This paper analyzes the technical efficiency of group home care for the developmentally disabled in the Detroit metropolitan area. Linear programming methods are used to construct a production frontier that allows measurement of relative technical efficiency among homes in the sample. A sensitivity analysis is performed to identify influential observations in the data that might result from measurement error that could distort the efficiency measures. A regression analysis is undertaken to examine the effect of various factors on measured efficiency. Policy implications are discussed in the concluding section.

Joseph V. Terza, Paul W. Wilson, Analyzing Frequencies of Several Types of Events: A Mixed Multinomial- Poisson Approach, The Review of Economics and Statistics, Vol. 72, No. 1 (Feb., 1990), pp. 108-115

U.S. credit unions serve 93 million members, hold 10% of U.S. savings deposits, and make 13.2% of all nonrevolving consumer loans. Since 1985, the share of U.S. depository institution assets held by credit unions has nearly doubled, and the average (inflation-adjusted) size of credit unions has increased over 600%. We use a local-linear estimator, dimesion-reduction techniques, and bootstrap methods to estimate and make inference about ray scale and expansion-path scale economies. We find substantial evidence of increasing returns to scale among credit unions of all sizes, suggesting that further consolidation and growth among credit unions are likely.

This paper seeks to identify the characteristics that make individual U.S. banks more likely to fail or be acquired. We use bank-specific information to estimate competing-risks hazard models with time-varying covariates. We use alternative measures of productive efficiency to proxy management quality, and find that inefficiency increases the risk of failure while reducing the probability of a bank's being acquired. Finally, we show that the closer to insolvency a bank is (as reflected by a low equity-to-assets ratio) the more likely is its acquisition.

This paper uses micro-level historical data to examine the causes of bank failure.For statecharactered Kansas banks during 19 10-28, time-to-failure is explicitly modeled using a proportional hazards framework.In addition to standard financial ratios, this study includes membership in the voluntary state deposit insurance system and measures of technical efficiency to explain bank failure.The results indicate that deposit insurance system membership increased theprobability of failure and banks which were technically inefficient were more likely to fail than technically efficient banks.

Advances in information-processing technology have eroded the advantages of small scale and proximity to customers that traditionally enabled small lenders to thrive. Nonetheless, the membership and market share of US credit unions have increased, though their average size has also risen. We investigate changes in the efficiency and productivity of US credit unions during 1989–2006 by benchmarking the performance of individual firms against an estimated order-α quantile lying “near” the efficient frontier. We construct a cost analog of the Malmquist productivity index, which we decompose to estimate changes in cost and scale efficiency, and changes in technology. We find that cost-productivity fell on average across all credit unions but especially among smaller credit unions. Smaller credit unions confronted a shift in technology that increased the minimum cost required to produce given amounts of output. All but the largest credit unions also became less scale efficient over time.

Experimental data have consistently shown diversity in beliefs as well as in actions among experimental subjects. This paper presents and compares alternative behavioral econometric models for the characterization of player heterogeneity, both between and within subpopulations of players. In particular, two econometric models of diversity within sub-populations of players are investigated, one using a model of computational errors and the other allowing for diversity in prior beliefs around a modal prior for the subpopulation.

As the dominant provider of payments services, the efficiency with which the Federal Reserve provides such services is an important public policy issue. This paper examines the productivity of Federal Reserve check-processing offices during 1980–1999 using non-parametric estimation methods and newly developed methods for non-parametric inference and hypothesis testing. The results support prior studies that found little initial improvement in the Fed's efficiency with the imposition of pricing for Federal Reserve services in 1982. However, we find that median productivity improved substantially during the 1990s, and the dispersion of productivity across Fed offices declined.