ECONOMIES OF SIZE REVISITED

Empirical and theoretical investigations as to how firms evolve in size have been of interest to economists, agricultural economists and policymakers for decades. While returns to size have been frequently estimated, measurement has been carried out using a wide range of methodological approaches. This paper offers a critique and discussion of the conceptual and methodological issues surrounding the measurement of size economies.     

How one hospital broke its inflation fever

The Johns Hopkins Hospital has demonstrated that hospital costs can be decreased without governmental intervention (controls). From 1975 to 1978, the hospital inflation rate was cut by half. One key factor, according to Solomon, was a move to decentralize management which was accompanied by a detailed system for monitoring costs. Also instrumental were administration's consistent reminders to physicians and managers about keeping costs down. The hospital was reorganized from a system of clinical departments that behaved, says Solomon, like "fiefdoms" into 14 autonomous departments that function under their own budgets. Each department controls about 85% of its costs (up from 30%), and is set up to function "like a small business." A breakdown of where cost reductions took place shows a savings of $5 million in overhead and $1.5 million in malpractice claims (Hopkins self-insured). Individual departments have also achieved some dramatic reductions: the Department of Medicine decreased the number of laboratory tests ordered; and the Department of Gynecology and Obstetrics built a new facility with fewer beds than the old one.     

Hypothesis testing based on goodness-of-fit in the moving average time series model

Small sample properties of t-tests are compared with those of tests based on relative goodness- of-fit in the context of the first order moving average time series model. Monte Carlo experiments reported in the paper suggest that the actual size of these t-tests greatly exceeds theoretical large sample significance levels, while conformity of goodness-of-fit statistics to the appropriate chi-square or F-distributions is much closer. The evidence presented suggests that practitioners are well advised to employ goodness-of-fit tests as a check on results of t-tests particularly when the latter indicate ‘significance’.     

The Year in Review: Economics at the Antitrust Division 2003–2004

This paper covers the activities of the Economic Analysis Group (EAG), during 2003–2004. It describes the economic analysis undertaken by EAG in several important investigations, litigations, and administrative and appellate matters.The authors are, respectively, Deputy Assistant Attorney General for Economics, U.S. Department of Justice, Antitrust Division, and Economics Director of Enforcement, U.S. Department of Justice, Antitrust Division. The views contained herein are solely those of the authors and do not necessarily represent those of the U.S. Department of Justice.