Establishing a Pecking Order forFinanceAcademics: Ranking of U.S.FinanceDoctoral Programs

ArXiv ID: ssrn-969413 “View on arXiv”

Authors: Unknown

Abstract

Ranking of colleges, programs, departments and faculty has reached a feverish pitch in recent years. Missing from the vast list of rankings is research covering

Keywords: college rankings, research productivity, academic performance, higher education metrics, Intangible Assets / Education

Complexity vs Empirical Score

• Math Complexity: 0.0/10
• Empirical Rigor: 3.0/10
• Quadrant: Philosophers
• Why: The paper is a survey-based ranking study with no mathematical derivations or formulas, placing it in the low math category. While it involves data collection and statistical tabulations, the methodology is descriptive rather than experimental, resulting in moderate empirical rigor.

  flowchart TD
    A["Research Goal<br>Rank U.S. Finance Doctoral Programs<br>by Research Productivity"] --> B["Methodology<br>Faculty Author Count Analysis"]
    
    B --> C["Data Inputs<br>Finance Doctoral Faculty<br>SSRN & JSTOR Publications"]
    
    C --> D["Computational Process<br>Weighted Author Affiliation<br>& Publication Citation Metrics"]
    
    D --> E["Key Findings<br>Established Pecking Order<br>Top Programs Identified"]