Is performance driven by industry-or firm-specific factors? A response to Hawawini, Subramanian, and Verdin

• 成果类型: Editorial Material
• 署名作者: McNamara, G; Aime, F; Vaaler, PM
• 署名单位: Michigan State University; Michigan State University's Broad College of Business; University of Illinois System; University of Illinois Urbana-Champaign
• 刊物名称: STRATEGIC MANAGEMENT JOURNAL
• ISSN/ISSBN: 0143-2095
• DOI: 10.1002/smj.496
• 发表日期: 2005
• 页码: 1075-1081
• 关键词: variance components; outliers; industry and firm effects

摘要

Hawawini, Subramanian, and Verdin (2003) examined the relative impact of industry- vs. firm-level factors shaping firm performance. They demonstrated that variance in firm performance attributable to industry-level factors increases, while variance attributable t to firm-level factors decreases when 'exceptionally' higher- and lower-performing 'outlier' firms in each industry are excluded. They concluded that previous research underestimated the relative impact of industry-level factors for 'average' firms that make up the bulk of an industry. We take issue with their methods used to identify and exclude outliers as well as their conclusions drawn from such analyses. Rather than excluding true 'outlier' firms, we argue that they incorporated an artificial restriction of within-industry sample variance that almost deterministically led to lower firm and higher industry variance component estimates. We demonstrate this point with a comparable sample of data to which we apply progressively greater restrictions on within-industry sample variance leading to similar results. Finally, we show that exclusion of firms from a data sample based on commonly understood standards of outlier identification leads to little change in industry and firm variance component estimates compared to full-sample estimates. Copyright (c) 2005 John Wiley & Sons, Ltd.