2026-09-23T18:52:05Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/78349 2023-07-11 col_2142_5131 col_2142_16440 com_2142_5130 com_2142_16439 com_2142_9216

Li, Laura Yue Li, Laura Yue Sougiannis, Theodore Donohoe , Michael Liang, Feng Chang, Hye Sun 2015-07-22T22:16:28Z 2015-07-22T22:16:28Z 2015-05 2015-04-20 The identification of estimation samples is important for estimating discretionary accruals using an accrual model. This study proposes an alternative identification of estimation samples using a firm’s life cycle (i.e., life cycle-based estimation samples). Analyses using U.S. and international data show that when detecting accrual manipulation, life cycle-based estimation samples outperform industry-based or size-based estimation samples in sample retention, specification, and detection power. Improved detection power by life cycle-based estimation samples is also evident in the AAERs sample. Lastly, I reexamine Dechow, Richardson, and Tuna (DRT) (2003) and Teoh, Wong, and Rao (TWR) (1998) applying life cycle-based estimation samples. I find that life cycle-based estimation samples change the inferences from DRT by improving test power and mitigate misspecification in TWR. Collectively, the current study provides empirical evidence that supports the use of life cycle-based estimation samples over other existing estimation samples. Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2015-07-22 without embargo terms The student, Hye Sun Chang, accepted the attached license on 2015-04-19 at 12:29. The student, Hye Sun Chang, submitted this Dissertation for approval on 2015-04-19 at 12:33. This Dissertation was approved for publication on 2015-04-20 at 11:02. DSpace SAF Submission Ingestion Package generated from Vireo submission #7787 on 2015-07-22 at 10:31:25 Made available in DSpace on 2015-07-22T22:16:28Z (GMT). No. of bitstreams: 2 CHANG-DISSERTATION-2015.pdf: 1467439 bytes, checksum: 970b3baf3e0bdb3542e7c43e968b7ba0 (MD5) LICENSE.txt: 4210 bytes, checksum: 9045ac9693f377d690c963dd65e83916 (MD5) Previous issue date: 2015-04-20 application/pdf http://hdl.handle.net/2142/78349 en Copyright 2015 Hye Sun Chang firm life cycle estimation samples discretionary accruals earnings management Firm life cycle and detection of accrual-based earnings manipulation text text 2015-5 Accountancy Accountancy University of Illinois at Urbana-Champaign Dissertation Ph.D.