Bias of distance functions estimates and Primont and Primont’s homotheticity test

The question of whether a technology exhibits particular properties such as radial input or output homotheticity is a crucial one for a producer since it should strongly impact on its reactions to market changes. Primont and Primont (Econ Lett 45:191–195, 1994) established that it can be tested using only weak assumptions. They further used their results to test for input homotheticity of an educational production technology (Primont and Primont, Can J Econ 29:587–591, 1996). In this paper, it is shown that if not implemented properly, the test can lead to biased results. Some ways to obtain unbiased results are also suggested.

Are some Indian banks too large? An examination of size efficiency in Indian banking

In this paper we use data from the years 1997–2003 to evaluate the size efficiency, as distinct from scale efficiency, of Indian banks. Following Maindiratta [Maindiratta A (1990) J Econ 46:39–56] we consider a bank to be “too large” if breaking it up into a number of smaller units would result in a larger output bundle than what could be produced from the same input by a single bank. When this is the case, the bank is not size efficient. Our analysis shows that many of the banks are, indeed, too large in various years. We also find that often a bank is operating in the region of diminishing returns to scale but is not a candidate for break up.

Matching in local labor markets: a stochastic frontier approach

This paper investigates the technical efficiency of labor market matching from a stochastic frontier approach. The true fixed-effects model (Greene J Prod Anal 23:7–32, 2005a; J Econom 126:269–303, 2005b) is utilised in order to separate cross-sectional heterogeneity from inefficiency, and inefficiency terms are modelled following Battese and Coelli (Empir Econ 20:325–332, 1995). The data set consists of almost 17,000 observations from Local Labor Offices (LLOs) in Finland. According to the results, there are notable differences in matching efficiency between regions, and these differences contribute significantly to the number of filled vacancies. If all regions were as efficient as the most efficient one, the number of total matches per month would increase by over 23%. The heterogeneity of the job-seeker stock is an important determinant of matching efficiency: the weight of the composition of the job-seeker stock in the inefficiency terms is on average 85%.

U.S. productivity in agriculture and R&D

This paper examines the impact of R&D on multifactor productivity in the U.S. agricultural sector over the 1910–1990 period. We use the Bennet–Bowley indicator to measure agricultural productivity based on a multiple output-multiple input technology. We demonstrate the relationship between the price dependent Bennet–Bowley indicator and the Luenberger productivity indicator which is constructed from directional distance functions without requiring price information. These performance measures are dual to the profit function which arguably makes them especially useful in the agricultural setting. We employ time-series techniques to investigate the effect of R&D on the pattern of productivity growth. We find that we cannot reject the presence of a cointegrating relationship between the two series and that productivity growth in the U.S. agriculture responds positively to R&D expenditure with a lag of between four and ten periods.

Trade,wages, and the specific factors model: empirical evidence from manufacturing industries in Ghana

This study analyzes the impact of trade on wages in the context of the specific factors model by focusing on the link between trade and the average real wage. A recent paper by Jones and Ruffin (Rev Int Econ, 16:234–249, 2008) shows how one can use the specific factors model to predict how labor should fare from an improvement in the terms of trade. For this purpose, I use annual firm-level data on the manufacturing sector in Ghana during the period 1991–1997. I find that a ceteris paribus increase in the price of exportables in the wood industry would help labor but labor would be hurt by price increases in the food-baker, furniture, textile-garment, and metal-machinery industries.

Some models and measures for evaluating performances with DEA: past accomplishments and future prospects

This paper covers some of the past accomplishments of DEA (Data Envelopment Analysis) and some of its future prospects. It starts with the “engineering-science” definitions of efficiency and uses the duality theory of linear programming to show how, in DEA, they can be related to the Pareto–Koopmans definitions used in “welfare economics” as well as in the economic theory of production. Some of the models that have now been developed for implementing these concepts are then described and properties of these models and the associated measures of efficiency are examined for weaknesses and strengths along with measures of distance that may be used to determine their optimal values. Relations between the models are also demonstrated en route to delineating paths for future developments. These include extensions to different objectives such as “satisfactory” versus “full” (or “strong”) efficiency. They also include extensions from “efficiency” to “effectiveness” evaluations of performances as well as extensions to evaluate social-economic performances of countries and other entities where “inputs” and “outputs” give way to other categories in which increases and decreases are located in the numerator or denominator of the ratio (=engineering-science) definition of efficiency in a manner analogous to the way output (in the numerator) and input (in the denominator) are usually positioned in the fractional programming form of DEA. Beginnings in each of these extensions are noted and the role of applications in bringing further possibilities to the fore is highlighted.

Estimating DEA technical and allocative inefficiency using aggregate cost or revenue data

In this paper, we address the question of Data Envelopment Analysis (DEA) evaluation of efficiency when aggregate cost or revenue data must be used. We show that the DEA technical inefficiency measure using total revenues as the single output variable or total costs as the single input variable equals the aggregate technical and allocative inefficiency. We employ this result to estimate allocative inefficiency and construct statistical tests of the null hypothesis of no allocative inefficiency analogous to those of the null hypothesis of no scale inefficiency. We illustrate our method using revenue and personnel data for the top U.S. public accounting firms over 1995–1998. Our empirical results indicate the existence of statistically significant allocative inefficiency in the public accounting industry.

Investment and dynamic DEA

A dynamic version of data envelopment analysis (DEA) is developed in the present paper. Our model introduces investment in traditional DEA and imposes intertemporal cost minimization. Adding an intertemporal adjustment constraint into the cost minimization problem, we derive the relation between the DEA variables of the variable cost function and those of the primary production frontiers’ coefficients. The augmented DEA model can be solved using standard linear programming. This dynamic framework enables computing the production frontiers, measuring the productive efficiencies and evaluating the potential economies all in the presence of adjustment costs.

On the inefficiency of European socialist economies

This paper aims at comparing macroeconomic performance of three European socialist economies (Hungary, Poland, Yugoslavia) with developing and developed countries during the 1970s and the 1980s. Using panel data for 89 countries, we measure macroeconomic performance with two panel data production frontier models: the WITHIN model proposed by (Cornwell et al J Econom 46:185–200, 1990), and the firm effects model developed by (Battese and Coelli J Prod Anal 3:153–169, 1992). We conclude in favor of the underperformance of socialist countries in relation to developed countries but also to developing countries in most cases, which may be explained by the features of the socialist economic system.

Testing for infinite order stochastic dominance with applications to finance, risk and income inequality

In this paper we develop a test of infinite order degree stochastic dominance based on the use of the empirical Laplace transform function. Two applications are considered. One uses the income data of Anderson (Econometrica 64:1183–1193, 1996) and derives results consistent with his. In the other application we examine the dominance between the U.S. and U.K. stock markets. Using data on the S&P 500 and the FTALL-Share we show that the U.S. displays infinite order degree stochastic dominance of the U.K.

Reallocation and productivity growth in Japan: revisiting the lost decade of the 1990s

Hayashi and Prescott (Rev Econ Dyn 5(1):206–235, 2002) argue that the ‘lost decade’ of the 1990s in Japan is explained by the slowdown in exogenous TFP growth rates. At the same time, other research suggests that Japanese banks’ support for inefficient firms prolonged recessions by reducing productivity through misallocation of resources. Using the data on large manufacturing firms between 1969 and 1996, the paper attempts to disentangle the factors behind the slowdown in productivity growth during the 1990s. The main results show that there was a significant drop in within-firm productivity, the component that is not affected by reallocation of input and output shares across firms over time, during the 1990s. Although we find that misallocation among large continuing firms represents a substantial drag to overall TFP growth for these firms throughout the sample period, the negative impact of misallocation was least visible during the 1990s. The significant reduction in within-firm productivity growth suggests that, as the Japanese economy has matured, a policy which fosters technological innovations via greater competition, R&D, and fast technological adoption may have become increasingly important in promoting economic growth.

The impact of patents and standards on macroeconomic growth: a panel approach covering four countries and 12 sectors

Based on the assumption that codified technological know-how contributes to economic growth, this paper presents the estimation of a Cobb–Douglas production function, pooling data from four European countries and 12 sectors. The empirical results confirm that both the stock of patents and the stock of technical standards contribute significantly to economic growth in the 1990s. Whereas the results of the country models are rather similar, we observe significant differences between the sector models, which indicate that standards are more important for growth in less R&D-intensive industries and patents in R&D-intensive industries.

The Neuer Markt as an institution of creation and destruction

The market for publicly traded equity is the heart of a modern capitalist system. In particular, the market for newly listed firms is in turn a bellwether for the public equity market because the entry gives firms expanded access to capital, allowing them to emerge and grow. On the other hand, stock markets also serve as an institution to reallocate productive resources from non-surviving to surviving firms. We describe the Neuer Markt—a special segment of the Frankfurt Stock Exchange in Germany—as an institution to foster the creation of new firms and their destruction.

Opening the black box: Finding the source of cost inefficiency

Parametric and nonparametric procedures are used to identify the apparent source of cost inefficiency in banking. Inefficiencies of 20–25% from earlier studies are reduced to 1–5% when, in addition to commonly specified cost function influences, variables reflecting banks’ external business environment and industry indicators of “productivity” are added. These productivity indicators explain most of the reduction in bank operating cost over 1992–2001 and was 5 times the reduction in the dispersion of inefficiency. Inefficiency appears stable over time because it is small relative to industry-wide cost changes occurring concurrently and because technology dispersion is imperfect.

The Feldstein–Horioka puzzle in Latin American and Caribbean countries: a panel cointegration analysis

In this paper, the recently developed panel unit root and the Pedroni cointegration tests are applied to empirically examine the validity of the Feldstein–Horioka puzzle (F–H puzzle) for a heterogeneous panel of 14 Latin American and five Caribbean countries over the period, 1960–2002. The findings indicate that in these countries, the long-run solvency condition is maintained. Finally, employing the Pedroni panel group FM-OLS estimator (2000, 2001), it is found that the statistically significant estimated savings-retention coefficient for the panel is relatively small indicating that the F–H Puzzle is not valid and thus implying the prevalence of a moderate degree of capital mobility.

The efficiency of Spanish arable crop organic farms,a local maximum likelihood approach

The methodologies that have been used in existing research to assess the efficiency with which organic farms are operating are generally based either on the stochastic frontier methodology or on a deterministic non-parametric approach. Recently, Kumbhakar et al. (J Econom 137:1–27, 2007) proposed a new nonparametric, stochastic method based on the local maximum likelihood principle. We use this methodology to compare the efficiency ratings of organic and conventional arable crop farms in the Spanish region of Andalucía. Nonparametrically encompassing the stochastic frontier model is especially useful when comparing the performance of two groups that are likely to be characterized by different production technologies.

Do we estimate an input or an output distance function? An application of the mixture approach to European railways

In this paper, we estimate parametric input and output distance functions and discuss how to estimate a mixture/latent class model (LCM) involving the output and input distance functions in the context of multi-input and multi-output production technology. The proposed technique is applied to a panel data on European Railways (1971–1994). This model allows us to identify determinants of the efficiency orientation, thereby providing useful information that can help researchers to choose between the input and the output-oriented approaches. In addition, we develop cross-indices that can be used to compute input (output) technical inefficiency from the estimates of output (input) distance function.

Far out or alone in the crowd: a taxonomy of peers in DEA

A method is presented for classifying strongly efficient units in DEA as interior or exterior, and as self-evaluators or active peers. The exterior strongly efficient units are found by running the enveloping procedure “from below”. There is no firm production-function evidence of the efficiency of exterior self-evaluators. Interior self-evaluators are more likely to have active peers as neighbours in more directions and may therefore represent technology. When performing a second stage regression analysis of efficiency scores, exterior self-evaluators should be removed. The proportion of exterior active peers also provides information on whether the variable specification is supported by the data.

Recouping Training and Development Costs Using Preemployment Agreements

The dollars associated with training and development investments for organizations are considerable. Employers are unable to recoup these expenditures if workers leave the firm before it has had an opportunity to realize the benefits of such training. To assist businesses in maximizing their return on investments in human capital, it is suggested that training and development professionals and legal counsel examine the applicability of preemployment agreements to recover their training expenses. Such cost-sharing agreements—provided they are clear and narrowly written, reasonable, moderate, and serve legitimate business interests—are permissible contracts that require employees to continue in service for a period of time or reimburse the organization an agreed-upon sum if they leave before an agreed-upon time.

On understanding mutual fund terminations

We examine the determinants of US mutual fund terminations and provide estimates of mutual fund hazard functions. We find that mutual fund termination correlates with a variety of fund specific variables as well as with market variables such as the S&P 500 index and the short-term interest rate. We also test the underlying assumptions of the semi-parametric Cox model and reject proportionality, thus calling to question the use of this model in forming estimates of mutual fund hazard functions. We find that different fund categories exhibit distinct hazard functions depending on the fund’s investment objectives.