Peer-based approach for analytical procedures

Auditing

Volumn 25, Issue 2, 2006, Pages 53-84

  Hoitash, Rani ^a   Kogan, Alexander ^b   Vasarhelyi, Miklos A ^b  

^a SUFFOLK UNIVERSITY   (United States)

^b RUTGERS UNIVERSITY   (United States)

Author keywords

Analytical procedures; Data management; Information sharing; Peers

Indexed keywords

EID: 42149092720     PISSN: 02780380     EISSN: 15587991     Source Type: Journal    
DOI: 10.2308/aud.2006.25.2.53     Document Type: Article

References (31)

1. Allen, R. D. 1992. Statistical analytical procedures using industry specific information: An empirical study. Dissertation, Michigan State University.
2. _, M. S. Beasley, and B. C. Branson 1999. Improving analytical procedures: A case of using disaggregate multilocation data. Auditing: A. Journal of Practice & Theory 18 (Fall): 128-142.
3. American Institute of Certified Public Accountants (AICPA). 1988. Analytical Procedures. Statement of Auditing Standards No. 56. New York, NY: AICPA.
4. _. 1996. Code of Professional Conduct. Professional Standards. Vol. II. New York, NY: AICPA.
5. Chen, Y., and R. A., Leitch. 1998. The error detection of structural analytical procedures: A simulation study. Auditing: A Journal of Practice & Theory 17 (Fall): 36-70.
6. _, and R. A. Leitch. 1999. An analysis of the relative power characteristics of analytical procedures. Auditing: A Journal of Practice & Theory 18 (Fall): 35-69.
7. Cogger, K. O. 1981. A time-series analytical approach to aggregation issues in accounting data. Journal of Accounting Research 19 (Autumn): 285-298.
8. DeFond, M., and J. Jiambalvo. 1994. Debt covenant violation and manipulation of accruals: Accounting choice in troubled companies. Journal of Accounting & Economics 17: 145-176.
9. Dugan, T., J. Gentry, and K. Shriver. 1985. The X-11 model: A new analytical review technique for the auditor. Auditing: A. Journal of Practice & Theory 4 (Spring): 11-22.
10. Dzeng, S. C. 1994. A comparison of analytical procedures expectation models using both aggregate and disaggregate data. Auditing: A Journal of Practice & Theory 13 (Fall): 1-24.
11. Efron, B., and C. Morris. 1973. Stein's estimation rule and its competitors: An empirical Bayes approach. Journal of the American Statistical Association 68 (341): 117-130.
12. _. 1977. Stein's paradox in statistics. Scientific American 119-127.
13. Foster, G. 1981. Intra-industry information transfers associated with earnings releases. Journal of Accounting and Economics 3 (December): 201-232.
14. Guy, D. M., and D. R. Carmichael. 2002. Practitioner's Guide to GAAS. New York, NY: John Wiley and Sons.
15. Hawawini, G., V. Subramanian, and P. Verdin, 2003. Is performance driven by industry or firm specific factors? A look at the evidence. Strategic Management Journal 241: 16.
16. Hogan, C. E., and D. C. Jeter. 1999. Industry specialization by auditors. Auditing: A Journal of Practice & Theory 18 (Spring): 1-17.
17. Ijiri, Y., and R. A., Leitch, 1980. Stein's paradox and audit, sampling. Journal of Accounting Research 18 (1): 91-108.
18. Knechel, R. W. 1988. The effectiveness of statistical analytical review as a substantive auditing procedure: A simulation analysis. The Accounting Review (January): 74-95.
19. Kothari, S., A. Leone, and C. Wasley. 2005. Performance matched discretionary accrual measures. Journal of Accounting and Economics 39: 163-197.
20. Kwon, S. Y 1996. The impact of competition within the client's industry on the auditor selection decision. Auditing: A Journal of Practice & Theory 15 (Spring): 53-69.
21. Leitch, R. A., and Y. Chen. 1999. Simulation of controlled financial, statements. Review of Quantitative Finance and Accounting 13: 189-207.
22. _. 2003. The effectiveness of expectation models in recognizing error patterns and generating and eliminating hypotheses while conducting analytical procedures. Auditing: A Journal of Practice & Theory 22 (Fall): 147-170.
23. Lev, B. 1980. On the use of index models in analytical reviews by auditors. Journal of Accounting Research (Autumn): 524-550.
24. Loebbecke, J. K., and P. J. Steinbart. 1987. An investigation of the use of preliminary analytical review to provide substantive audit evidence. Auditing: A Journal of Practice & Theory (Spring): 74-89.
25. Perry, S., and T. Williams. 1994. Earnings management preceding management buyout offers. Journal of Accounting & Economics 18: 157-179.
26. Taylor, M. A. 2000. The effects of industry specialization on auditors' inherent risk assessments and confidence judgments. Contemporary Accounting Research 17 (Winter): 693-712.
27. U.S. General Accounting Office (GAO). 2002. Financial Statement Restatements: Trends, Market Impacts, Regulatory Responses, and Remaining Challenges. GAO-03-138. Washington, D.C.: Government Printing Office.
28. Wheeler, S., and K. Pany. 1990. Assessing the performance of analytical procedures: A best case scenario. The Accounting Review 65: 557-577.
29. Wild, J. J. 1987. The prediction performance of a structural model of accounting numbers. Journal of Accounting Research (Spring): 139-160.
30. _, and F. S. Biggs. 1990. Strategic consideration for unaudited account values in analytical review. The Accounting Review 65 (January): 227-241.
31. Wright, S., and A. Wright 1997. The effect of industry experience on hypothesis generation and audit planning decisions. Behavioral Research in Accounting (Spring): 273-294.