Abstract ABSTRACT: In this study, sections of working papers from audits performed by one office of a public accounting firm were obtained and investigated. The working papers contained the Information documented from the preliminary evaluation of internal control over the accounts receivable/sales area. Data from the working papers were provided as Input, and discriminant analysis was used to construct a descriptive model of the auditor preliminary evaluation judgments. The model correctly predicted about 80 percent of the individual auditor judgments, which is significantly more accurate than a chance model, end the importance of the presence or absence of particular control activities on the auditors' evaluations was investigated from the model.
Abstract ABSTRACT: The purpose of this study is to test the feasibility of using a model derived from the judgments of a group of tax experts in controlled experimental conditions to predict actual compliance behavior. A judgment model, using amount of income, source of income, penalty for cheating, and rate structure as independent variables, was derived from CPA tax professionals. The model then was used successfully to predict actual taxpayer compliance using IRS Taxpayer Compliance Measurement Program data. The model also was used to infer the relative importance of the determinants of taxpayer compliance used in the study. Source of income was found to be about three times more important than the next most heavily weighted variable. These results demonstrate the potential for employing a derived judgment model as an efficient means of predicting the effect of proposed changes in tax policy on taxpayer compliance.