper discusses an Excel workbook that reduces the amount of time students must use to become adept at estimating model parameters.

Findings

The workbook provides a set of macros that guides students through the implementation of ordinary least squares (OLS) estimation and provides them with information that is not part of standard Excel output. It also conducts high‐low analysis.

Originality/value

Using this program can reduce the difficulties encountered in having students conduct the valuable exercise of model estimation.

Keywords

Citation

Robson, G.S., Shin, Y.B. and Wilson Mixon, J. (2009), "Estimating accounting and finance models with Microsoft Excel", Managerial Finance, Vol. 35 No. 5, pp. 451-460. https://doi.org/10.1108/03074350910949817

Publisher

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Emerald Group Publishing Limited

Copyright © 2009, Emerald Group Publishing Limited

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