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Data · dataset · 2004

The Examination and Analysis of Cognitive Consistency of Budget Makers and their Resource Allocation Decisions

Listed in Harvard Dataverse

The mid-term program budgeting system has been practiced since this year.

Description

Mid-term revenue and expenditure forecasting has been an important part underlying this new system. Because of the uncertainty and longer forecasting terms, human judgments and judgment forecasting tend to play a significant role in mid-term revenue and expenditure forecasting.

Accordingly, the study explores the importance of judgment forecasting by virtue of Social Judgment Theory and the accompanying framework of Lens Model. A case study of the excise tax was administered to expert forecasters in the Directorate General of Budget Accounting and Statistics and the Ministry of Finance as well as graduate students. The results indicated that the forecasting consistency and accuracy of the expert forecasters are better than those of graduate students.

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It can be expected that the mid-term revenue and expenditure forecasting results released from these two agencies should be close and accurate, comparing to the graduate students.

Links

Provenance · 1 source records, 5 field assertions
SourceKeyLast seenRaw
Harvard Dataversedoi:10.6141/TW-SRDA-E90039-112 d agoJSON v1
FieldAssertionExtractorEvidence
created_datesource · Harvard Dataverseconnector:dataverse@1.0.0
descriptionsource · Harvard Dataverseconnector:dataverse@1.0.0/description
publication_datesource · Harvard Dataverseconnector:dataverse@1.0.0
titlesource · Harvard Dataverseconnector:dataverse@1.0.0/name
updated_datesource · Harvard Dataverseconnector:dataverse@1.0.0