No abstract

For scientific use, stochastic frontier estimates of hospital efficiency must be robust to plausible departures from the assumptions made by the investigator. Comparisons of alternative study designs, each well within the 'accepted' range according to current practice, generate similar mean inefficiencies but substantially different hospital rankings. The three alternative study contrasts feature (1) pooling vs partitioned estimates, (2) a cost function dual to a homothetic production process vs the translog, and (3) two conceptually valid but empirically different cost-of-capital measures. The results suggest caution regarding the use of frontier methods to rank individual hospitals, a use that seems to be required for reimbursement incentives, but they are robust when generating comparisons of hospital group mean inefficiencies, such as testing models that compare non-profits and for-profits by economic inefficiency. Demonstrations find little or no efficiency differences between these paired groups: non-profit vs for-profit; teaching vs non-teaching; urban vs rural; high percent of Medicare reliant vs low percent; and chain vs independent hospitals.

Using bank balance sheet data for Croatia for 1994 to 2000, this study estimates a Fourier-flexible frontier cost function. Specification tests indicate that the stochastic frontier model with a Fourier-flexible form with a truncated normal distribution of the inefficiency term allowing for time varying cost efficiency is preferred. The results show that new private and privatized banks, contrary to some expectations, are not the most efficient banks through most of the period. Privatization also does not seem to have an immediate effect on improved efficiency. However, better cost efficiency is associated with a lower likelihood of failure, suggesting that better risk management and better cost management are signs of better management in general. Finally, foreign banks have substantially better efficiency scores than all categories of domestic banks.

We investigate how closely NBA teams play up to their potential. We find that shooting, rebounding, stealing the ball and blocking shots raise the number of potential wins while turnovers lower it. We also learn that better coaching and defensive prowess raise a team's win efficiency. Copyright © 2006 John Wiley & Sons, Ltd.

We present in this paper a plausible and simple method of estimating the two components (frictional and excess supply) of unemployment. This approach uses a stochastic model whose error term is composed of two elements-the usual two-sided error and a one-sided error. Our method has several strengths. First, we are able to explicitly model the universally held view that there is a nonzero lower bound on unemployment. Second, we can easily determine whether each region's unemployment rate is caused primarily by excess supply or frictional forces. We illustrate our technique on a data set comprised of all 50 states over the period 1960-1979. Finally, estimation of the frictional rates of unemployment allows us to analyze, in the last part of the paper, the underlying economic and demographic determinants of differences in frictional unemployment rates across states and over time.