This paper provides a comprehensive review of the empirical literature in transaction cost economics (TCE) across multiple social science disciplines and business fields. We show how TCE has branched out from its economic roots to examine empirical phenomena in several other areas. We find TCE is increasingly being applied not only to business-related fields such as accounting, finance, marketing, and organizational theory, but also to areas outside of business including political science, law, public policy, and agriculture and health. With few exceptions, however, the use of TCE reasoning to inform empirical research in these areas is piecemeal. We find that there is considerable support of many of the central tenets of TCE, but we also observe a number of lingering theoretical and empirical issues that need to be addressed. We conclude by discussing the implications of these issues and outlining directions for future theoretical and empirical work. *We thank Erin Anderson, Christopher Boerner, Scott Masten, Jackson Nickerson, Brian Silverman and especially Oliver Williamson for valuable comments and suggestions. Additional thanks go to Mark Marvelli and Nataliya Kuribko for excellent research assistance. The authors are solely responsible for any errors and omissions, though they ask readers to understand that omissions will be inevitable.Macher and Richman 1

In a time-driven activity-based costing study in a large academic health care system with a certified electronic health record system, the estimated costs of billing and insurance-related activities ranged from $20 for a primary care visit to $215 for an inpatient surgical procedure. Knowledge of how specific billing and insurance-related activities contribute to administrative costs may help inform policy solutions to reduce these expenses.

This paper addresses the contradictory results obtained by Segal (1997) and Spiller and Gely (1992) concerning the impact of institutional constraints on the U.S. Supreme Court's decision making. By adapting the Spiller and Gely maximum likelihood model to the Segal dataset, we find support for the hypothesis that the Court adjusts its decisions to presidential and congressional preferences. Data from 1947 to 1992 indicate that the average probability of the Court being constrained has been approximately one-third. Further, we show that the results obtained by Segal are the product of biases introduced by a misspecified econometric model. We also discuss how our estimation highlights the usefulness of Krehbiel's model of legislative decision making.

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