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%.

Interest rate and bank stock returns asymmetry: Evidence from U.S. banks

We use the multivariate extension of Exponential Generalized Autoregressive Conditionally Heteroscedastic (EGARCH) of Nelson, Econometrica, 59: 347–370, 1991 to test for spillover effects and examine the extent of asymmetries between short- and long-term interest rates and portfolios of money center, large, and medium-size banks in the U.S. Our results indicate the existence of price and volatility spillovers from short- and long-term interest rates to the three bank portfolios. We also provide evidence of response asymmetries for the portfolios of money center and large banks, suggesting that money center and large banks are more sensitive to negative than positive short- and long-term interest rate changes.

The permanent income hypothesis in five major industrial countries: a multivariate trend-cycle decomposition test

This paper presents a new test of the permanent income hypothesis in five major industrial countries. The test first decomposes consumption and income into their long run trend (permanent) and short run cyclical (transitory) components, using the recently developed multivariate stochastic detrending approach developed by Vahid and Engle (1997), among others. This approach exploits the presence of possible common stochastic trends and cycles among the variables in the system to arrive at a more efficient decomposition of these variables. Using the decomposition results, and in contrast to many articles in the literature, the paper finds support for the permanent income hypothesis. Specifically, the paper finds that, while permanent consumption is related to permanent income, transitory consumption is related to neither permanent nor transitory income.

Application of a double bootstrap to investigation of determinants of technical efficiency of farms in Central Europe

The paper provides one of the first applications of the double bootstrap procedure (Simar and Wilson 2007) in a two-stage estimation of the effect of environmental variables on non-parametric estimates of technical efficiency. This procedure enables consistent inference within models explaining efficiency scores, while simultaneously producing standard errors and confidence intervals for these efficiency scores. The application is to 88 livestock and 256 crop farms in the Czech Republic, split into individual and corporate.

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.

Stochastic frontier models with multiple time-varying individual effects

This paper proposes a flexible time-varying stochastic frontier model. Similarly to Lee and Schmidt [1993, In: Fried H, Lovell CAK, Schmidt S (eds) The measurement of productive efficiency: techniques and applications. Oxford University Press, Oxford], we assume that individual firms’ technical inefficiencies vary over time. However, the model, which we call the “multiple time-varying individual effects” model, is more general in that it allows multiple factors determining firm-specific time-varying technical inefficiencies. This allows the temporal pattern of inefficiency to vary over firms. The number of such factors can be consistently estimated. The model is applied to data on Indonesian rice farms, and the changes in the efficiency rankings of farms over time demonstrate the model’s flexibility.

Measuring performance in the presence of stochastic demand for hospital services: an analysis of Belgian general care hospitals

Since demand for hospital services is subject to substantial variability, the relationship between uncertain demand, excess capacity, hospital costs and performance should be investigated thoroughly. In this paper a waiting time indicator to proxy hospital standby capacity is incorporated into a multi-product translog cost function for Belgian general care hospitals. The indicator is derived from queuing theory and improves on the conventionally used (inverse of the) occupancy rate. The multi-product stochastic frontier specification allows calculation of cost elasticities and marginal cost of seven hospital departments, as well as the degree of economies of scale and scope and enables identification of differences in efficiency.

The J-Curve: Evidence from commodity trade between Canada and the U.S.

Several studies in the literature have tried to assess the impact of real depreciation of the Canadian dollar on the Canadian trade balance. They have either relied on the trade data between Canada and the rest of the world or between Canada and her major trading partners. In this paper we consider the trade between Canada and her major trading partner, the U.S. However, unlike previous research, we disaggregate the trade data between the two countries by commodity. We use export and import data over the period 1962–2004 from 152 commodities and the bounds testing approach to cointegration and error-correction modeling and show that real depreciation of the Canadian dollar has short-run effects on the trade balance of two-thirds of the industries. However, only in 50% of the industries, the short-run effects translate into the long-run favorable effects.

Expense preference behavior and management “outsourcing”: a comparison of adopters and non-adopters of contract management in U.S. hospitals

Specialized managerial expertise, coupled with the threat of non-renewal should improve efficiency in firms that opt for contract management arrangements. To examine this we apply a generalized version of tests for expense preference behavior to U.S. hospitals in the 1990s. Extending prior literature, we create a quasi-experimental design for a comparison of adopters and non-adopters of contracts using propensity score methods. We generate the distribution of ‘expense preference’ parameters for all contract adopters in both the pre- and post-adoption states, and for a matched control group of non-adopters over the same period. Our results show that contract adoption leads to reduced expense preference behavior, but that this result depends critically on the input being examined.

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.

The effect of marketing regulations on efficiency: LeChatelier versus coordination effects

Government regulations designed to promote social welfare can have unintended consequences on efficiency. According to the LeChatelier Principle, regulations that effectively limit substitution possibilities among inputs will reduce firm and industry-wide efficiency. In imperfectly competitive markets, however, government constraints on a strategic variable can facilitate coordination. An advertising restriction, for example, would improve efficiency if it enables firms to produce the same level of sales with less advertising spending. We use data envelopment analysis to estimate the effect of marketing regulations on efficiency in the U.S. cigarette industry. Unlike previous studies, we do not assume that marketing and production technologies are separable. Our results demonstrate that coordination effects dominate LeChatelier effects. Cigarette producers have benefited from advertising restrictions, a result consistent with the capture theory of regulation.

The Obama effect

Many observers argued that Barack Obama’s candidacy in the U.S. presidential election of 2008 benefited from the financial crisis and recessionary economic conditions which voters blamed on the Republican administration. However, an empirical examination of stock price and public opinion data indicates that improvements in Obama’s electoral prospects led stock price declines and that gains by Obama were more likely to be followed by falling stock prices than by rising prices. This evidence suggests that the poor performance of the stock market in the days leading up to Obama’s victory was partly caused by, rather than causing, Obama’s success.

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.

Smoking prevalence in the United States: Differences across socioeconomic groups

This paper uses recent US state-level data to examine smoking behavior across four population groups divided by age, literacy, income and ethnicity. Another contribution lies in the consideration of various smoking control policies and the full costs of smoking. Overall, the results show that non-price smoking policies are relatively more effective than price or tax policies in reducing smoking prevalence and that these policies gain effectiveness as the population begins to age.

The productivity performance of Irish dairy farms 1984–2000: a multiple output distance function approach

This study measures productivity growth on Irish dairy farms over the period 1984–2000. A total factor productivity index is constructed for the dairy system and is decomposed into technical change, efficiency change, and changes in scale efficiency. This is achieved by estimating a stochastic output distance function model of the production technology in use on Irish dairy farms. Overall, productivity on Irish dairy farms grew by 1.2% per annum over the sample period.

Shadow profit maximization and a measure of overall inefficiency

Determining the profit maximizing input–output bundle of a firm requires data on prices. This paper shows how endogenously determined shadow prices can be used in place of actual prices to obtain the optimal input–output bundle where the firm’s shadow profit is maximized. This approach amounts to an application of the Weak Axiom of Profit Maximization (WAPM) formulated by Varian [(1984) The Non-parametric approach to production analysis. Econometrica 52:3 (May) 579–597] based on shadow prices rather than actual prices. At these shadow prices, the shadow profit of a firm is zero. The maximum shadow profit that could have been attained at some other input–output bundle is shown to be a measure of the inefficiency of the firm. Because the benchmark input–output bundle is always an observed bundle from the data, it can be determined without having to solve any elaborate programming problem.

Model selection in stochastic frontier analysis with an application to maize production in Kenya

This paper shows how to compute the standard errors for partial effects of exogenous firm characteristics influencing firm inefficiency under a range of popular stochastic frontier model specifications. We also develop an R²-type measure to summarize the overall explanatory power of the exogenous factors on firm inefficiency. The paper also applies a recently developed model selection procedure to choose among alternative stochastic frontier specifications using data from household maize production in Kenya. The magnitude of estimated partial effects of exogenous household characteristics on inefficiency turns out to be very sensitive to model specification, and the model selection procedure leads to an unambiguous choice of best model. We propose a bootstrapping procedure to evaluate the size and power of the model selection procedure. The empirical application also provides further evidence on how household characteristics influence technical inefficiency in maize production in developing countries.

Social responsibility: U.S. power plants 1985–1998

This study introduces an Environmental Performance Index (EPI) to assess the performance of firms that produce both good and bad outputs. In the one good output one bad output case, the EPI simplifies to the ratio of good–bad output for period t + 1 and period t. After deriving the index, data for U.S. coal-fired power plants from 1985 to 1998 are used to demonstrate insights that the EPI can provide. We find that power plants with units participating in Phase I of the Acid Rain Program experience a dramatic improvement in their EPI during 1994–1995.

Efficient frontier estimation: a maximum entropy approach

An alternative efficiency estimation approach is developed utilizing generalized maximum entropy (GME). GME combines the strengths of both SFA and DEA, allowing for the estimation of a frontier that is stochastic, without making an ad hoc assumption about the distribution of the efficiency component. GME results approach SFA results as the one-sided inefficiency bounds used by GME shrink. Results similar to DEA are achieved as the bounds increase. The GME results are distributed like DEA, but yield virtually the same rankings as SFA. The results suggest that GME may provide a link between various estimators of efficiency.

How useful are signals? A micro-structure analysis

We analyze how the market processes a signaling event by studying a sample of self-tender offers, events often viewed as signals of firm value. By examining changes in the degree of informed trading, we find asymmetric information costs fall at announcement, remain low throughout the event, and increase at offer expiration. By 1 month following expiration, informed trading returns to a level not significantly different from that prior to the offer. Higher risk firms have significantly larger declines in information asymmetry during the offer. Increases in information asymmetry persist 1 month following expiration for firms with lower pre-offer informed trading.