Who are your peers?

Nan Hu, Ling Liu, Haeyoung Shin and Jin Zhang

International Journal of Accounting & Information Management, 2010, vol. 18, issue 2, 140-155

Abstract: Purpose - The purpose of this paper is to propose and evaluate a new matching sample comparison method, the industry size peer matching method. Design/methodology/approach - Based on archival financial data from Compustat and econometric methods, the paper first validates that such a method will result in firms being divided into more homogenous groups, making peer‐performance comparison more meaningful. Then it compares this new peer matching method with previous methods through two resource‐based related studies in the IT valuation context. Findings - The results show that the industry size matching method is a better method because: it is theoretically grounded, addressing industry, size, and random shock effects and, at the same time, avoids the selection bias caused by using a single firm as benchmark; and empirically such a technique results in more homogeneous groups and can explain more firm‐level returns than the industry‐only classification. Originality/value - Matched sample comparison group analysis is widely used in both academy and industry. The paper's theoretically grounds and empirically validated matching sample comparison method provides researchers and practitioners with a tool for their future research, performance evaluation, earning management detection, or compensation contract design, when selecting the right peers is called for.

Keywords: Peer review; Sampling methods; Communication technologies; Business performance (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.emerald.com/insight/content/doi/10.110 ... d&utm_campaign=repec (text/html)
https://www.emerald.com/insight/content/doi/10.110 ... d&utm_campaign=repec (application/pdf)
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eme:ijaimp:v:18:y:2010:i:2:p:140-155

DOI: 10.1108/18347641011048129

Access Statistics for this article

International Journal of Accounting & Information Management is currently edited by Dr Xin (Robert) Luo and Professor Han Donker

More articles in International Journal of Accounting & Information Management from Emerald Group Publishing Limited
Bibliographic data for series maintained by Emerald Support ().