Extraction Of Information From Predictive Statements Of Federal Tax Leaders

Abstract

Past studies indicate numeric data contains information.  This study focuses on extraction of information from language, a critical feature in taxation, since tax law is usually conveyed in nonnumeric formats.  Respondents differing in tax education levels were tested on ability to extract information from tax leaders’ predictive statements.  Non-tax students found all statement significant.  Tax students and professionals attached significance only to directly quoted statements.