Meet the “born efficient” financial institutions: Evidence from the boom years of US REITs

Ihsan Isik, John C. Topuz

Research output: Contribution to journalReview articlepeer-review

15 Scopus citations

Abstract

The theory and evidence demonstrate that new entrants suffer from several ‘liabilities of newness’ and tend to underperform the incumbent established firms. This study, using the Data Envelopment Analysis (DEA) approach and an eleven-year dataset from the 1990s, a period famed with the highest number of REIT entries, analyzes the evolution of cost, allocative, managerial, pure managerial and scale managerial efficiencies of de novo REITs during their life cycle. Our results show that de novo REITs, especially the newest ones, significantly outclass the incumbents in terms of operational efficiency, suggesting that unlike their most brethren in other industries, modern REITs are “born efficient”. Our empirical and anecdotal inquiries point to some ex ante and ex post factors, such as smart regulations, right timing, large entry size, rich congenital experience, access to finance, lower leverage, institutional mentoring and investment, property and geographic focus, public life, innovativeness, and above all, active and self-management as the likely reasons for the distinctiveness of the new REITs. Moreover, under market and competitive pressures, the superior practices of these Schumpeterian entrepreneurs are copied and gradually disseminated across the industry. Evidently, further study of the ecologies, which attract such “born efficient” firms, has promising research, wealth and welfare effects.

Original languageEnglish (US)
Pages (from-to)70-99
Number of pages30
JournalQuarterly Review of Economics and Finance
Volume66
DOIs
StatePublished - Nov 2017

All Science Journal Classification (ASJC) codes

  • Finance
  • Economics and Econometrics

Fingerprint

Dive into the research topics of 'Meet the “born efficient” financial institutions: Evidence from the boom years of US REITs'. Together they form a unique fingerprint.

Cite this